data science lead

International

<div>Position Overview:
<div>
The <b>AI and Data Science Lead</b> will be responsible for helping drive, enhance, and scaling the AI program at International. This role will lead the organization&rsquo;s AI and Data Science function, working closely with business partners to identify and evaluate new opportunities, develop scalable solutions, and strengthen enterprise AI/ML and data science capabilities.</div><div><br>
This leader will oversee a growing team of AI/ML developers and data scientists and will play a key role in shaping the strategic direction of AI across the organization. The position will focus equally on <b>building and scaling the data science practice and leading a high-performing team</b>, partnering with adjacent functions such as data engineering, insights and BI, data governance, and data/enterprise architecture to deliver impactful, data-driven solutions.</div><div><br>
As International continues to develop its <b>AI Center of Excellence</b>, this role offers the opportunity to help define and advance the organization&rsquo;s AI strategy and capabilities.</div>
Responsibilities:
<ul><li>Lead and evolve the organization&rsquo;s <b>Data Science AI/ML function</b>, including strategy, execution, and team development.</li><li>
Contribute to building International&rsquo;s <b>AI Center of Excellence</b>, helping define the roadmap and long-term capability strategy.</li><li>
Manage and mentor a small team of AI/ML developers and data scientists with plans to grow the function over time.</li><li>
Establish best practices, governance, and standards for <b>AI development and deployment</b> across the organization.</li><li>
Partner with business leaders to identify, evaluate, and prioritize new opportunities that deliver measurable business value.</li><li><b>
Design and implement scalable AI and machine learning solutions</b> that support enterprise initiatives.</li><li>
Improve and operationalize intake and evaluation process to ensure the right projects are prioritized and executed.</li><li>
Collaborate with cross-functional business teams including</li><li>
Production and Logistics, Research and Development, IT,</li><li>
Finance, Procurement, HR, etc. to deliver cross-functional solutions.</li><li>
Translate complex analytical insights into clear executive-level messaging and recommendations.</li></ul>
Minimum Requirements:
<ul><li>Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and at least 11 years of analytics, data quality or statistical analysis experience</li><li>
At least 2 years of lead experience</li></ul><div>
OR</div><ul><li>
Master's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and at least 9 years of analytics, data quality or statistical analysis experience</li><li>
At least 2 years of lead experience</li></ul><div>
OR</div><ul><li>
PhD in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and at least 7 years of analytics, data quality or statistical analysis experience</li><li>
At least 2 years of lead experience</li></ul>
Additional Requirements:
<ul><li>Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)</li></ul>
Desired Skills:
<ul><li>Advanced degree (Master&rsquo;s or PhD) in <b>Computer Science, Data Science, Machine Learning, Statistics, Engineering, Economics, or a related quantitative field</b>.</li><li>
Experience in data science, machine learning, or AI, including experience leading and scaling teams or practices.</li><li>
Demonstrated success <b>building, leading, and advancing enterprise data science or AI/ML capabilities</b>.</li><li>
Strong experience and familiarity with modern AI, data science, machine learning tooling.</li><li>
Demonstrated experience understanding and helping <b>shape technology and architecture</b> selection to advance organizational AI.</li><li>
Experience developing and <b>executing AI/ML strategy within complex organizations</b>.</li></ul>
Benefits and Compensation:
<p>
This position offers competitive market-based compensation, along with a comprehensive benefits package designed to support employee wellbeing. You can learn more about the benefits offered for this position by visiting https://careers.international.com/#benefits.<br>
<br>
The expected salary offered for this position will fall within the stated range, with the final offer based on the candidates' applicable skills, knowledge, and experience.</p>
Company Overview:
<div><b>ABOUT</b><b> </b><b>TRATON</b></div><div>
With its brands Scania, MAN, International, and Volkswagen Truck &amp; Bus, TRATON SE is the parent and holding company of the TRATON GROUP and one of the world&rsquo;s leading commercial vehicle manufacturers. The Group&rsquo;s product portfolio comprises trucks, buses, and light-duty commercial vehicles. &ldquo;Transforming Transportation Together. For a sustainable world.&rdquo;: this intention underlines the Company&rsquo;s ambition to have a lasting and sustainable impact on the commercial vehicle business and on the Group&rsquo;s commercial growth.</div><div></div><div><b><br>
ABOUT INTERNATIONAL</b><br>
From a one-man company built on the world-changing invention of the McCormick reaper in 1831, to the 15,000-person-strong company we are today, few companies can lay claim to a history like International. Based in Lisle, Illinois, International Motors, LLC* creates solutions that deliver greater uptime and productivity to our customers throughout the full operation of our commercial vehicles. We build International&reg; trucks and engines and IC Bus&reg; school and commercial buses that are as tough and as smart as the people who drive them. We also develop Fleetrite&reg; aftermarket parts. In everything we do, our vision is to accelerate the impact of sustainable mobility to create the cleaner, safer world we all deserve. As of 2021, we joined Scania, MAN and Volkswagen Truck &amp; Bus in TRATON GROUP, a global champion of the truck and transport services industry. To learn more, visit www.International.com.</div><div></div><ul><li><br>
International Motors, LLC is d/b/a International Motors USA in Illinois, Missouri, New Jersey, Ohio, Texas, and Utah.</li></ul>
EEO Statement:
<div>
We are an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.</div><div><br>
If you are a qualified individual with a disability and require a reasonable accommodation to access the online application system or participate in the interview process due to your disability, please email HUB@International.com to request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered.</div>
Job Posting: #LI-Onsite, #LI-POST</div>

AI and Data Science Lead

Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
Mailchimp is a core pillar of Intuit&rsquo;s SMB Ecosystem, enabling millions of small and mid-sized businesses to grow through marketing automation and customer intelligence. As we accelerate toward becoming an AI-driven platform, Product Data Science must evolve to operate at a new level of technical sophistication, scale, and strategic influence.</p><p>
We are seeking a Principal Data Science Leader to partner with the leadership team and lead the AI transformation of the Mailchimp Product Data Science organization. This leader will modernize how data science is practiced by advancing modeling capabilities, experimentation rigor, generative AI adoption, and scalable decision systems while driving measurable revenue and growth outcomes.</p><p>
This role requires a proven track record of building durable data science capabilities and production-grade solutions, not just delivering analyses. The ideal candidate will elevate the craft across the organization, establish higher technical standards, and position data science as a strategic force multiplier for product and growth.</p><p><b><br>
Responsibilities</b></p><h2 class="jobSectionHeader"><b>
Strategic Leadership &amp; Vision</b></h2>
Define and lead the multi-year vision for Mailchimp Product Data Science, aligning AI, modeling, and experimentation investments with product strategy and measurable business outcomes.<br>
<ul><li>
</li><li>
Partner with Data Science leadership to transform the function into an AI-native organization by modernizing tools, workflows, technical standards, and scalable decision systems.</li></ul><h2 class="jobSectionHeader"><b>
Outcome-Driven Product Impact</b></h2>
Own revenue and growth accountability for data science&ndash;driven initiatives, ensuring modeling, experimentation, and AI investments are directly tied to measurable business outcomes and prioritized for maximum impact.<br>
<ul><li>
</li>
Lead the rapid development and deployment of predictive models, causal inference frameworks, and LLM-enabled solutions, leveraging modern AI tools to accelerate learning velocity and reduce time from insight to decision.<br>
<li>
</li><li>
Drive a high-speed experimentation culture, balancing rigor with agility, so teams continuously test, learn, and iterate, translating insights into scalable impact with clear post-launch accountability.</li></ul><p><b>
Capability Building &amp; Craft Elevation</b></p>
Champion and scale durable Product Data Science capabilities by establishing rigorous standards across modeling, experimentation, model governance, and AI-enabled workflows while raising the technical bar through structured reviews, reusable frameworks, and clear quality benchmarks.<br>
<ul><li>
</li>
Accelerate adoption of modern AI tools, LLMs, and automation to increase productivity, technical depth, and organizational leverage across the Data Science team.<br>
<li>
</li><li>
Mentor, develop, and retain top data science talent by fostering a culture of ownership, technical excellence, and continuous learning.</li></ul><p><b><br>
Qualifications</b></p><ul><li><p><br>
10+ years of experience in Product Data Science with a demonstrated track record of personally building, shipping, and scaling high-impact models and experimentation frameworks that drove measurable revenue and growth outcomes.</p></li><li><div><br>
Proven experience transforming data science practices, establishing modeling standards, experimentation rigor, reusable frameworks, and AI-native workflows across teams.</div></li><li><div><br>
Deep technical expertise in SQL and Python, with strong command of statistical modeling, causal inference, experimentation design, and machine learning at production scale.</div></li><li><div><br>
Hands-on experience applying LLMs and modern AI tooling to accelerate insight generation, modeling workflows, and decision velocity.</div></li><li><div><br>
Demonstrated ability to influence senior cross-functional leaders and drive strategic outcomes without direct authority.</div></li><li><p><br>
Strong mentorship track record, with evidence of elevating senior data scientists and raising the technical bar of an organization.</p></li></ul><p></p><h2 class="jobSectionHeader"><b><br>
Preferred Qualifications</b></h2><p></p><ul><li><p><br>
Master&rsquo;s degree or higher in Statistics, Computer Science, Economics, Applied Mathematics, Machine Learning, or a related quantitative field.</p></li><li><div><br>
Deep understanding of growth science, customer lifecycle value, segmentation, and personalization at scale.</div></li><li><div><br>
Experience productionizing AI-driven decision systems in complex product ecosystems.</div></li><li><p><br>
Familiarity with multi-product ecosystems and cross-sell and attach strategies within platform businesses.</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:</p><div>
Bay Area California $ 240,000- 324,500</div></div><p></p>

Principal Data Scientist – Mailchimp Product

Boehringer Ingelheim

<div></div><div><div><div><div><p>Supports the U.S. Medical Affairs by shaping evidence strategies that drive successful product launch and clinical adoption by providing strategic planning and execution, including data transformation and all aspects of descriptive, diagnostic, predictive and prescriptive analytics of data related to clinical projects like actual trial data, registries and real-world data bases. In particular this includes the provision of analytics tools, outputs and inference as necessary for the specific use case. May act as a BDS product owner up to Therapeutic Area/asset level. Represent BDS at a substance/asset level regarding data science related aspects.<br>
</p><p></p><p>As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Duties &amp; Responsibilities
</b></h2></div><div><ul><li>Subject Matter Expert (SME) / Process Lead for designing as well as transforming, analyzing and reporting complex phase I-IV clinical trials that represent new challenges and for which project and therapeutic knowledge is not given, such as mega trials or new indications and for complex international R&amp;D projects.
</li><li>Subject Matter Expert (SME) / Process Lead for designing as well as transforming, analyzing and reporting of other data that represent new challenges from research and development like registries and real-world data bases.
</li><li>Identify trends in data science within and outside BI. Initiate and Turn derived insights into new data science approaches relevant for clinical development, registration, and marketing of drugs.
</li><li>Present compelling validated stories regarding complex data science aspects to BDS colleagues, other professionals within and outside of BI and laymen.
</li><li>Ensure data transformation and analysis specifications to ensure completeness, correctness and adherence to department guidelines and SOPs as well as to applicable GxP requirements.
</li><li>Lead/Guide other colleagues, internal and external customer and external providers on data science related tasks.
</li><li>Lead cross-functional BI internal working-groups and drive/plan relevant data science aspects. Participate in external working groups.
</li><li>If applicable, supports the clinical drug development process as a BDS Product Owner up to the level of Therapeutic Area/assets.
</li><li>Facilitates and ensures cross-functional and team-based working within BDS and with the restof the company. Fulfils tasks of other functions as needed and possible. Contributes to cross-functional- and team-based thinking.
</li><li>Fosters innovative digital approaches to produce sophisticated, intelligent optimization solutions, innovative processes and predictive models.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Requirements
</b></h2></div><div><ul><li>Bachelor of Science (BSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with a minimum of ten (10) years of data science experience; Or
</li><li>Master of Science (MSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with ten (10) years of experience within the pharmaceutical industry, CROs, regulatory authorities or academic institutions; Or
</li><li>Doctoral Degree (PhD) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with six (6) years of experience within the pharmaceutical industry, CROs, regulatory authorities or academic institutions.
</li><li>Working experience might be partially compensated by broad and deep topic-specific knowledge.
</li><li>Comprehensive knowledge and advanced experience in software languages relevant for business needs.
</li><li>Comprehensive knowledge and advanced experience in understanding of clinical trial development process required.
</li><li>Broad knowledge and advanced project lead experience required.
</li><li>Experience in agile project methods.
</li><li>Understanding and applying key of principles of data science.
</li><li>Demonstrated comprehensive knowledge in planning, transforming, analyzing, interpreting, and reporting data in complex situations that represent new challenges and for which project and therapeutic knowledge is not given.
</li><li>Excellent knowledge of statistical methodology, design of clinical trials or clinical experiments, basic medical terminology and on processing clinical trial information.
</li><li>Advanced understanding of cutting-edge statistical concepts related to Data Science.
</li><li>Comprehensive working knowledge of broad variety of aspects of relevant software languages.
</li><li>Mindful of local, global, internal and external cultures to ensure that messages are received positively and effectively.
</li><li>Ability to lead and facilitate meetings.
</li><li>Ability to develop and deliver training related to data science topics.
</li><li>Evidence of strong teamwork, also in global and remote context.
</li><li>Good interpersonal skills with the ability to interact effectively with people, internally and externally (e.g. CROs, experts, management).
</li><li>Ability to pro-actively identify issues and solutions and to interact with internal and external bodies on routine data science issues.
</li><li>Language skills: English: fluent (Read/Write/Speak).
</li><li>Know, understand, and implement:
<ul><li>International regulations and guidelines for good clinical and statistical practice from all ICH regions,
</li><li>The various international guidelines on clinical development, including statistical methodology, for TA-related disease areas, and
</li><li>BI processes and SOPs that govern clinical development in particular with respect to strategic areas (e.g. Clinical Development Plan).
</li></ul></li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Compensation</b></h2></div></div></div></div><p></p>

Sr. AD, Senior Principal Clinical Data Science

Vanguard

<div><div>This role leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making, while mentoring junior data scientists and analysts, and applying advanced data science and big data mining techniques to uncover trends, inform strategic initiatives, and drive innovation across diverse business functions.</div><div><p><b>
Responsibilities</b></p><ul><li><p>
Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.</p></li><li><p>
Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.</p></li><li><p>
Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.</p></li><li><p>
Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.</p></li><li><p>
Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.</p></li><li><p>
Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.</p></li><li><p>
Participates in special projects and performs other duties as assigned.</p></li><li><p>
Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets.</p></li><li><p>
Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations.</p></li><li><p>
Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory.</p></li></ul><p><b><br>
Qualifications and Skills</b></p><ul><li><p>
Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles</p></li><li><p>
Bachelor&rsquo;s degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master&rsquo;s degree/Diploma in a related quantitative field</p></li><li><p>
Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI.</p></li></ul><p><b>
Special Factors</b></p><p><b>
Sponsorship</b></p>
Vanguard is offering visa sponsorship for this position.<p></p><p><b>
About Vanguard</b></p><p>
At Vanguard, we don't just have a mission&mdash;we're on a mission.</p><p></p><p>
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.</p><p></p><p><b>
How We Work</b></p><p>
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.</p></div></div>

AI/ML Data Scientist

Huntington Bank

<div><h1 class="jobSectionHeader"><b>Description</b></h1><div><b>
Summary:
</b></div><div><div><div><div><p>The Lead Data Scientist contributes to building and developing the organization&rsquo;s data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes.</p><p></p><p><b>
Duties and Responsibilities:
</b></p><ul><li>Performs advanced analytics methods to extract value from business data.</li><li>
Performs large-scale experimentation and build data-driven models to answer business questions.</li><li>
Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.</li><li>
Determines requirements that will be used to train and evolve deep learning models and algorithms.</li><li>
Articulates a vision and roadmap for the exploitation of data as a valued corporate asset.</li><li>
Influences product teams through presentation of data-based recommendations.</li><li>
Evangelizes best practices to analytics and products teams.</li><li>
Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.</li><li>
Performs other duties as assigned.</li></ul><p></p><p><b>
Basic Qualifications:
</b></p><ul><li>Master&rsquo;s degree in computer science, statistics, economics or related field</li><li>
5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, including experience with big data analysis tools and techniques, and building and deploying predictive models, web scraping, and scalable data pipelines.</li></ul><p></p><p><b>
Preferred Qualifications:
</b></p></div></div></div></div><ul><li>PhD in computer science, statistics, economics or related fields</li><li>
Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling</li><li>
Strong experience with R, RSTudio, Python, SAS, SQL, NoSL</li><li>
Up-to-date knowledge of machine learning and data analytics tools and techniques</li><li>
Strong knowledge in predictive modeling methodology</li><li>
Experienced at leveraging both structured and unstructured data sources</li><li>
Willingness and ability to learn new technologies on the job</li><li>
Demonstrated ability to communicate complex results to technical and non-technical audiences</li><li>
Strategic, intellectually curious thinker with focus on outcomes</li><li>
Professional image with the ability to form relationships across functions</li><li>
Ability to train more junior analysts regarding day-to-day activities, as necessary</li><li>
Proven ability to lead cross-functional teams</li><li>
Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)</li><li>
Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)</li><li>
Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL)</li><li>
Financial Services background</li></ul><p></p><h3 class="jobSectionHeader"><b>
#LI-NG1</b></h3><h3 class="jobSectionHeader"><b>
#LI-Onsite<br>
</b></h3><p><br>
<b>Exempt Status: (Yes</b> = not eligible for overtime pay) (<b>No</b> = eligible for overtime pay)</p>
Yes<p></p><p><b>
Workplace Type:</b></p>
Office<p></p><p>
Our Approach to <b>Office </b>Workplace Type</p><p></p><p>
Certain positions outside our branch network may be eligible for a flexible work arrangement. We&rsquo;re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.</p><p></p><p>
Huntington is an Equal Opportunity Employer.</p><p></p><p>
Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.</p><p></p><p><b>
Note to Agency Recruiters: </b>Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.</p></div>

GenAI Lead Data Scientist

Skywalk Global

<div><p>Job Summary</p><div><p>
The Mississippi Department of Child Protective Services seeks a senior data scientist to support a proof-of-concept</p><p>
demonstration using natural language processing and other machine learning methods to improve the intake process.</p><p>
This work is critical to demonstrate the potential of the latest technology to improve the lives of children at risk.</p><p>
The Senior Data Scientist will be responsible for overseeing and supporting the development, implementation, and</p><p>
testing of statistical models, integration of NLP, and refinement and testing of the prototype. In addition, algorithmic</p><p>
trade-offs will be evaluated, and guidance provided to ensure the State&rsquo;s objectives are satisfied. The Senior Data</p><p>
Scientist will work closely with State stakeholders and technical team members to ensure the quality of the results and</p><p>
that the derived methods are transparent, statistically sound, relevant, and documented.</p><p>
Key Responsibilities</p><ul><li>Create a Development Framework</li></ul><p>
o Establish a framework for the execution of technical tasks within the proof-of-concept. The framework will</p><p>
consist of task breakouts, milestones, and deliverables</p><p>
o Identify critical milestones related to information, receipt of data, testing, and delivery.</p><p>
o Identify key risk factors and means of mitigation.</p><ul><li>Current Processes &amp; Technology</li></ul><p>
o Participate in critical discussions involving current intake workflows, how decisions are made based on</p><p>
information from the intake process, and the allocation of State labor.</p><p>
2</p><p>
o Contribute to the identification of intake process shortcomings and prioritize based on their impact on children</p><p>
and State resources.</p><ul><li>Devise New Intake Approach Using New Technologies</li></ul><p>
o Lead the development of a new intake process that leverages natural language processing and other machine</p><p>
learning algorithms.</p><p>
o Identify the functional blocks and reconcile their contributions to solving the prioritized shortcomings.</p><p>
o Evaluate architectural and computational implementation trade-offs for each functional block. The evaluation</p><p>
should consider risk from the standpoints of technical, schedule, and security.</p><p>
o Evaluate trade-offs of using different data sources, including existing systems, sample data, simulated data, or</p><p>
other alternatives.</p><p>
o Document the final approach for transparency.</p><ul><li>Design Review(s)</li></ul><p>
o Create the framework for the design review process.</p><p>
o Lead the design review and evaluate</p><p>
 The functional design with respect to resolving prioritized intake process shortcomings, and the impact on</p><p>
children and State resources.</p><p>
 Technical, schedule, data security, and other risk factors.</p><p>
 Source of data and its usefulness in demonstrating the efficacy of the approach.</p><p>
 Proposed methods of test and demonstration.</p><p>
o Documentation of the process for transparency.</p><ul><li>Implementation of Proof-of-Concept</li></ul><p>
o Oversee the implementation of the prototype by conducting weekly status updates and, when appropriate, gate</p><p>
reviews.</p><p>
o Provide guidance when needed to mitigate risk and remove technical or administrative roadblocks.</p><ul><li>Conference Room Demonstration</li></ul><p>
o During the course of 3-4 days, provide conference room support to demonstrate that shows how the prototype</p><p>
application can improve child outcomes and reduce State resources.</p><p>
o Capture key stakeholder comments regarding technical aspects of the application.</p><ul><li>Roadmap</li></ul><p>
o Contribute to the development of a roadmap that illustrates how the developed technology could be integrated</p><p>
into the State&rsquo;s ecosystem of technologies and processes.</p><ul><li>Agile Development Process</li></ul><p>
o Contribute to the Agile development process to ensure the success of the project.</p><ul><li>Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. in computer science, mathematics, engineering, physics, or related field.</li><li>Have participated in US Federal Gov&rsquo;t data science programs requiring TS/SCI clearance, delivering solutions</li></ul><p>
requiring the combination of geospatial disciplines and pattern of life, and Social network connections.</p><ul><li>Data engineering expertise, with demonstrable experience custom building programs processing in excess of</li></ul><p>
700 Million records in less than :30min, on a highly frequent, reoccurring basis.</p><ul><li>Proven expertise working with CCWIS data attributes to predict child welfare outcomes, including but not</li></ul><p>
limited data attribute selection, data clean up and statistical tuning.</p><ul><li>Extensive knowledge of statistical algorithms, machine learning, and adaptive systems.</li></ul><p>
Prior history of designing and building machine learning algorithms from the ground up.</p><ul><li>Experience with making technical trade-offs between algorithmic approaches. based on collective errors,</li></ul><p>
computational time, scalability, and outcomes.</p><ul><li>Prior success in developing optimal non-rule-based decision-making systems where the inputs are stochastic.</li><li>Successful history of converting social processes and human decision-making into computational models that</li></ul><p>
yield improved results</p></div></div><p></p>

Data Scientist

Walmart

<div><h2 class="jobSectionHeader"><b>Position Summary...</b></h2><p></p><h2 class="jobSectionHeader"><b>
What you'll do...</b></h2><b>
Role summary:</b><br>
As a Principal Data Scientist at Walmart, you will lead the development and deployment of advanced analytical models Leveraging sophisticated techniques such as Double Machine Learning and Causal Modeling, you will generate robust, data-driven insights that inform strategic decision-making and drive measurable impact. You will collaborate across functions to translate business needs into innovative strategies, mentor team members, and ensure the quality and impact of data insights. Your work will directly influence decision-making and operational efficiency, supporting Walmart&rsquo;s commitment to excellence and continuous improvement through cutting-edge data science practices.<br>
 <b>About the team:</b><br>
The Sandman/Ad-tech team consists of experienced Machine Learning Engineers, Data Scientists, and Full Stack technologists focused on delivering scalable, data-driven solutions for Walmart. This multidisciplinary group integrates expertise in AI, software engineering, and data science to develop autonomous AI agents, deploy reliable applications, and build core engineering capabilities at enterprise scale. Utilizing data, AI, and agile methods, the team drives innovation that enhances operational efficiency and supports Walmart&rsquo;s mission. Collaboration within the team fosters the creation of intelligent systems that improve business performance across the organization.<br>
 <b>What you'll do:</b> Develop, test, and deploy advanced data science solutions using programming languages such as Python and SQL to address complex business challenges. Analyze business problems to identify root causes and recommend data-driven approaches aligned with strategic objectives. Identify, source, and validate high-quality data from multiple systems to support analytical modeling and insights generation. Lead the design and implementation of machine learning models, including feature engineering, model tuning, and validation to ensure accuracy and robustness. Collaborate with stakeholders to translate business requirements into actionable data strategies and visualization frameworks. Mentor team members on advanced analytical techniques and promote continuous learning and innovation. <b>What you'll bring:</b> Extensive experience in machine learning algorithms, deep learning, and statistical analysis to develop advanced data models. Proficiency in programming languages including Python, SQL, and Java for code development and testing. Advanced capability in feature engineering, predictive scoring model development, causal modeling, forecasting, and scenario modeling to support prioritization, and Sales life-stage execution plans. Ability to translate complex business requirements into actionable data science strategies aligned with organizational goals. Experience deploying scalable models and maintaining model lifecycle management in production environments. Proven leadership skills to mentor teams and drive continuous improvement in data science practices.
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At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
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For information about benefits and eligibility, see One.Walmart.
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Hoboken, New Jersey US-10649: The annual salary range for this position is $132,000.00 - $264,000.00
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Sunnyvale, California US-11789: The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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Minimum Qualifications...</b></h2><p><i>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
</i></p><p></p>Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field<p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications...</b></h2><p><i>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.</i></p><p></p>
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s accessibility standards and guidelines for supporting an inclusive culture.<p></p><h2 class="jobSectionHeader"><b>
Primary Location...</b></h2><p></p>
121 River St, Hoboken, NJ 07030-5989, United States of America<p></p>
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.</div>

(USA) Principal, Data Scientist

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