advanced analytics specialist

Chick-fil-A Corporate

<div>How We Work At Chick-fil-A: Chick-fil-A, Inc. ('Chick-fil-A' or 'the Company') Staff members play a vital role in achieving our strategic goals by developing their skills, fostering inclusive teamwork, and embracing innovation. All Staff are expected to contribute to a compelling future by inspiring and motivating those around them. Growth and development are essential at Chick-fil-A. We want Staff to seek new perspectives and adopt new methods to drive continuous improvement and adaptation to evolving business needs. Lastly, we ask Staff to seek wisdom, expect the best, accept responsibility, respond with courage, and think others first.
 
 
Our Flexible Futures Model offers a healthy mix of working in person and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community. Overview:

The Principal Data Scientist is a senior individual contributor responsible for defining and leading advanced analytical approaches to complex and ambiguous business problems. This role shapes modeling strategy and technical direction for high-impact analytics initiatives, primarily supporting Restaurant Development while influencing broader enterprise analytics capabilities. 
The role is responsible not only for building models but also for framing analytical problems, defining modeling approaches, and establishing reusable analytical patterns that other data scientists can build upon. The Principal Data Scientist works closely with cross‑functional partners including business stakeholders, data engineers, analysts, and product teams to translate large and complex problems into actionable insights. 
The ideal candidate combines deep expertise in statistical modeling, machine learning, and data analysis with strong problem‑solving and communication skills. This role contributes to high‑impact analytical initiatives and helps elevate analytical practices within project teams while remaining primarily focused on hands‑on modeling and technical delivery.
Responsibilities:

Responsibilities &ndash; Advanced Analytics &amp; Modeling<ul><li>
Define modeling approaches and analytical frameworks for complex or ambiguous problems where established solutions do not yet exist.</li><li>
Apply predictive modeling, forecasting, classification, clustering, and other advanced analytics techniques to large datasets.</li><li>
Explore and integrate diverse data sources including transactional, behavioral, demographic, geospatial, and operational data.</li><li>
Build and validate models using best practices for feature engineering, experimentation, and model evaluation.</li><li>
Translate analytical findings into clear insights and recommendations for business stakeholders.</li></ul> 
Responsibilities &ndash; Technical Contribution<ul><li>
Develop production‑ready analytical models and support their integration into data platforms and business workflows.</li><li>
Identify modeling risks early, including bias, data limitations, drift, and statistical assumptions that could impact model validity.</li><li>
Collaborate with data engineers and analytics teams to ensure data quality, model reliability, and scalable implementation.</li><li>
Contribute to the development of reusable analytical frameworks, code libraries, and modeling workflows.</li><li>
Support the evaluation and selection of appropriate analytical techniques and tools for specific use cases.</li><li>
Document analytical approaches, model assumptions, and results to ensure reproducibility and transparency.</li></ul> 
Responsibilities &ndash; Cross‑Functional Collaboration<ul><li>
Partner with business stakeholders to understand analytical needs and translate business questions into data science solutions.</li><li>
Communicate complex analytical results in a clear and concise manner to both technical and non‑technical audiences.</li><li>
Contribute to cross‑functional analytics initiatives and collaborate with engineering, product, and analytics teams.</li><li>
Provide guidance and knowledge sharing on modeling approaches and analytical methods within project teams.</li></ul>
Required Qualifications (Knowledge, Skills, &amp; Abilities):
<ul><li>6+ years of experience in data science, machine learning, or advanced analytics.</li><li>
Strong understanding of statistical modeling, machine learning algorithms, and predictive analytics.</li><li>
Proficiency in Python and SQL for data analysis and model development.</li><li>
Experience working with large datasets and modern data platforms.</li><li>
Strong problem‑solving, analytical thinking, and communication skills.</li></ul>
Preferred Qualifications (Knowledge, Skills, &amp; Abilities):
<ul><li>8+ years of experience in data science, machine learning, or advanced analytics.</li><li>
Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar tools.</li><li>
Experience with distributed data processing frameworks such as Spark.</li><li>
Exposure to cloud‑based analytics platforms such as AWS, Azure, or GCP.</li><li>
Experience applying advanced analytics techniques such as geospatial analysis, optimization, or network modeling.</li></ul>
Required Years of Experience: 6 Preferred Years of Experience: 8 Travel Requirements: 10% Required Level of Education: Bachelor's Degree Preferred Level of Education: Master's Degree Major/Concentration: Statistics, Computer Science, Applied Mathematics, Data Science, Engineering, or a related quantitative field. Relocation Assistance Provided: No</div>

Data Scientist - New Restaurants

Colorado Rockies

<div>
 Job Details
 
 
 
 Description
 
 
 
 Lead Data Scientist, Business Strategy &amp; Analytics
 
 
 
 About Us
 
 
 
 The Colorado Rockies Baseball Club is embracing the climb, committed to building a championship-caliber organization on the field, in the clubhouse, and throughout our business operations. Playing at altitude presents unique competitive challenges and opportunities, and we embrace innovation, collaboration, and evidence-based practices to support elite performance. Rooted in the traditions of America&rsquo;s pastime, we operate with integrity, service, quality, and trust while striving to create an exceptional experience for our players, staff, and fans.
 
 
 The Strategy &amp; Business Analytics team partners closely with leadership and functional departments to translate data into insight, insight into decisions, and decisions into measurable impact.
 
 
 
 Position Summary
 
 
 
 The Lead Data Scientist will play a foundational role in shaping and executing the Colorado Rockies&rsquo; business-focused advanced analytics and data science capability. This individual will be responsible for contributing to the organization&rsquo;s data strategy, identifying and prioritizing high-impact data science opportunities, and independently executing advanced analytical work&mdash;including predictive, prescriptive, and machine learning models.
 
 
 Reporting to the Chief Revenue &amp; Strategy Officer, the Lead Data Scientist will serve as a thought partner to leaders across the business, helping tackle complex challenges where traditional reporting is insufficient. While this role will initially have no direct reports, it is expected to play a critical role in shaping the organization&rsquo;s analytics capabilities. As the analytics needs of the business evolve, opportunities for increased scope and responsibility may emerge based on organizational needs and individual performance
 
 
 This role is best suited for a senior individual contributor who thrives on building robust, production-ready models that drive measurable business impact rather than purely exploratory analysis. It requires a combination of deep technical expertise, strong business acumen, and clear communication skills. The Lead Data Scientist must be comfortable working hands-on across the full analytics spectrum&mdash;from advanced modeling and experimentation to select foundational analysis where needed to accelerate capability development. Their input will help define the long-term vision, structure, and standards for business analytics at the Rockies.
 
 
 
 Essential Duties &amp; Responsibilities
 
 
 
 Advanced Analytics Execution
 
 
 <ul>
 <li>
 Design, develop, and deploy advanced analytical solutions &mdash; including predictive and prescriptive models &mdash; to address high-priority business questions across ticketing, marketing, pricing, fan engagement, partnerships, and operations.
 </li>
 <li>
 Apply statistical modeling, machine learning, optimization, experimentation, and forecasting techniques to improve decision quality and quantify risk, uncertainty, and upside.
 </li>
 <li>
 Translate complex analytical outputs into decision-ready insights and clear recommendations for senior leadership and non-technical stakeholders; document model assumptions and limitations to ensure appropriate application
 </li>
 <li>
 Own projects end-to-end, from problem framing and data exploration through modeling, validation, and deployment of tools &amp; insights into the business
 </li>
 <li>
 Establish monitoring metrics and standards to ensure models remain relevant as data and conditions evolve.
 
 
 </li>
 </ul>
 Operationalization &amp; Model Deployment
 
 
 <ul>
 <li>
 Develop production-ready data science solutions, including APIs, scoring pipelines, and system integrations, to embed predictive and prescriptive models directly into business workflows.
 </li>
 <li>
 Partner with IT, 601Analytics, and application owners to integrate models into CRM, pricing systems, marketing platforms, and other operational tools.
 </li>
 <li>
 Establish version control, testing, validation, and monitoring frameworks to ensure models perform reliably in production environments.
 
 
 </li>
 </ul>
 Business Partnership &amp; Project Prioritization
 
 
 <ul>
 <li>
 Partner with the Chief Revenue &amp; Strategy Officer and functional leaders to identify, scope, and prioritize data science initiatives aligned with organizational strategic priorities.
 </li>
 <li>
 Build credibility and trust with stakeholders by balancing analytical rigor with pragmatic business judgment.
 </li>
 <li>
 Work closely with Strategy and functional teammates to design and analyze experiments, test hypotheses, evaluate solution tradeoffs, and inform high-impact decisions.
 </li>
 <li>
 Collaborate with reporting and analytics partners across the organization to ensure alignment between advanced models, core metrics, dashboards, and decision
 
 
 </li>
 </ul>
 Foundational Analytics &amp; Capability Building (Initial Phase)
 
 
 <ul>
 <li>
 Maintain primary focus on advanced modeling, experimentation, and high-impact decision support while contributing selectively to foundational analysis during early capability development.
 </li>
 <li>
 Help establish best practices for documentation, reproducibility, data quality, and analytical rigor across projects.
 </li>
 <li>
 Partner to coach and develop analytics capabilities of existing teammates and to build functional leaders&rsquo; comfort leveraging data and analytics to lead their teams.
 
 
 </li>
 </ul>
 Data Strategy &amp; Analytics Vision
 
 
 <ul>
 <li>
 Contribute to the development of a long-term vision for business analytics at the Rockies, spanning advanced data science and scalable reporting and insight delivery capabilities.
 </li>
 <li>
 Partner closely with 601Analytics and internal data engineering resources to leverage a modern, scalable data warehouse environment, ensuring advanced models are built on reliable, well-governed data assets.
 </li>
 <li>
 Partner with IT and data engineering/architecture teams to ensure data science solutions are scalable, sustainable, and aligned with enterprise data strategy.
 </li>
 <li>
 Establish and adhere to documentation and file management standards to ensure tools and analyses can be efficiently maintained and evolved over time.
 </li>
 <li>
 Stay current with emerging techniques and data sources in data science, machine learning, and artificial intelligence, identifying opportunities to apply these tools aggressively yet responsibly&mdash;with appropriate governance, transparency, and risk management&mdash;to drive meaningful business impact.
 
 
 </li>
 </ul>
 Communication &amp; Leadership
 
 
 <ul>
 <li>
 Clearly communicate analytical findings through written, visual, and verbal formats tailored to technical and non-technical audiences.
 </li>
 <li>
 Exceptional problem-solving and critical-thinking skills, with the ability to connect analytical work to real business outcomes.
 </li>
 <li>
 Strong business acumen and curiosity about how organizations operate, generate revenue, and serve customers.
 </li>
 <li>
 Excellent communication skills, including the ability to explain complex concepts clearly and concisely to non-technical audiences.
 </li>
 <li>
 Proven ability to collaborate cross-functionally, manage competing priorities, and operate effectively in a fast-paced, evolving environment.
 </li>
 <li>
 Comfort working in ambiguity and helping design processes, standards, and structures where none previously existed.
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Economics, Mathematics, Computer Science, Business Analytics, or a related quantitative field required.
 </li>
 <li>
 Master&rsquo;s degree or PhD preferred.
 </li>
 <li>
 7+ years of progressive experience in data science, advanced analytics, or a related analytical role within a business, sports, media, or consumer-facing environment.
 </li>
 <li>
 Experience with sports and entertainment, specifically with ticketing and pricing, is strongly preferred.
 </li>
 <li>
 Demonstrated experience independently leading complex, ambiguous analytical projects from concept through impact.
 </li>
 <li>
 Demonstrated experience influencing leaders through data-driven insights.
 </li>
 <li>
 Demonstrated knowledge of best practices around requirements gathering, analysis design, and storytelling through data visualization.
 </li>
 <li>
 Formal people management experience is not required, but experience coaching / developing the analytics skills of others is highly valued.
 
 
 </li>
 </ul>
 Technical Skills
 
 
 <ul>
 <li>
 Strong proficiency in Python and/or R for data analysis, modeling, and automation.
 </li>
 <li>
 Deep understanding of statistical methods, machine learning algorithms, forecasting, experimentation, and optimization techniques.
 </li>
 <li>
 Experience working with SQL and Snowflake / Databricks (or similar tools) to operate in cloud-based data science environments like MS Azure; comfort manipulating large, complex datasets.
 </li>
 <li>
 Experience building and deploying machine learning models into production environments (e.g., REST APIs, batch scoring systems, containerized services, or similar deployment patterns).
 </li>
 <li>
 Familiarity with data visualization and BI tools (e.g., Tableau, Power BI) and an understanding of how advanced models integrate into dashboards and decision workflows.
 </li>
 <li>
 Experience applying generative AI, LLMs, or agent-based systems to automate analysis, enhance insight generation, or augment business workflows in a responsible and production-ready manner.
 
 
 </li>
 </ul>
 WORKING CONDITIONS / WORK SCHEDULE
 
 
 <ul>
 <li>
 Work Environment: Full-time in office role.
 </li>
 <li>
 Work Hours: Full-time hours (typically Monday-Friday 8-5) with occasional extended hours during peak business periods or critical project milestones.
 </li>
 <li>
 Travel: Minimal, though occasional travel related to league meetings, vendors, or organizational events may be required.
 
 
 </li>
 </ul>
 
 Physical Job Requirements
 
 
 
 <ul>
 <li>
 This role operates in a professional office and stadium environment. Occasional exposure to crowd noise, outdoor weather conditions, and extended hours during homestands, promotional events, or special functions may be required.
 </li>
 <li>
 Must be able to remain in a stationary position for extended periods (e.g., sitting at a desk, attending meetings).
 </li>
 <li>
 Occasionally moves about the office, stadium, and event spaces to access equipment, vendors, and staff.
 </li>
 <li>
 Frequently communicates via phone, video conference, and in person; must be able to exchange accurate information.
 </li>
 <li>
 Ability to lift up to 15 pounds occasionally (e.g., promotional materials, laptop bag).
 
 
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 
 
 <ul>
 <li>
 Annual Salary Range: $125,000 - $145,000. This is a regular-status, full-time, Non-Exempt position.
 </li>
 <li>
 As a candidate for this position, your salary and related elements of compensation will be contingent upon your work experience, education, job-related skills, and any other factors the Colorado Rockies consider relevant to the hiring decision for this position.
 </li>
 <li>
 In addition to the base salary, the Club believes in providing a very competitive and generous compensation and benefits package for its employees. Benefits include but are not limited to Medical, Dental, Vision, 401(k) with employer match, generous vacation and holiday program, employee parking, employer-provided game tickets to home games, onsite fitness classes and experiences, employee discounts on merchandise, and so much more! All benefits are subject to eligibility requirements and the terms of official plan documents, which may be modified or amended at any given time.
 
 
 </li>
 </ul>
 
 Application Process
 
 
 
 <ul>
 <li>
 Applications will be reviewed on a rolling basis but must be received by March 25th.
 </li>
 <li>
 The estimated time to complete the recruitment process will be by May 22nd.
 </li>
 <li>
 Please note this is just an estimate, and the recruiting process may be extended to removed at any time.
 </li>
 <li>
 For current Colorado Rockies employees:
 </li>
 <ul>
 <li>
 Apply via the internal job board in UKG by following these prompts: MENU &gt; MYSELF &gt; VIEW OPPORTUNITIES &gt; select the position &gt; CONSENT &gt; APPLY NOW.
 </li>
 <li>
 If you are unable to access UKG, please list your most recent Manager as an Employee Reference on your application.
 
 </li>
 </ul>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 Rockies baseball is for everyone! We pride ourselves on hiring, developing, and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants and employees will receive consideration for employment or promotion without regard to race (including, but not limited to, traits historically associated with race, such as hair texture and length and/or protective hairstyles), color, national origin, gender identity, gender expression, sexual orientation, familial status, marital status, ancestry age (40+), creed, religion, disability, veteran status, pregnancy/childbirth and related conditions, or any other category or activity protected by law. In addition, we will endeavor to provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities in compliance with the ADA. All employment and promotion decisions will be decided on the basis of qualifications, merit, and business needs.
</div>

Lead Data Scientist, Business Strategy & Analytics

Vanguard

<div><div>Analyzes data, assesses trends and develops actionable insights and recommendations in support of large strategic business initiatives. Actively develops the analytics community at Vanguard by coaching others internally and participating in external events.</div><div>
Core Responsibilities<ul><li>
Engages with internal partners to understand business strategy, questions and goals. Brings structure to business requests, translates requirements into an analytical project approach, and leads complex projects through completion. Delegates tasks and provides tactical and strategic guidance to peers. Serves as the analytics expert on cross-functional teams for large strategic initiatives.</li><li>
Acquires and compiles structured and unstructured data and verifies its quality, accuracy and reasonableness.</li><li>
Performs analyses of historical data to surface trends and insights using advanced analytical methods. Validates analytical techniques employed by other analysts.</li><li>
Prepares and delivers expert level visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement.</li><li>
Develops, owns and manages recurring analytic or reporting processes.</li><li>
Actively develops the analytics community at Vanguard by mentoring, coaching and connecting others with resources and training. Participates and presents during scheduled analytics seminars.</li><li>
Participates in special projects and performs other duties as assigned.</li></ul> 
Qualifications<ul><li>
Minimum 8 years of relevant work experience, with at least 4 years in advanced analytics, statistical modeling or business intelligence.</li><li>
Bachelor&rsquo;s degree (B.E./B.Tech) in Computer Science, IT, or a Bachelor&rsquo;s in Statistics/Mathematics.</li><li>
Expertise in SQL for data querying, performance optimization, and database management.</li><li>
Strong proficiency in Python or R for statistical analysis, automation, and machine learning model development.</li><li>
Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data lakes and big data processing tools.</li><li>
Ability to translate complex data insights into clear and actionable recommendations for business stakeholders.</li></ul>
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission&mdash;we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.</div></div>

Sr. Data Analyst

UnitedHealth Group

<div>Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. 
The Principle Event Data Analyst (AI &amp; Advanced Analytics) is responsible for leading AI driven investigation and analysis of workplace incidents and data events using a systematic, analytics first approach. This role focuses on identifying impacted data at scale through automation, machine learning, and advanced analytics, while collaborating with cross functional teams including security, legal, privacy, and engineering. 
This role plays a key part in building and evolving an AI enabled investigative data platform, leveraging modern data lake architectures, distributed processing, and production AI/ML pipelines to accelerate insight generation and decision making. 
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. 
Primary Responsibilities:<ul><li>
Lead AI assisted analysis of data events and incident investigations using structured and unstructured data</li><li>
Design and implement automated pipelines to ingest, normalize, deduplicate, enrich, and classify large scale datasets</li><li>
Apply machine learning, entity resolution, and data fingerprinting techniques to identify impacted individuals and data elements</li><li>
Build and maintain production analytics solutions using Python, PySpark, and Databricks</li><li>
Develop and deploy AI driven workflows (including Generative AI use cases) to improve investigative speed, accuracy, and scalability</li><li>
Secure, preserve, and validate data sources to maintain analytical integrity and evidentiary standards</li><li>
Partner with security, legal, and privacy teams to translate complex analytical findings into clear, actionable insights</li><li>
Create dashboards, visualizations, and analytical summaries for executive and technical stakeholders</li><li>
Operate effectively in time sensitive environments while maintaining analytical rigor, objectivity, and confidentiality</li><li>
Contribute to the evolution of Optum's AI and analytics capabilities within the cybersecurity and data protection space</li></ul> 
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:<ul><li>
Bachelor's degree or 6+ years of equivalent professional experience</li><li>
5+ years of experience in advanced data analytics, data science, or AI focused analytical roles</li><li>
5+ years of experience developing, testing, and deploying production grade Python code</li><li>
3+ years of experience with DevOps and CI/CD tooling (GitHub Actions, Docker, Kubernetes, Terraform)</li><li>
3+ years of experience with distributed data processing using PySpark and Databricks</li><li>
Solid expertise in SQL, data modeling, and data integration</li><li>
Experience working with data lake architectures and medallion schemas</li><li>
Proven ability to translate analytical outputs into business and risk based insights</li></ul> 
Preferred Qualifications:<ul><li>
Advanced degree in Data Science, Computer Science, or a related field</li><li>
Hands on experience with machine learning, predictive analytics, and classification models</li><li>
Experience delivering AI driven analytics within a cybersecurity or incident response environment</li><li>
Experience deploying Generative AI solutions into production analytics workflows</li><li>
Experience with entity resolution, MDM technologies, or identity matching</li><li>
Demonstrated familiarity with cloud platforms such as AWS, Azure, or Google Cloud</li><li>
Experience building AI models for file classification, data fingerprinting, or anomaly detection</li><li>
Demonstrated familiarity with eDiscovery platforms and large scale data investigations</li><li>
Proven solid understanding of modern analytics platforms and scalable data architectures</li></ul><ul><li> 
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.</li></ul> 
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. 
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. 
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.</div>

Principal AI Data Analyst - Remote or Hybrid from MN or DC

Deloitte

<div>Our Deloitte Strategy &amp; Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, government operations modernization, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&amp;A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions. 
 
Work You'll Do
 
 
<ul><li>Work on complex datasets; apply statistical and data mining techniques for data exploration and preparation.</li></ul> 
<ul><li>Perform data quality analysis, build models, and perform ground-truth comparisons to validate assumptions and outputs.</li></ul> 
<ul><li>Use data visualization to understand distributions and patterns and communicate findings to project leads and stakeholders.</li></ul> 
<ul><li>Write efficient, scalable, near production-ready code over large datasets.</li></ul> 
<ul><li>Maintain strong code documentation practices to enable collaboration and future development.</li></ul> 
<ul><li>Partner with product managers, engineers, and stakeholders to translate business needs into data-driven solutions.</li></ul> 
<ul><li>Contribute to the team's success through proactive execution, collaboration, and continuous improvement.</li></ul> 

The Team
 
 
Deloitte's Government &amp; Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. 
 
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation. 
 
The Prism Products portfolio is a group of AI-powered population insight solutions, including HealthPrism, PeoplePrism, Candidate360, and GivePrism, that enable cross-sector clients to better understand and tailor services to the populations they serve. 
 
Qualifications
 
 
Required:
 
<ul><li>Bachelor's Degree or higher in Engineering, Computer Science, Statistics, Mathematics, or related quantitative field
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
</li><li>Strong programming skills in Python (e.g., NumPy, Pandas, scikit-learn, Matplotlib, Seaborn, Plotly) and SQL for analysis, wrangling, and database work.
</li><li>2+ years' of advanced analytics and data wrangling.
</li></ul> 
Preferred: 
<ul>
<li>Strong fundamentals in statistical and ML algorithms.
</li><li>Familiarity with ML model deployment in a cloud environment.
</li><li>Hands-on experience with prompt engineering and LLM applications such as RAG. 
Experience working in Google Cloud Platform
</li>Strong problem-solving skills with emphasis on product development. 
<li>
</li></ul> 
 
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html</div>

Junior Data Scientist - Government & Public Services

Ghirardelli Chocolate

<div>Established in San Francisco since 1852, Ghirardelli has spent generations perfecting the craft of premium chocolate. From responsible sourcing to time-honored roasting and processing techniques, we honor the tradition of our iconic brand as we innovate and grow the business. We are fueled by a spirit of entrepreneurship and innovation, and that same passion shapes our workplace, where people are genuinely welcomed, supported, and encouraged to grow. If you're excited to join our welcoming and vibrant team that celebrates creativity, collaboration, and delicious possibilities, you'll feel right at home with us.

The Quality Analytics Specialist develops and maintains advanced analytical processes that support internal quality excellence in manufacturing. This role uses data‑driven methodologies to optimize performance, compliance, and quality standards while collaborating with cross‑functional teams to deliver actionable insights that guide facility decisions. The position leads analytical program implementation, applying data mining and statistical techniques to align data strategies with site objectives. It enhances integration across Operations, Maintenance, and Engineering through data visualization, reporting, and communication. The Specialist also drives continuous improvement by analyzing trends, maintaining quality documentation, and ensuring the integrity of all internal analytics.
Requirements:
<ul><li>Apply Lean Six Sigma principles to analyze data, identify quality improvement opportunities, and support excellence in manufacturing operations.
</li><li>Lead data‑driven root cause analyses for quality incidents and non‑compliance issues across internal teams.
</li><li>Develop, maintain, and enhance systems that track, analyze, and report key quality indicators.
</li><li>Oversee advanced analytical methods, tools, and resources to support effective decision‑making.
</li><li>Conduct ongoing trend analyses to identify emerging patterns and proactively address potential quality risks.
</li><li>Facilitate effective communication with internal and external partners to ensure timely issue resolution and drive actionable improvement plans.
</li><li>Develop and improve documentation to ensure clarity, accuracy, and compliance with analytical and quality standards.</li>
<li>Analyze, verify, and document quality data to ensure alignment with internal, customer, and regulatory requirements.
</li><li>Monitor and maintain the integrity of internal data systems and reporting tools to meet operational and certification requirements.</li>
<li>Collaborate with cross‑functional teams to generate accurate product specifications, respond to customer requests and complaints, and support overall quality objectives.</li>
<li>Perform other duties as assigned.</li>
</ul>
 
Compensation: $74,799 - $97,249</div>

Quality Analytics Specialist

<div>Line of Service
Advisory
Industry/Sector
Technology
Specialism
Advisory - Other
Management Level
Senior Associate
Job Description &amp; Summary
Job Description
 
We are seeking a highly skilled Insights Reporting Specialist to support the creation of high-quality reporting outputs for large-scale research and analytics projects. The role requires advanced Excel capability, strong data literacy, and the ability to translate complex datasets into clear, impactful reporting dashboards and narrative insights.
 
 
This position suits someone who is analytical, detail-oriented, and passionate about creating efficient and automated reporting processes using Excel, AI tools, and other data manipulation methods.
 
 
The Insights Reporting Specialist will play a critical role in delivering accurate, engaging reporting outputs that help clients and internal teams understand complex data quickly and effectively. This role is central to driving efficiency and insights through advanced Excel work, automation, and strong storytelling.
Key Responsibilities
Reporting Production &amp; Data Handling
<ul><li>Build and maintain complex Excel-based reporting tools and dashboards using advanced formulas, structured references, and dynamic layouts.
</li></ul><ul><li>Perform robust data manipulation using Excel and other tools to prepare, clean, join, and restructure datasets.
</li></ul><ul><li>Conduct two-dimensional lookups , advanced sorts, filters, data merges, and transformative operations to consolidate inputs from multiple sources.
</li></ul><ul><li>Design and produce high-quality Excel charts, visualisations, and dashboards to meet client and internal reporting needs.
</li></ul>Data Literacy &amp; Analysis
<ul><li>Demonstrate strong data literacy , understanding data fundamentals, structures, joins, and quality considerations.
</li></ul><ul><li>Carry out general data analysis such as descriptive analysis, trends, comparisons, and exceptions.
</li></ul><ul><li>Interpret data patterns and work with analysts to integrate context and explain results clearly.
</li></ul>QA &amp; Process Excellence
<ul><li>Conduct thorough quality assurance (QA) checks across all reporting outputs to ensure accuracy and consistency.
</li></ul><ul><li>Maintain strong version control and documentation of reporting processes.
</li></ul><ul><li>Identify opportunities to improve efficiency through AI, automation, and advanced Excel techniques , contributing to continuous process improvement.
</li></ul>Communication &amp; Storytelling
<ul><li>Translate complex data findings into clear, concise narratives appropriate for business stakeholders.
</li></ul><ul><li>Present data in a structured, story-led format that highlights key insights and implications.
</li></ul><ul><li>Collaborate with analysts, project managers, and delivery teams to understand reporting requirements and ensure outputs meet expectations.
</li></ul>Required Skills &amp; Experience
Technical Skills
<ul><li>Advanced Excel expertise , including:
</li></ul><ul><li>Nested formulas, LET/LAMBDA functions, dynamic arrays, two-way lookups
</li></ul><ul><li>INDEX/MATCH/XLOOKUP
</li></ul><ul><li>Sorting, filtering, conditional logic, text manipulation
</li></ul><ul><li>Pivot tables and pivot charts
</li></ul><ul><li>Advanced Excel charting and dashboard techniques
</li></ul><ul><li>Design and produce high-quality Excel charts, visualisations, and dashboards to meet client and internal reporting needs, this includes complex manipulation of charts in order to support chart customisation features.
</li></ul><ul><li>Strong data manipulation skills and comfort working with structured datasets from multiple sources.
</li></ul><ul><li>Demonstrated data literacy , including understanding of data types, structures, metadata, and common data issues.
</li></ul><ul><li>Experience producing well-structured, scalable reporting outputs for recurring delivery cycles.
</li></ul><ul><li>Proven experience using AI tools (e.g., ChatGPT, Copilot, AI Excel tools) to build efficiencies, generate formulas, enhance QA, or automate tasks.
</li></ul>Professional Skills
<ul><li>Strong analytical thinking and problem-solving skills.
</li></ul><ul><li>Excellent written and verbal communication skills, with the ability to translate data into meaningful insights.
</li></ul><ul><li>High attention to detail and commitment to accuracy.
</li></ul><ul><li>Ability to manage multiple tasks and deliver high-quality outputs under tight timelines.
</li></ul><ul><li>A proactive mindset with a drive for innovation, automation, and process standardisation.
</li></ul>Desirable Experience
<ul><li>Experience with basic scripting or automation tools (e.g., Alteryx, or VBA).
</li></ul><ul><li>Experience in research, analytics, or reporting-focused delivery environments.
</li></ul><ul><li>Understanding of data visualisation best practices and principles.
</li></ul>Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date</div>

ETIC, Insights Reporting, Senior Associate

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