director of analytics

Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><h2 class="jobSectionHeader"><b>
Director, Data Science - ICS Data Platform</b></h2><h2 class="jobSectionHeader">
Intuit&rsquo;s Customer Success platform (ICS) has an exciting opportunity to shape how we use Data and AI to drive insights and actions to drive customer outcomes, new customer growth, and adoption of Intuit services across the entire company. As the <b>Director of Data Science for the ICS Data Platform </b>you will be responsible for leading the development of the foundational data platform and capabilities that enable these outcomes for Intuit, reporting to the VP of Data Science for ICS. This is an exciting opportunity to develop the next generation of agentic tools to drive data science and the ICS ecosystem at Intuit.</h2><h2 class="jobSectionHeader">
In this role you will be leading a 35 person multi-disciplinary data science and analytics organization that will be connecting foundational data, agentic platform development, production modeling, platform product analytics and experimentation. You will directly manage the following teams which are working together to develop the aforementioned outcomes for the company:</h2><ul><li><h2 class="jobSectionHeader"><b>
Technical Data Analytics:</b> This team defines the data architecture, codevelops the data engineering strategy, owns the logic for KPI Standards, drives datamart prototyping and development in partnership with our Data Engineering team, and manages the technical mandates across the organization.</h2></li><li><h2 class="jobSectionHeader"><b>
Text Modeling Platform: </b>This team manages our unstructured text processing platform and develops many of our internal Data Science Products at Intuit such as our Voice of Customer tools. This capability converts multi-modal signals into structured data and actionable insights and serves them to thousands of internal stakeholders to drive real value to our end users and business. This team also manages the forecasts for our platform licenses and compute.</h2></li><li><div><b>
Agentic Analytics Platform Development:</b> This team is driving the transformation of how we do Data Science and Data Analytics work within ICS and is building the platform that brings this all together. They&rsquo;re developing servers, MCPs, agents, and orchestrators to enable all data professionals across the org to simplify their workflow and have greater impact in their spaces and beyond.</div></li><li><div><b>
ICS Platform Experimentation: </b>This team maintains the tools and governance for enabling experimentation at scale across ICS and coordinates experiments and traffic to ensure we&rsquo;re maximizing learnings against a fixed population of humans that serve our customers.</div></li><li><div><b>
Virtual Expert Platform (VEP) Product Analytics</b>: This team owns the product analytics support of our VEP space, which contains the tools our expert population (CPAs, Product Support Experts, etc) use to serve customers, as well as the platform on which all these contacts are managed. This team also manages the Agentic Performance Framework, driving visibility to our portfolio of production agents and their performance and maintenance.</div></li></ul><p></p><div><br>
In this role you will partner closely with various Customer Success Data Science teams as your peers, those embedded within our Consumer Group Segment, our Global Business Solutions Group Segment, and with the Expert Network Platform Data Science Team. You will also partner closely with our Data Product Management team responsible for managing our Data Product portfolio and prioritizing the problems we prioritize solving across this team.</div><p></p><div><br>
Furthermore, you will also partner with our Product Development org including the Data Engineering and AI Science teams to coordinate on development, as well as functional equivalents across our Business Units and Functional Data Science teams to align on common strategy and development and work with our Data Platform teams on aligning on strategy and managing our inputs into their roadmaps and technical mandates across Intuit.</div><p><b><br>
Responsibilities</b></p><ul><li><p>
Lead a 40 person organization (full time + contractors) managing those who manage the Technical Data Analytics, Data Tokenization, Unstructured Text Modeling, VEP Product Analytics, ICS Platform Experimentation, and Agentic Analytics Platform Development teams.</p></li><li><div>
Manage a 6-figure budget to strategically deploy contract resources to bolster the team through our business cycle to smooth out operations, and scale up to tackle business critical challenges that emerge.</div></li><li><div>
Lead the evolution of our datamart prototyping and metric standardization efforts leveraging GenAI to assist in the rapid development of production quality transformation to quickly harden the ICS data foundations in partnership with internal teams and partner organizations.</div></li><li><div>
Co-develop the vision for an integrated autonomous agentic data science platform that revolutionizes how we deliver data science and analytics at scale across ICS via a 150 person overall Data Science team resulting in substantial customer benefit, new customer growth, and adoption of Intuit services.</div></li><li><div>
Drive the development of the aforementioned vision across the various groups within this organization and in close partnership with your peers and partners across Intuit.</div></li><li><div>
Play a leadership role on Intuit&rsquo;s VOC Data Product, to influence product roadmaps, remove friction, and accelerate actionable insights for all businesses and customers across Intuit.</div></li><li><div>
Lead the development, validation, and operational deployment of MCPs and agents that include advanced machine learning models, including classification, clustering, time series forecasting, and reinforcement learning, to power CS automation, personalization, insight generation, and performance optimization.</div></li><li><div>
Be the steward of measurement frameworks and metric definitions (both measured and derived) to drive consistent use of metrics, processes, and insights tied to business strategy.</div></li><li><p>
Guide and inspire adoption of derived metrics, data governance, proper data development lifecycle, and agentic data products to influence enterprise-level investment decisions and adoption through strong partnerships and development outcomes.</p></li></ul><p></p><p><b><br>
Qualifications</b></p><ul><li><p>
Deep expertise in customer success and experience analytics, VoC methodologies, data engineering, and agentic industry tools. Ideally 12+ years working in Data Science or Data Analytics fields, and 6+ years managing data people managers.</p></li><li><div>
Proven track record of managing and developing people leaders leading Data Science, Data Analytics, or Data Engineering teams.</div></li><li><div>
Proven track record of developing high-performing teams and advancing analytics maturity in complex organizations.</div></li><li><div>
Advanced proficiency in data analysis, visualization, transformation, and modeling tools such as SQL, Python, R, Qlik, Tableau; experience with agentic development (MCP, agents, orchestrators) highly preferred.</div></li><li><div>
Extensive experience in supervised and unsupervised learning techniques including logistic regression, random forests, gradient boosting, NLP, text processing, topic extraction, and embedding techniques. Deep understanding of evaluation metrics, feature selection, and hyperparameter tuning.</div></li><li><div>
Demonstrated ability to leverage and develop GenAI systems (ChatGPT, NotebookLM, Anthropic Claude, etc) to make step-change impact to both business and personal work. Ongoing learning mindset to stay up to date on industry developments.</div></li><li><div>
Ability to access, integrate, and operationalize data from diverse sources including survey, behavioral, social, digital, and support channel data.</div></li><li><div>
Proven strategic impact through insights that drive retention, revenue, ecosystem adoption, customer benefit, and experience innovation.</div></li><li><div>
Demonstrated ability to influence senior executive stakeholders and lead cross-functional enterprise partnerships.</div></li><li><div>
Experience in developing and scaling measurement frameworks tied to organizational Input Goals, leading indicators, and Outcome Metrics indicators for customer outcomes and business performance.</div></li><li><div>
Strong experimentation background with the ability to lead hypothesis testing to deliver value across customer and expert populations as well as automate and scale platform experimentation standards across an organization.</div></li><li><p>
Passion for customer success, combined with extreme ownership, boundaryless leadership, operational rigor, and adaptability in dynamic environments.</p></li><li><p>
Familiarity and experience in the customer success, tax, B2B, fintech, money movement, accounting, sales, or voice of customer domains is a strong plus.</p></li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: 268500 - 363000</p></div><p></p>

Director, Data Science - Intuit Customer Success Data Platform

Intellia Therapeutics

<div><div><div><div><p>Why Join Intellia?</p></div><div><p>
Our mission is to develop curative genome editing treatments that can positively transform the lives of people living with severe and life-threatening diseases.</p></div><p></p><div><p>
Beyond our science, we live our four core values: One, Explore, Disrupt, Deliver and feel strongly that you can achieve more at Intellia. We have a single-minded determination to excel and succeed together. We believe in the power of curiosity and pushing boundaries. We welcome challenging thoughts and imagination to develop innovative solutions. And we know that patients are counting on us to make the promise a reality, so we must maintain high standards and get it done.</p></div><p></p><div><p>
We want all of our people to go beyond what is possible. We aren&rsquo;t constrained by typical end rails, and we aren&rsquo;t out to just &ldquo;treat&rdquo; people. We&rsquo;re all in this for something more. We&rsquo;re driven to cure and motivated for change. Just imagine the possibilities of what we can do together.</p></div></div><p></p><p>
How You Will Achieve More:</p><div><p>
The Director of Commercial Insights and Forecasting is responsible for defining and executing insights and analytics capabilities vital to Intellia&rsquo;s commercial launch. Reporting to the Senior Director of Insights, Analytics, and Forecasting, this role shapes strategy, tracks performance, and partners with commercial teams to drive operational excellence.</p><p></p><p>
Responsibilities include delivering cross-portfolio insights, developing forecast models, and ensuring commercial analytics support for launch readiness and global commercial planning. The Director operates in a dynamic, matrixed environment, acting as both leader and contributor, and adapts as the organization moves toward commercialization.</p></div><p></p><p>
Responsibilities:</p><p></p><div><ul><li>
Strategic Collaboration: As a key stakeholder within the commercial organization, this is a pivotal cross-portfolio role in fostering collaboration and providing thought partnership across various teams. Assist in assessing commercial strategies and tactics to quantify ROI and make recommendations for optimizing existing and future resources. Additionally, the role contributes to the Global Commercial Plan by delivering comprehensive country opportunity assessments, which encompass profit and loss (P&amp;L) forecasting and the evaluation of resourcing requirements.</li><li>
Forecast Modeling and Long-Range Planning: Contribute to the commercial forecast model development, refinement, and scenario planning. This includes market-based models to forecast pipeline uptake and project market evolution for strategic and tactical business decisions.</li><li>
Commercial Analytics Development: Contribute as an integral team member to build Intellia&rsquo;s commercial analytics capabilities. Clearly identify and communicate insights, strategic business implications, and actionable recommendations.</li><li>
Data Analysis: Extract, mine, and synthesize secondary data analyses to understand patient and customer journeys, therapy utilization, and the market landscape, thereby guiding strategic decisions.</li><li>
Primary Research: Partner with commercial cross functional teams to develop, deploy, and communicate primary market research across external customers (HCPs, patients, accounts, etc.) to address key business questions.</li><li>
Commercial Planning and Budgeting: Support the commercial planning and budgeting process by providing timely and thoughtful input into the tactical and budget plan for Commercial Insights, Analytics, and Forecasting.</li><li>
Customer Segmentation and Resource Optimization: Partner with sales and operations teams to optimize customer segmentation, targeting, alignment, call planning, and resource allocation.</li><li>
Systems and Data Operations: Collaborate with technology and data operations teams to ensure necessary systems are capturing and processing data to facilitate insight plans.</li></ul></div><div><p>
About You:</p><p></p><div><ul><li>
Results-driven self-starter with a strong sense of accountability, performance orientation, and the ability to collaborate effectively across functional teams</li><li>
Track record of successfully supporting program teams with insight and analytics and forecast generation</li><li>
Willingness and ability to adapt and pivot based on the business needs as the organization matures</li><li>
Operate as an individual contributor while being an active member of a cross functional dynamic team</li><li>
Displays a clear understanding of secondary data sources attributes (e.g. claims data), strengths and gaps to provide conclusions and recommendations</li><li>
Strong strategic agility with the ability to analyze complex business issues, adapt to evolving market and competitive dynamics, and establish proper objectives</li><li>
Proven ability to generate insights, interpret data, develop KPIs, and leverage advanced predictive analytical models to influencing across the commercial organization, and proactively communicating key insights and recommendations from an array of data points</li><li>
Strong presentation skills with ability to distil and summarize information for presentation to Senior Leadership</li><li>
Operates in a fast-paced, entrepreneurial, and collaborative environment; with strong interpersonal skills and ability to work positively with others</li><li>
Exceptional skills in proactivity, planning, and project/meeting management</li><li>
Organized and logical, with a high degree of flexibility to change direction when needed</li><li>
Bachelor&rsquo;s degree in a quantitative discipline required</li><li>
7-10 years of life science industry or relevant consulting experience</li><li>
At least 5-7 years of direct experience in insights &amp; analytics</li><li>
Experience in cell/gene therapy, rare disease and/or cardiovascular</li><li>
Commercial launch experience</li><li>
Proven track record of successfully partnering cross functionally within a matrix environment</li><li>
Experience working with a range of data sets &ndash; specialty pharmacy/patient-level deidentified data, IQVIA data, payer/claims data, large unstructured data sets (e.g., social and digital media data, secondary data sources), etc.</li><li>
Proficiency with complex Excel modeling, and other advanced data manipulation/modeling tools</li><li>
Experience in both primary and secondary market research approaches, techniques, and insight synthesis</li></ul></div><p></p><div><div><p>
#LI-SV1</p><p>
#LI-Hybrid</p></div></div></div><p></p><p>
EEOC Statement: Intellia believes in a diverse environment, and is committed to equal employment opportunity for all its employees and qualified applicants. We do not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Intellia will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.</p><p></p><p>
Applications are accepted on a rolling basis, and will continue to be accepted until the position is filled at which point the position will be taken down.</p><p></p>
The base salary for this position is expected to range between $225,000.00 - $275,000.00 USD per year.<p>
The salary offered is determined based on a range of factors including, but not limited to, relevant education and training, overall related experience, specialized, rare or in-demand skill sets, internal comparators and other business needs. Upon joining Intellia, your salary will be reviewed periodically and additional factors such as time in role and performance will be considered. Intellia may change the published salary range based on company and market factors.</p><p>
Additional compensation includes a performance-based annual cash bonus, a new hire equity grant, and eligibility to be considered for annual equity awards the value of which are determined annually at the Company&rsquo;s discretion.</p>
</div><p><b>EEOC Statement:</b> Intellia believes in a diverse environment, and is committed to equal employment opportunity for all its employees and qualified applicants. We do not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Intellia will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.</p></div>

DIRECTOR, COMMERCIAL ANALYTICS AND FORECASTING

Galderma

<div><div>Galderma is the emerging pure-play dermatology category leader, present in approximately 90 countries. We deliver an innovative, science-based portfolio of premium flagship brands and services that span the full spectrum of the fast-growing dermatology market through Injectable Aesthetics, Dermatological Skincare and Therapeutic Dermatology. Since our foundation in 1981, we have dedicated our focus and passion to the human body's largest organ - the skin - meeting individual consumer and patient needs with superior outcomes in partnership with healthcare professionals. Because we understand that the skin, we are in shapes our lives, we are advancing dermatology for every skin story.</div><div></div><div><br>
We look for people who focus on getting results, embrace learning and bring a positive energy. They must combine initiative with a sense of teamwork and collaboration. Above all, they must be passionate about doing something meaningful for consumers, patients, and the healthcare professionals we serve every day. We aim to empower each employee and promote their personal growth while ensuring business needs are met now and into the future. Across our company, we embrace diversity and respect the dignity, privacy, and personal rights of every employee.</div><div></div><div><br>
At Galderma, we actively give our teams reasons to believe in our bold ambition to become the leading dermatology company in the world. With us, you have the ultimate opportunity to gain new and challenging work experiences and create an unparalleled, direct impact.</div><div>
As Associate Director for Architecture and Analytics, you will be reporting to the U.S Head of IT and will be part of the U.S Regional IT Team. The is a new opportunity for an experienced candidate to develop a deep understanding of the organizational, business, financial, operational, and commercial priorities to deliver business value through reliable, effective, and efficient data and<br>
analytics solutions.</div><div><br>
The Associate Director for Architecture and Analytics is responsible for the overall data &amp; analytics solutions &ldquo;Design, Deploy and Sustain&rdquo; activities across Galderma, ensuring scalability, performance, reusability, compliance, and consistency, leveraging best practices in data ingestion, data modeling, integration, data science and front-end reporting.</div><div></div><div>
Key Responsibilities<br>
Leadership &amp; Management</div><ul><li><div>
Provide support and consultancy to central and regional project teams, IT Service Owners, Managed Services, and Application Support teams to ensure solutions are designed, delivered and sustained at the right level of integration, leveraging accurate and compliant technology</div></li><li><div>
Share design and solutions across functional areas and regions to ensure collaboration, and facilitate synergies</div></li><li><div>
Make sure solutions are designed to maximize both global and business ROI</div></li><li><div>
Ensure consistency of solution design across areas to support integrated reporting and analytics and to facilitate widespread adoption of use cases</div></li><li><div>
Manage the portfolio of &quot;as is&quot; and &quot;to be&quot; solutions, ensuring they are documented and communicated effectively.</div></li><li><div>
Act as the main point of contact for project, security, architecture, and infrastructure teams.</div></li><li><div>
Coordinate activities between internal/external resources for data acquisition, engineering, development, delivery and hyper-care/sustain</div></li><li><div>
Conduct design reviews for new solutions and major changes to existing solutions</div></li><li><div>
Identify and review gaps in capability, and validate options</div></li><li><div>
Exceptional ability to collaborate and work effectively with a diverse group of teams (either onsite or virtual), functional areas, and individuals</div></li><li><div>
Ability to thrive in a fast-paced, complex environment and to communicate across all levels of the organization</div></li><li><div>
Recruit, develop and grow a strong pipeline of platform engineering professionals.</div></li><li><div>
Provide budgeting and resources for projects</div></li></ul><div>
Data ingestion, integration and modeling</div><ul><li><div>
Provide guidance and support for acquiring external/internal data for Analytics and data hub</div></li><li><div>
Provide requirements and priorities for data acquisition, establishing and standardizing the processes for loading and maintaining critical 1P, 2P and 3P data</div></li><li><div>
Oversee and manage resources</div></li><li><div>
Ensure consistent data models with clear guidelines for localization</div></li><li><div>
Ensure data is enabled at the right level of Integration</div></li><li><div>
Leverage existing data standards, and identify gaps in data standards and raise them to data and architectural leadership</div></li></ul><div>
Front-end Reporting Tools</div><ul><li><div>
Govern tools and functionalities roadmap, and ensure that the front-end tools are correctly positioned, with the necessary capabilities to fully exploit them for key data and reporting initiatives</div></li><li><div>
Maintain and drive adoption of global templates and accelerators</div></li><li><div>
Enhance skills and capabilities in frontend solution design, user experience and data visualization</div></li><li><div>
Facilitate usage of solutions in front-end tools, including PowerBI, etc.</div></li></ul><div>
Advanced Analytics &amp; Data Science</div><ul><li><div>
Partner with the Business Unit, global and functional business stakeholders to facilitate an understanding of key business concerns requiring advanced analytics</div></li><li><div>
Provision, deploy and industrialize Galderma compliant data science toolset</div></li><li><div>
Streamline Integration with data science tools and facilitate usage of advanced analytics solutions</div></li><li><div>
Influence architecture and data models to empower advanced analytics</div></li><li><div>
Collaborate on the front-end user interfaces for the deployment of advanced analytics</div></li><li><div>
Identify advanced analytic initiatives that can be scaled and industrialize them</div></li><li><div>
Conduct design reviews for new mathematical (R) solutions and major changes to existing solutions</div></li><li><div>
Guide projects to identify the best approach for modeling data for mathematical analysis</div></li></ul><div>
Platforms and Applications sustainability</div><ul><li><div>
Lead, organize and coordinate teams for the delivery of effective and low-cost, application sustain and monitoring services</div></li><li><div>
Ensure Sustain services are built into all future deployments of applications</div></li><li><div>
Identify gaps in solutions support, and liaise with service providers to resolve them</div></li><li><div>
Manage the knowledge requirements, transfer &amp; approach of the support teams</div></li><li><div>
Create the mechanism for triggering support and maintenance with the goal of ticket reductions and overall efficiencies</div></li><li><div>
Collaborate with Service Management and external teams.</div></li></ul><div></div><div>
As member of the IT Extended Management Team</div><ul><li><div>
Contribute to set direction of the Global IT organization</div></li><li><div>
Always act as &ldquo;One Enterprise IT&rdquo;</div></li></ul><div></div><div>
Other duties as assigned</div><div><br>
Skills &amp; Qualifications<br>
Qualifications</div><ul><li><div>
Minimum 5 years plus experience managing onshore and offshore teams</div></li><li><div>
10-plus years work experience in managing data-related activities within a Commercial organization</div></li><li><div>
Minimum 5 years plus in Business Intelligences Reporting or/and Visualization tools</div></li><li><div>
Strong experience with design, development, and deployment of multiple complex or large-scale operational analytics capabilities.</div></li><li><div>
Fluent in Azure cloud data architecture, orchestration, and data integration patterns (Data Factory, Event Hub, Databricks, etc.), storage and processing (Datalake, Snowflake)</div></li><li><div>
Experience with the implementation of self-service analytic solutions such as Powerbi, or BOBJ (Business Objects) strongly preferred</div></li><li><div>
Familiarity with DevOps best practices and automation of documentation, testing, build, deployment, configuration, and monitoring</div></li><li><div>
Good understanding of azure cloud PaaS services like security, monitoring, logging, scaling, etc.</div></li><li><div>
Familiar with data frameworks such as Data Fabric, Data Mesh, Data Lakehouse Broad knowledge of predictive analytic techniques and statistical diagnostics of models.</div></li><li><div>
Experience with health care data as well as FMCG/CPG industries</div></li></ul><div></div><div>
Education:</div><ul><li><div>
Master&rsquo;s degree or equivalent with a specialization in IT or information systems</div></li><li><div>
PMP Certification is a plus.</div></li><li><div>
Scrum master certification is a plus.</div></li></ul><div></div><div>
What we offer in return</div><div>
You will be working for an organization that embraces diversity &amp; inclusion and believe we will deliver better outcomes by reflecting the perspectives of our diverse customer base. You will also have access to a range of company benefits, including a competitive wage with shift differential, annual bonus opportunities and career advancement and cross-training.</div><div></div><div>
Next Steps</div><ul><li><div>
If your profile is a match, we will invite you for a first virtual conversation with the recruiter.</div></li><li><div>
The next step is a virtual conversation with the hiring manager</div></li><li><div>
The final step is a panel conversation with the extended team</div></li></ul><div></div><div>
Our people make a difference</div><div>
At Galderma, you&rsquo;ll work with people who are like you. And people that are different. We value what every member of our team brings. Professionalism, collaboration, and a friendly, supportive ethos is the perfect environment for people to thrive and excel in what they do.</div><div></div><div>
Employer&rsquo;s Rights:</div><div>
This job description does not list all the duties of the job. You may be asked by your supervisors or managers to perform other duties. You will be evaluated in part based on your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not an employment contract, and either you or the employer may terminate employment at any time, for any reason. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.</div></div>

Associate Director for Architecture and Analytics Platforms, IT Data & Analytics

Dentsu

<div></div><div><div>Job Description:</div><div>
The Lead Analyst will play an important role in our US-based attribution modeling capabilities. Reporting into the Sr. Director, you will use data science techniques to examine marketing activities and to estimate their growth to our clients. These projects will include Media Mix Optimization or Marketing Mix Modeling, Analysis of Covariance (test and control), Cluster Analysis, and Attribution Modeling of disaggregate event-stream data. You will be hands-on keyboard building and revise code and inspire creativity.</div><div></div><div><div><div><div><div><div><div><div><div><div>
You Will:</div><ul><li><div>
Manage data collection with clients</div></li><li><div>
Develop reports and processes to manage data quality control</div></li><li><div>
Drive innovation in analytics and achieve client expectations</div></li><li><div>
Implement and develop attribution models</div></li><li><div>
Interpret and visualize model estimates and diagnostics</div></li><li><div>
Drive innovation and continuous improvement</div></li></ul><div></div><div>
You Have:</div><ul><li><div>
Bachelor's degree in at least one of these fields preferred: statistics, economics, applied mathematics, optimization, computer science, physics; (preference for advanced degree).</div></li><li><div>
3+ years of experience applying analytics to measure marketing effectiveness with a focus on measurement and attribution</div></li><li><div>
Experience working with and measuring TV, digital media, and CRM data</div></li><li><div>
Knowledge of statistics/data science, including regression, hierarchical or mixed regression, and machine learning techniques (Na&iuml;ve Bayes, Markov Chain, Random Forest etc.)</div></li><li><div>
Advanced modeling skills with Python and R</div></li><li><div>
Cloud environment experience, especially GCP and AWS</div></li><li><div>
Experience working with platforms like Databricks a plus</div></li><li><div>
Data visualization experience with tools like Tableau or Power BI a plus</div></li><li><div>
An understanding of marketing goals and how different media channels support these goals</div></li><li><div>
Experience presenting information in spoken, written or visual form to a variety of audiences, from our teams to external client teams</div></li><li><div>
Experience with collaboration with teammates, especially global teams, to share insights and techniques</div></li></ul><div></div><div>
The annual salary range for this position is $78,000-$126,500. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.</div><div></div><div>
Benefits available with this position include:</div><div></div><ul><li><div>
Medical, vision, and dental insurance,</div></li><li><div>
Life insurance,</div></li><li><div>
Short-term and long-term disability insurance,</div></li><li><div>
401k,</div></li><li><div>
Flexible paid time off,</div></li><li><div>
At least 15 paid holidays per year,</div></li><li><div>
Paid sick and safe leave, and</div></li><li><div>
Paid parental leave.</div></li></ul><div></div><div>
Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit <div>www.dentsubenefitsplus.com</div>.</div><div></div><div>
To begin the application process, please click on the &quot;Apply&quot; button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.</div><div></div><div><i>
At dentsu, we believe great work happens when we&rsquo;re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.</i></div><div></div><div>
#LI-REMOTE #LI-MERKLE</div></div></div></div></div></div></div></div></div></div><div></div><div>
Location:</div>
Chicago<div></div><div>
Brand:</div>
Merkle<div></div><div>
Time Type:</div>
Full time<div></div><div>
Contract Type:</div>
Permanent<div></div><div><div><div>
Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.</div></div><div></div><div><div><br>
Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to <div>ApplicantAccommodations@dentsu.com</div> by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you.</div></div></div></div>

Lead Analyst, Measurement and Attribution

Merck

<div><p><b>Job Description</b></p><p></p><p>
This role will reside within the<b> </b>Digital Human Health (DHH) US Market Engagement Team. This team provides strategic thought-partnership to US commercial stakeholders through understanding brand strategy, co-creating DHH demand and associated business requirements aligned to business priorities. The US Market Engagement team quarterbacks demand fulfillment and leads the activation of DHH products and services.</p><p>
The Associate Director will be responsible for developing and communicating data-driven and actionable insights that drive greater customer and market understanding to inform launch &amp; go-to market strategies and help meet commercial objectives.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li><p><b>
Translate business needs</b> and priorities to build analytical plans that answer business questions by providing actionable insights. Effectively communicating advanced analytics to stakeholders to inform business decisions.</p></li><li><p><b>
Communicate &amp; collaborate effectively </b>with cross functional teams with competencies in market research, forecasting, commercial analytics, data science, customer engagement, data strategy, population health, competitive insights, marketing operations, medical &amp; clinical backgrounds.</p></li><li><p><b>
Analyze data</b> across disparate databases/sources (including claims/EMR Data and other sources) to develop insights that inform commercial business strategies.</p></li><li><p><b>
Stay current with industry trends</b> and advancements in analytical methodologies to bring new ideas forward (including application of GenAI) that will enhance analytic capabilities of the organization.</p></li><li><p><b>
Contribute to innovative experiments</b>, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria to make meaningful improvements to the business processes and strategies.</p></li><li><p><b>
Derive actionable business insights</b> from various data sources, develop clear data story, and communicate effectively to business stakeholders.</p></li><li><p><b>
Lead and mentor a team</b> of data scientists and business analysts (on-shore and off-shore), providing guidance on best practices in data analytics, modeling and data visualization, through the scope of a project.</p></li></ul><p></p><p>
The individual in this role will be an independent contributor or lead a small team, supporting commercial insight and analytics needs for US marketing teams. The person will have demonstrated consistently strong leadership skills, an ability to work objectively and deal well with ambiguity and strong partnership skills. They will empower a growth mindset and inspire a culture of continual learning. This role will require interfacing and collaborating with many teams requiring strong communication skills.</p><p>
The preferred candidate will have an entrepreneurial spirit, consultative and strategic mindset, experience in <b>immunology</b> &amp; technology (AI, agentic etc.), and a demonstrated record of producing actionable insights from analytics. The person should be able to identify the data, analytics and research needs to define, enable, and inform commercial strategies of our brand and business leaders. The selected candidate should have a good understanding of US data landscape, commercial analytics capabilities, and technology, including application of GenAI to drive effectiveness. The individual who will thrive in this role will be motivated by developing a deep appreciation of pharma secondary data sources and possess an ability to define and translate objectives and business questions into analytical problems that require advanced and scalable solutions that produce actionable insights.</p><p></p><p><b>
Education Requirements:</b></p><ul><li><p>
BS (or equivalent) in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, Public Health, or equivalent scientific/ commercial discipline.</p></li><li><p>
MBA, MS or PhD degree is preferred</p></li></ul><p></p><p><b>
Required Experience and Skills:</b></p><ul><li><p>
5+ years of relevant experience delivering complex analytical projects in the pharmaceutical, biotech, consulting, or healthcare industry.</p></li><li><p>
Knowledge in mining patient medical claims/EMR data with a strategic mindset and proven record of being able to produce actionable business insights that drive positive commercial results.</p></li><li><p>
Self-motivated, proactive mindset, and ability to work independently.</p></li><li><p>
Story-telling and executive presence with senior leaders.</p></li><li><p>
Effective interpersonal skills, communication skills, and stakeholder management, including experience collaborating in a matrixed organization and ability to align stakeholders on data-driven decisions.</p></li><li><p>
Strong business acumen and consultative skills, with proven ability to comprehend business processes and commercial strategies in detail and translate these into detailed business standards/questions that power analytics.</p></li><li><p>
Effective organizational and project management skills to work effectively across the organization and manage a team of business analysts and data scientists efficiently and effectively.</p></li><li><p>
Innovative thinking with affinity toward experimentation and appropriate risk-taking, including curiosity about how agentic AI and automation can enhance commercial analytics and insight generation.</p></li><li><p>
Awareness of the opportunities, limitations, and responsible use of AI (including agentic AI) in a regulated environment (e.g., data privacy, validation of AI-generated outputs).</p></li><li><p>
Prior hands-on experience working with healthcare data especially EMR/EHR, Claims Data (i.e. IQVIA APLD) and various data offerings.</p></li><li><p>
Ability to develop efficient programming code and software assets that provide advanced analytical functionality.</p></li><li><p>
Proven data science experience leveraging advanced statistical methods, Machine Learning/ Artificial Intelligence, Natural Language Processing (NLP) modeling and model evaluation is a plus.</p></li><li><p>
Knowledge of both machine learning and descriptive algorithms/modeling using such languages as Python, R studio, SAS, SQL etc.</p></li><li><p>
Understands the business context, challenge, limitation, constraints and goals to effectively match the capability of the statistical and mathematical and M/L approaches to the business, scientific and operational challenge</p></li><li><p>
Travel may be required &lt;20%.</p></li></ul><p></p><p><b>
Preferred Experience and Skills:</b></p><ul><li><p>
Domain knowledge in <b>immunology</b>, specifically as it relates to data analytics.</p></li><li><p>
MBA, MS or PhD degree is a plus.</p></li></ul><p></p><p><b>
Required Skills:
</b></p>Brand Strategy, Business Analysis, Business Processes, Collaborative Communications, Commercial Analytics, Commercial Strategies, Communication, Data Science, Demand Management, Immunoassays, Immunology, Immunotherapy, Innovation, Leadership, Marketing Data Analytics, Market Research, Natural Language Processing (NLP), Public Health, Python (Programming Language), Requirements Management, Sourcing and Procurement, Stakeholder Relationship Management, Strategic Planning<p></p><p><b>
Preferred Skills:</b></p><p></p><p><b><br>
US and Puerto Rico Residents Only:</b></p><p></p><p>
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.</p><p>
As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:</p><p></p><p>
EEOC Know Your Rights</p><p>
EEOC GINA Supplement
</p><p></p><p>We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another&rsquo;s thinking and approach problems collectively.</p><p></p><p>
Learn more about your rights, including under California, Colorado and other US State Acts</p><p></p><p><b>
U.S. Hybrid Work Model</b></p><p></p><p>
Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as &ldquo;remote&rdquo;.</p><p></p><p>
The salary range for this role is</p>
$156,900.00 - $247,000.00<p></p><p>
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee&rsquo;s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.</p><p></p><p>
The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.</p><p></p><p>
We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.</p><p></p><p>
You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.</p><p></p><p><b>
San Francisco Residents Only:</b> We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance</p><p></p><p><b>
Los Angeles Residents Only:</b> We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance</p><p></p><p><b>
Search Firm Representatives Please Read Carefully</b><br>
Merck &amp; Co., Inc., Rahway, NJ, USA, also known as Merck Sharp &amp; Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.</p><p></p><p><b>
Employee Status:
</b></p>Regular<p></p><p><b>
Relocation:</b></p>
No relocation<p></p><p><b>
VISA Sponsorship:</b></p>
No<p></p><p><b>
Travel Requirements:</b></p>
10%<p></p><p><b>
Flexible Work Arrangements:</b></p>
Hybrid<p></p><p><b>
Shift:</b></p>
Not Indicated<p></p><p><b>
Valid Driving License:</b></p>
No<p></p><p><b>
Hazardous Material(s):</b></p>
n/a<p></p><p><b>
Job Posting End Date:</b></p>
03/9/2026<ul><li><b>A job posting is effective until 11:59:59PM on the day </b><b>BEFORE</b><b> the listed job posting end date. Please ensure you apply to a job posting no later than the day </b><b>BEFORE</b><b> the job posting end date.<br>
</b></li></ul><br>
<p><b>Requisition ID:</b>R387139</p></div>

Assoc. Dir , Business Insights & Analytics and Data Science

Fogo de Chao

<div><p>At Fogo de Ch&atilde;o, we strive to give our guests an unforgettable dining experience of discovery while showcasing the Culinary Art of Churrasco. Our mission is to ignite fire and joy to care for our team, our guests, and our communities. We believe better futures start when we bring our best to the table every day to Feed a Purposeful Future &ndash; starting with our team members. We feed our teams with fulfilling job opportunities, making space around the table so everyone feels welcome. At Fogo, we&rsquo;ll provide you with a fulfilling career with professional and personal growth opportunities at every level. Our values of teamwork, integrity, excellence, humility and <i>Deixa Comigo</i> (we&rsquo;ve got you!) are more than just words, it&rsquo;s how we do things every day.</p><p></p><p>
The Director of Finance and Real Estate Analytics will serve as a key strategic leader responsible for leveraging advanced analytics, financial modeling, and market intelligence to guide real estate development decisions across the United States. This leader will assess cannibalization risks, optimize market expansion, elevate asset performance, and ensure that each new restaurant contributes to long-term enterprise value.</p><p></p><p>
The role sits at the intersection of <b>finance, real estate, strategy, and operations</b>, providing executive-level insights that shape the future footprint of the brand. The ideal candidate combines deep financial acumen with expertise in multi-unit restaurant development, market planning, and asset management&mdash;and is capable of translating complex data into clear, actionable strategic recommendations.</p><div></div><p><b>
Key Responsibilities</b></p><p></p><p><b>
Financial Analysis &amp; Business Case Development</b></p><ul><li>
In collaboration with the CFO, own the <b>pro-forma process</b> for new restaurant openings, relocations, and remodels, ensuring rigor in assumptions, sensitivity analysis, and ROI modeling.</li><li>
Evaluate capital expenditure requirements and develop <b>asset-level investment strategies</b> that maximize return on invested capital (ROIC).</li><li>
Partner with Finance, Development, and Operations to refine annual development targets aligned with enterprise goals.</li><li>
Prepare executive-level presentations summarizing financial outcomes, risks, and scenario planning.</li></ul><p></p><p><b>
Strategic Development &amp; Cannibalization Modeling</b></p><ul><li>
Lead all analytical efforts related to <b>cannibalization modeling</b>, demand transfer, and revenue forecasting for potential new restaurant sites.</li><li>
Develop and maintain <b>market optimization frameworks</b> to guide long-term growth strategy, including infill development, market densification, and whitespace identification.</li><li>
Build decision models that quantify financial impact on existing units and assess risk-adjusted returns for each new site.</li><li>
Identify underpenetrated and over penetrated markets across the U.S. to inform strategic expansion pacing and capital allocation.</li></ul><p></p><p><b>
Real Estate Strategy &amp; Asset Management</b></p><ul><li>
Collaborate with Real Estate and Development teams to evaluate trade areas, real-estate quality, and competitive positioning.</li><li>
Oversee the creation and maintenance of <b>market prioritization maps</b>, including portability, site ranking tools, and 3&ndash;5 year market roadmaps.</li><li>
Support decisions regarding relocations, remodels, closures, and portfolio optimization.</li><li>
Provide insights into lease negotiations, rent-to-sales benchmarks, and real-estate performance metrics.</li><li>
Provide the Real Estate and Operations Team with insights into over performing and under performing restaurants using all available data sources.</li></ul><p><b>
Cross-Functional Leadership &amp; Influence</b></p><ul><li>
Serve as a senior advisor to the CFO, Chief Development Officer, and Executive Team on growth strategy.</li><li>
Lead a high-performing analytics team, promoting excellence in data modeling, geospatial analysis, and financial insight generation.</li><li>
Partner closely with Operations to understand unit-level performance drivers and the operational impact of new openings.</li><li>
Influence organizational decision-making through clear communication of complex financial concepts and correlation insights.</li></ul><p><b>
Data, Tools &amp; Process Ownership</b></p><ul><li>
Champion best-in-class analytical methods, including <b>geospatial analytics, predictive modeling, machine learning</b>, and advanced BI solutions.</li><li>
Manage relationships with external data partners (Kalibrate, Site Zeus, etc.) to ensure accuracy and strategic value.</li><li>
Develop standardized dashboards and reporting tools to support repeatable, scalable development processes.</li></ul><div></div><p><b>
Core Competencies</b></p><ul><li><b>
Strategic Thinking</b> &ndash; Ability to synthesize market, financial, and competitive data into actionable development strategies.</li><li><b>
Advanced Financial Acumen</b> &ndash; Expert in pro-forma modeling, ROI/IRR analysis, sensitivity testing, and capital planning.</li><li><b>
Analytical Dexterity</b> &ndash; Skilled in cannibalization modeling, geospatial analytics, forecasting, and demand planning.</li><li><b>
Cross-Functional Collaboration</b> &ndash; Adept at influencing executives and working with operations, finance, and real estate teams.</li><li><b>
Business Communication</b> &ndash; Executive-level communication skills, capable of storytelling through data to drive decisions.</li><li><b>
Leadership &amp; Talent Development</b> &ndash; Ability to lead, mentor, and inspire analytics and finance professionals.</li><li><b>
Problem Solving</b> &ndash; Skilled in navigating ambiguity, pressure-testing assumptions, and resolving complex business challenges.</li><li><b>
Technical Skills</b> &ndash; Proficiency in Excel, SQL, Tableau/Power BI, GIS tools, and predictive modeling techniques.</li></ul><div></div><p><b>
Experience Requirements</b></p><ul><li>
10+ years in <b>financial analysis</b>.</li><li>
Prior experience in <b>development analytics, site strategy, financial planning &amp; analysis, or asset management</b>.</li><li>
Experience presenting to C-suite leaders and Boards.</li><li>
Bachelor&rsquo;s degree in Finance, Business, Economics, or related field; MBA preferred</li></ul><p></p><p><i>
Medical, Dental, and Vision insurance are available for full-time Team Members on the first of the month following their start date. Additionally, company-paid Life Insurance and Short-Term Disability are provided where allowed. We offer a comprehensive voluntary benefits package including Critical Illness, Hospital Indemnity, and Accident Coverage.</i></p><p></p><p>
Fogo de Ch&atilde;o is an Equal Opportunity &amp; E Verify Employer</p></div>

Director of Finance and Real Estate Analytics

Risepoint

<div><p><b>Risepoint is an education technology company that provides world-class support and trusted expertise to more than 100 universities and colleges. We primarily work with regional universities, helping them develop and grow their high-ROI, workforce-focused online degree programs in critical areas such as nursing, teaching, business, and public service. Risepoint is dedicated to increasing access to affordable education so that more students, especially working adults, can improve their careers and meet employer and community needs.
</b></p><p></p><p><b>The Impact You Will Make
</b></p><p>You will lead the data science behind our Student Journey Platform &mdash; a system designed to know what a student needs before they ask, intervene at the moments that matter most, and personalize the experience across every university we serve. This isn't about reactive tooling. It's about building the intelligence layer that orchestrates real-time decisions across the full arc of a student's journey &mdash; from first inquiry through completion &mdash; and doing it at a scale that no single institution could achieve alone.
</p><p></p><h2 class="jobSectionHeader"><b>How You Will Bring Our Mission to Life
</b></h2><p>At Risepoint, data science isn't a reporting function &mdash; it's the engine powering predictive AI voice and text experiences that meet students where they are and guide them where they need to go. As Director of Data Science, you'll own the models, evaluation systems, and analytical frameworks that make those experiences smarter, more responsive, and more human over time. Your work won't live in dashboards. It will show up in conversations, decisions, and outcomes for hundreds of thousands of students.
</p><p></p><h2 class="jobSectionHeader"><b>What You Will Do
</b></h2><p>You'll lead a multidisciplinary team across three interrelated domains:
</p><p><b>Machine learning models &amp; Lifecycle </b>&mdash; Build cutting edge machine learning models and own the end-to-end lifecycle of production ML models powering predictive and conversational AI experiences. Drive next best action, propensity, and intervention models from discovery through deployment, with governance and monitoring frameworks that ensure they stay accurate and reliable in the wild.
</p><p></p><p><b>Multimodal Intelligence (Voice, Text &amp; Generative AI) </b>&mdash; Architect frameworks to extract high-signal insights from voice, text, and behavioral interaction data &mdash; spanning classical NLP, large language models, and generative AI techniques &mdash; to surface what structured data alone will never reveal. Integrate disparate signals to build a unified, real-time view of student intent and experience.
</p><p></p><p><b>Tech Product Analytics &amp; Experimentation </b>&mdash; Drive the experimentation roadmap (A/B testing, feature rollouts, behavioral studies) with statistical rigor to ensure AI-powered product decisions are backed by hard data. Define evaluation standards for generative and predictive features, and close the loop between model outputs and product requirements.
</p><p></p><p><b>Technical Leadership </b>&mdash; Scale a multidisciplinary team by fostering a culture of ownership, analytical rigor, and rapid iteration. Partner with Product and Engineering to define technical success metrics that translate directly into business ROI. Distill complex technical outcomes into compelling narratives that drive alignment and action at the leadership level.
</p><p></p><h2 class="jobSectionHeader"><b>What Success Looks Like
</b></h2><ul><li><b>Predictive Precision </b>&mdash; Models that anticipate student needs, surface the right intervention at the right moment, and improve with every interaction
</li><li><b>Voice &amp; Text as a Strategic Asset </b>&mdash; Conversational data is no longer raw signal &mdash; it's a structured, queryable source of truth that drives product and operational decisions
</li><li><b>Rigorous AI Evaluation </b>&mdash; Every generative and predictive feature ships with clear evaluation criteria, performance baselines, and monitoring in place
</li><li><b>Data-Backed Outcomes </b>&mdash; A measurable link between AI-driven interactions and improved student outcomes, including reduced drop-off at critical journey moments and higher completion rates
</li><li><b>Team Excellence </b>&mdash; A growing, engaged team that ships consequential work with increasing speed and independence
</li></ul><p></p><h2 class="jobSectionHeader"><b>How Impact Will Be Measured
</b></h2><ul><li>A prioritized roadmap of ML and analytics initiatives with clear owners, success metrics, and decision timelines reviewed on a recurring cadence
</li><li>An AI evaluation and monitoring program for key AI-enabled features, including scorecards, decision thresholds, and alerting for performance regressions
</li><li>A standardized conversational taxonomy and recurring reporting across voice and text interactions that surfaces top drivers, trend movement, and emerging issues
</li><li>Measurable improvement in at least two agreed student or operational outcome measures through data science-led changes
</li></ul><p></p><h2 class="jobSectionHeader"><b>What You'll Bring to the Team
</b></h2><ul><li>A builder's mindset &mdash; you create structure from ambiguity and rally people around shared goals
</li><li>Deep intuition for how predictive and generative AI systems behave in production &mdash; and what it takes to keep them performing
</li><li>The ability to move fluidly between strategic thinking and hands-on technical work without losing altitude
</li><li>A track record of translating complex models and analyses into narratives that drive executive action
</li><li>Deep credibility with engineers, product managers, and analysts alike
</li><li>A genuine investment in developing the people around you
</li></ul><p></p><h2 class="jobSectionHeader"><b>Experience That Matters Most
</b></h2><ul><li>10+ years in data science, machine learning, or analytics roles
</li><li>5+ years leading multidisciplinary data science or analytics teams
</li><li>Hands-on experience building or evaluating predictive AI systems in voice or text-based products
</li><li>Production machine learning experience &mdash; model building, launch, governance, monitoring, and lifecycle management
</li><li>Strong command of Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)
</li><li>Experience designing evaluation frameworks for LLM or generative AI features
</li><li>Proven experience designing and analyzing experiments (A/B testing, feature rollouts, behavioral studies)
</li><li>Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related field &mdash; or equivalent experience
</li></ul><p></p><h2 class="jobSectionHeader"><b>Experience That's Great to Have
</b></h2><ul><li>Familiarity with generative AI applications in a product or customer experience context or agentic workflow design
</li><li>Experience with next-best-action, recommendation, or real-time intervention modeling
</li><li>Familiarity with cloud data platforms and distributed data technologies (Spark, Databricks, etc.)
</li><li>Background in EdTech, higher education, or other mission-driven industries
</li><li>Experience partnering with GTM or operations teams, not just product and engineering
</li></ul><p></p><p><b><i>Risepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.</i></b></p></div><p></p>

Director, Data Science

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