senior data scientist

Stott and May

<div>
 
 Senior Data Scientist
 
 
 
 Manufacturing | Azure, Databricks &amp; Microsoft Fabric
 
 
 
 
 
 
 Our manufacturing client is looking for a
 
 Senior Data Scientist
 
 to help build data-driven solutions that improve operations and support business decision-making. You'll work with cross-functional teams to develop predictive models, analyze manufacturing data, and deliver insights using a modern Microsoft technology stack.
 
 
 
 
 
 Responsibilities
 
 <ul>
 <li>
 Develop machine learning models and analytical solutions to solve business problems.
 </li>
 <li>
 Analyze manufacturing, operational, and supply chain data to identify trends and opportunities.
 </li>
 <li>
 Build predictive models for forecasting, optimization, and operational reporting.
 </li>
 <li>
 Work with business stakeholders to understand requirements and translate them into data science solutions.
 </li>
 <li>
 Collaborate with Data Engineers to prepare and transform data for modeling.
 </li>
 <li>
 Present findings and recommendations to technical and non-technical audiences.
 </li>
 <li>
 Support the deployment and ongoing improvement of machine learning models.
 </li>
 </ul>
 
 
 
 
 Required Skills
 
 <ul>
 <li>
 5+ years of experience as a Data Scientist.
 </li>
 <li>
 Strong Python and SQL skills.
 </li>
 <li>
 Experience building and deploying machine learning models.
 </li>
 <li>
 Hands-on experience with
 
 Azure Databricks
 
 .
 </li>
 <li>
 Experience with
 
 Microsoft Fabric
 
 or other Microsoft analytics tools.
 </li>
 <li>
 Experience working with Azure cloud services.
 </li>
 <li>
 Strong understanding of statistics, predictive modeling, and data analysis.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 </ul>
 
 
 
 
 
 Fully Remote
 
 
 
 
 12-month contract with possible extension
 
 
 
 
 40hr/week
 
 
 
 
 95-125/hourly W2 or LLC
 
 
 
 (There are
 
 no
 
 C2C options for this role)
 
 
 
 
</div>

Senior Data Scientist

Immersion Consulting, LLC

<div>Description:

The Senior Data Scientist provides advanced analytics, machine learning, and investigative data support. Working closely with criminal investigators, auditors, and technical stakeholders, this position develops and maintains predictive models, fraud detection methodologies, natural language processing (NLP) solutions, and analytical products designed to identify financial fraud, improper payments, and program noncompliance. The Senior Data Scientist transforms complex datasets into actionable intelligence by applying statistical, machine learning, and data visualization techniques.<ul><li>
Design, develop, test, calibrate, and deploy advanced machine learning and predictive analytics models.</li><li>
Develop and maintain supervised and unsupervised fraud detection methodologies using regression, classification, clustering, Bayesian, and ensemble techniques.</li><li>
Conduct data quality assessments to identify anomalies, inconsistencies, and data integrity issues.</li><li>
Analyze large structured, semi-structured, and unstructured datasets to identify fraud indicators and investigative leads.</li><li>
Collaborate with criminal investigators to support financial fraud investigations and audits.</li><li>
Integrate NLP, OCR, semantic similarity algorithms, and large language models into analytical workflows.</li><li>
Develop visualizations, dashboards, executive summaries, and analytical reports for technical and non-technical audiences.</li><li>
Document methodologies, models, testing procedures, and analytical results in accordance with evidentiary and federal requirements.</li><li>
Coordinate with Data Engineering personnel to ensure system architecture efficiently supports analytical and machine learning requirements.</li><li>
Create automated analytical solutions using Python, Power BI, SharePoint, Excel, Power Apps, and related technologies.</li></ul>
Requirements:
<ul><li>Current clearance or ability to obtain a public trust clearance.</li><li>
Master's degree, Ph.D., or equivalent doctorate-level degree in Data Science, Machine Learning, Computer Science, Mathematics, or related field; or 10 years of relevant applied experience.</li><li>
Five or more years of experience developing advanced AI systems and predictive analytics models.</li><li>
Five or more years of experience applying modern analytic methodologies and statistical modeling techniques.</li><li>
Three or more years supporting financial fraud investigations or government oversight activities.</li><li>
Three or more years working with Python and Pandas for advanced data analysis.</li><li>
Three or more years working within cloud platforms such as Microsoft Azure, AWS, or GCP.</li><li>
Two or more years of advanced SQL development experience.</li><li>
Two or more years developing and deploying NLP solutions.</li></ul></div>

GRVTY

<div>What Impact You'll Have
We are seeking a Senior Data Scientist to support mission-driven analytic and modernization efforts across the Intelligence Community. This role leverages advanced analytics, automation, data modeling, visualization, and software development to solve complex intelligence and operational challenges. The ideal candidate is an experienced technical leader who can transform large, complex datasets into actionable intelligence, modernize analytic workflows, and develop scalable solutions that directly support enterprise decision-making and mission success.

What You'll Be Doing
As a Senior Data Scientist, you will develop advanced analytic solutions that transform complex intelligence data into meaningful insights for mission stakeholders. You will design and implement scalable data pipelines, automation strategies, and analytic processes that enable analysts to identify patterns, trends, and operational opportunities across large, diverse datasets. Working directly with intelligence professionals, you will apply data science techniques to solve challenging mission problems while improving the efficiency, repeatability, and rigor of analytic workflows.

You will leverage senior-level Python programming skills to build production-ready tools, automate manual processes, and develop reusable analytic capabilities. Your work will include designing compelling visualizations and dashboards that communicate complex findings in a clear, actionable manner, enabling mission partners to integrate data-driven insights into daily operations and strategic planning. As new requirements emerge, you will rapidly prototype and deploy solutions that support evolving customer needs.

Operating in a fast-paced, mission-focused environment, you will independently manage multiple concurrent projects while collaborating with multidisciplinary teams across the Intelligence Community. You will provide technical leadership in the application of modern data science practices, ensuring solutions are scalable, maintainable, and aligned with enterprise modernization initiatives. Through innovation and continuous improvement, you will help advance intelligence capabilities by transforming data into operational advantage.

What You Must Have
<ul><li>Active TS/SCI clearance (ability to obtain a CI Poly preferred).
</li><li>Demonstrated experience supporting intelligence missions through data science, advanced analytics, or intelligence analysis.
</li><li>Ability to operate independently at a senior level with minimal oversight.
</li><li>Senior-level proficiency in Python and experience developing production-quality analytic applications and automation solutions.
</li><li>Demonstrated proficiency designing and implementing scalable processes for large, complex datasets to identify trends, patterns, and analytical discoveries.
</li><li>Experience developing data models, automation workflows, and repeatable analytic processes.
</li><li>Experience creating visualizations, dashboards, and data products that effectively communicate complex analytical findings and support operational decision-making.
</li><li>Experience managing multiple projects and technical initiatives simultaneously in a high-tempo operational environment.
</li><li>Strong understanding of data analysis, statistical methods, and data-driven problem solving.
</li><li>Excellent written and verbal communication skills with the ability to present technical concepts to diverse audiences.
</li><li>Familiarity with common Intelligence Community (IC) data repositories.
</li><li>Demonstrated ability to collaborate effectively with analysts, engineers, and mission stakeholders to deliver innovative solutions.
</li><li>Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis.
</li></ul>What Would Be Nice to Have
<ul><li>Experience with additional programming languages or low-code/no-code platforms such as JEMA, Brewlytics, or ArcGIS ModelBuilder.
</li><li>Experience developing enterprise-level dashboards and data visualization solutions using modern business intelligence tools.
</li><li>Experience applying machine learning or artificial intelligence techniques to intelligence problems.
</li><li>Experience working with cloud-based data platforms and distributed computing environments.
</li><li>Experience mentoring junior data scientists or leading technical modernization initiatives.
</li><li>Knowledge of DevSecOps principles and modern software development practices.</li></ul></div>

Al-Futtaim

<div>Job Requisition ID: 180008
Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A&rdquo;rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.
By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day. 

Overview Of The Role: 
The Senior Data Scientist will lead the development of advanced machine learning models to optimize demand forecasting and pricing strategies, driving increased profitability and customer satisfaction. This role requires a high level of expertise in Generative AI, MLOps, and cross-functional collaboration to ensure the seamless integration of data-driven solutions within the business. Success in this role is measured by the accuracy and robustness of predictive models, the optimization of pricing strategies, and the overall enhancement of customer analytics. 

What You Will Do:
<ul>
<li>Design, develop, and deploy demand forecasting models using traditional and machine learning techniques like ARIMA, XGBoost, and LSTM.</li>
<li>Leverage Generative AI (GenAI) to enhance demand forecasting accuracy by simulating future demand scenarios and improving model predictions.</li>
<li>Implement dynamic pricing models using advanced algorithms to optimize pricing strategies based on demand predictions, inventory levels, and competitor data.</li>
<li>Analyze customer behavior by applying clustering algorithms and predicting customer lifetime value (CLV) with machine learning models to drive personalized pricing strategies.</li>
<li>Monitor, evaluate, and fine-tune model performance using metrics such as MAE, RMSE, and Precision/Recall, continuously improving model accuracy and robustness.</li>
<li>Apply MLOps practices, including version control, model deployment pipelines, and automated testing, to ensure seamless integration, monitoring, and scaling of models across environments.</li>
<li>Collaborate with cross-functional teams, including marketing, product, and sales, to ensure alignment between forecasting models and business objectives.</li>
<li>Deploy and scale forecasting and pricing models on Azure cloud platform, leveraging CI/CD pipelines and model monitoring tools for real-time performance tracking and proactive issue resolution.</li></ul> 
 
Required Skills To Be Successful:
<ul>
<li>Advanced machine learning model development and optimization skills.</li>
<li>Expertise in Generative AI techniques for demand forecasting.</li>
<li>Proficiency in MLOps practices and model deployment pipelines.</li>
<li>Strong communication and collaboration abilities with cross-functional teams.</li></ul> 
 
What Qualifies You For The Role:
<ul>
<li>Master's degree in Statistics, Data Science, Machine Learning, Mathematics, Computer Science, or a related quantitative field.</li>
<li>10+ years of experience in data science, with at least 5+ years focused on demand forecasting, price optimization, and customer analytics.</li>
<li>Strong hands-on experience with ARIMA, XGBoost, LSTM, and OR models.</li>
<li>Proficiency in Python, SQL, Databricks, and cloud platforms (Azure, GCP).</li></ul> 
We&rsquo;re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish. 

Before you click &ldquo;apply&rdquo;: Please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence. 

As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.</div>

Walmart

<div><h2 class="jobSectionHeader">Position Summary...</h2><h2 class="jobSectionHeader">
What you'll do...</h2>
Role summary:
 
As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that enhance business outcomes. This role requires proficiency in data sourcing, model development, validation, and scalable deployment, alongside strong coding and visualization skills. You will collaborate with cross-functional teams to translate complex business challenges into actionable insights, guiding decision-making through robust data strategies. Your expertise will support continuous improvement and innovation, ensuring data assets deliver measurable value aligned with Walmart&rsquo;s strategic objectives.
 
About the team:
 
The team leads Walmart Search&rsquo;s data science and measurement strategy, collaborating with senior leaders to drive business growth. They develop analytical roadmaps focused on ranking, relevance, and monetization while building an advanced self-serve analytics platform to accelerate insights. The team designs and executes large-scale experimentation programs, including A/B testing across search ranking, user interface, and monetization features. By applying advanced analytics and machine learning, they prioritize innovation and impact to enhance customer experience and business outcomes. Strong leadership, project management, and collaboration skills are essential to their success.
 
What you'll do:
 
<ul><li>Identify and source relevant data from multiple business domains and databases to support analytical initiatives.</li><li>
Perform data quality assessments and ensure data integrity for accurate model development.</li><li>
Develop, test, and deploy advanced analytical models using programming languages such as Python and SQL.</li><li>
Evaluate model performance through rigorous validation techniques and optimize for scalability and sustainability.</li><li>
Create clear and insightful data visualizations to communicate findings effectively to stakeholders.</li><li>
Translate complex business problems into data-driven solutions aligned with strategic objectives.</li><li>
Mentor junior team members on analytical methods and best practices.</li></ul>
 
What you'll bring:
 
<ul><li>Extensive experience in data science and advanced analytical modeling techniques, including machine learning and statistical methods.</li><li>
Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau to communicate complex insights effectively.</li><li>
Strong knowledge of data source identification, data quality assessment, and data governance principles within distributed data environments.</li><li>
Ability to develop, test, validate, and deploy scalable analytical models aligned with business objectives.</li><li>
Demonstrated expertise in translating business requirements into data-driven solutions and providing actionable recommendations.</li><li>
Experience mentoring junior associates and collaborating cross-functionally to drive data-enabled decision-making.</li></ul>
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.
 
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.
 
For information about benefits and eligibility, see One.Walmart.
 
The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
 
<ul><li>Stock</li></ul>
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&lrm;<h2 class="jobSectionHeader">
Minimum Qualifications...</h2>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1- Bachelor&rsquo;s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 
years' experience in an analytics related field. Option 2- Master&rsquo;s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, 
Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or 
related field.<h2 class="jobSectionHeader">
Preferred Qualifications...</h2>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, Master&rsquo;s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, 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.<h2 class="jobSectionHeader">
Primary Location...</h2>
809 11th Ave, Sunnyvale, CA 94089-4731, United States of America
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) Senior, Data Scientist

Capgemini

<div><div><div><div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
<div><div><div><h2 class="jobSectionHeader">Location</h2>
</div><div>New York , NY
</div></div><div><div><h2 class="jobSectionHeader">Your Role</h2>
</div><div><div>Principal Architects are expected to develop highly available, fault tolerant architectures following industry standards and best practices. They are expected to lead other architects and develop standards and best practices across the architecture landscape. This includes internal business applications, new technology initiatives, and consumer-facing systems. The successful candidate will work closely with clients (users) to complete the analysis and design of systems and follow the implementation to completion.
 
 
**RESPONSIBILITIES**
 
 
<ul><li>Applies extensive knowledge of theories, practices and design matters.
</li></ul> 
<ul><li>Works on issues that impact program success or addresses future concepts and products. Implementation of solutions requires a longer-term view which impacts strategic goals and objectives spanning several functions.
</li></ul> 
<ul><li>Exercise a wide latitude in determining objectives and approaches to critical assignments.
</li></ul> 
<ul><li>Knowledge with broadcast production or video content management systems
</li></ul> 
<ul><li>Knowledge of media management strategies and distribution workflows
</li></ul> 
<ul><li>Lead and contributes to development of company objectives across and principles to achieve goals
</li></ul> 
<ul><li>Deep understanding of AWS/Azure services and products
</li></ul> 
<ul><li>Provide feasibility reviews for potential new projects, including development effort estimates
</li></ul> 
<ul><li>Strong understanding of the C4 model and traditional design artifacts
</li></ul> 
<ul><li>Work with Engineering and Quality Assurance to identify and address reported issues quickly and effectively
</li></ul> 
<ul><li>Build and maintain scalable backend microservices using Python and FastAPI, deployed as varying serverless infrastructure.
</li></ul> 
<ul><li>Develop tools, constraints (guardrails), and deterministic functions that our AI agents use to edit visual assets. Integrate models on owned infrastructure for inference and integrate third-party AI endpoints.
</li></ul> 
<ul><li>Implement complex distributed workflows for high-volume job orchestration and dispatching (e.g. EventBridge, queues, DynamoDB streams).
</li></ul> 
<ul><li>Terraform contributions to provision and mange cloud resources safely and effectively across multiple environments.
</li></ul> 
<ul><li>Contribute to our modern backend orchestration or modern web frontends.
</li></ul> 
<ul><li>Write robust unit and end-to-end tests to ensure the stability of both standard APIs and AI agent outputs, ensuring smooth deployments. 
</li></ul> 
 
 
</div></div></div><div><div><h2 class="jobSectionHeader">Required Skills and Expereince</h2> 
</div><div><div> 
 
<ul><li>7+ years of professional software engineering experience with a strong grasp of the Software Development Life Cycle and version control.
</li></ul> 
<ul><li>Strong proficiency in modern Python. Hands-on experience deploying and operating services in AWS, Azure, and/or GCP.
</li></ul> 
<ul><li>Practical experience integrating LLMs into software applications. You must understand how to interact with inferencing endpoints, manage context windows, and parse AI-generated content.
</li></ul> 
<ul><li>Applied experience with Terraform or similar IAC tools to manage cloud resources.
</li></ul> 
<ul><li>A strong commitment to writing clean, maintainable, and well-tested code. Experience working in an agile environment with rigorous code-review standards.
</li></ul> 
<ul><li>Expert experience, understanding and knowledge of digital and broadcast production operations and workflows
</li></ul> 
<ul><li>Strong knowledge of AI industry trends and best practices
</li></ul> 
<ul><li>Strong experience with the C4 model and other traditional design artifacts
</li></ul> 
<ul><li>Experience working in an Agile environment 
</li></ul> 
 
<ul><li>Familiarity with continuous integration practices
</li></ul> 
<ul><li>BS in CS, EE or equivalent experience required'
</li></ul></div></div></div></div>The base compensation range for this role in the posted location is: $120,000- $180,000
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul>Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div></div></div></div>

Lucet

<div>Who We Are

At Lucet, we are industry leaders in behavioral health, dedicated to helping people live healthy, balanced lives. Our purpose is to advocate for and improve the overall well-being of those we serve, through balanced treatment of the mind and body.

When you join Lucet, you become a valued member of our team, serving more than 15 million people across the U.S. Our employees have a passion for helping others - and it shows. From entry-level employees to senior leaders, we are inspired by our members, putting them first in everything we do. From day one, you'll see firsthand the impact you have on our members, knowing you can make a true difference in their lives.

Why Join our Team

At Lucet, we&rsquo;re committed to creating a workplace where top talent thrives both personally and professionally. We offer a dynamic, mission-driven environment where your work has real impact, your unique background and experience are valued, and no two days are alike. If you&rsquo;re passionate about meaningful work and delivering impactful results, we encourage you to apply!

We support our team with a competitive compensation and benefits package, including:
<ul>
<li>Annual compensation between $125,000 - $135,000, PLUS an annual performance-based, discretionary incentive.</li>
<li><ul><li><ul><li>Compensation is dependent on non-discriminatory factors including but not limited to an applicant's skills, education/degrees, certifications, prior experience, market data, and other relevant factors.</li></ul></li>
</ul></li><li>Comprehensive health benefit options: Medical, dental, and vision coverage</li>
<li>401(k) with competitive employer match</li>
<li>Company-paid life and disability insurance</li>
<li>Paid parental leave and wellbeing incentives</li>
<li>Generous paid time off, including volunteer time</li>
<li>Flexible spending accounts for healthcare and dependent care</li>
<li>Professional development opportunities and tuition reimbursement</li>
<li>Remote work flexibility (role-dependent)</li>
<li>Opportunity for meaningful growth, both personally and professionally, where your unique background and experience is welcomed and valued.</li>
</ul>
At Lucet, your work will directly support our mission to improve behavioral, physical, and social health&mdash;one member at a time.

What You Will Do - Essential Functions

The position of Sr Data Scientist at Lucet entails creating strategic solutions from large amounts of data collected from various sources, organizing and analyzing the data, then interpreting the data and communicating the results to Lucet stakeholders. It requires a creative, analytical, and tech-savvy problem-solver with good communication skills, and an advanced knowledge of statistics and mathematics. The data scientist has an obligation to uphold the scientific integrity of Lucet and provide thought leadership that will improve members lives.
<ul>
<li>Data Analysis &amp; Methodology</li>
<li><ul><li>Perform quantitative analyses, design behavioral health assessments, and apply advanced statistical methods to generate actionable insights.</li>
<li>Ensure psychometric rigor (reliability, validity, predictive value) and validate models for generalizability and meaningful outcomes.</li>
</ul></li><li>Collaboration &amp; Communication</li>
<li><ul><li>Partner with cross-functional teams and external collaborators to design research, gather requirements, and translate findings into business and clinical insights.</li>
<li>Deliver presentations and produce clear, non-technical reports to communicate results, limitations, and strategic recommendations.</li>
</ul></li><li>Project &amp; Data Management</li>
<li><ul><li>Lead and manage data-driven projects, including data cleaning, task delegation, and oversight of analytic workflows.</li>
<li>Identify opportunities to leverage insights for business impact while staying current on data science advancements.</li>
</ul></li>
</ul>Who You Are

Health Insurance or Payer experience highly preferred!
<ul>
<li>Required Qualifications</li>
<li><ul><li>Advanced degree in data science, statistics, computer science, or similar.</li>
<li>7+ years experience as a data scientist.</li>
<li>5 + year in R or Python, where the former is preferred.</li>
<li>5+ years In-depth understanding of SQL.</li>
<li>Competent in machine learning principles and techniques.</li>
<li>Demonstrable history of devising and overseeing data-centered projects.</li>
<li>Ability to relay insights in layman's terms, such that these can be used to inform business decisions.</li>
<li>Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.</li>
<li>Compliance with prevailing ethical standards.</li>
<li>Ability to pass background check upon hire and throughout employment to include criminal felony &amp; misdemeanor search, SSN validation/trace search (LEIE), education report (highest degree obtained), civil upper and lower search, 7-year employment report, federal criminal search, statewide criminal search, widescreen plus national criminal search, health care sanctions-state med (SAM), national sex offender registry, prohibited parties (OFAC) (terrorist watchlist), and a 10-Panel Drug Screen.</li>
</ul></li><li>Someone who embodies our values by:</li>
<li><ul><li>Serving everyone with compassion and leading with empathy.</li>
<li>Stepping up and creating value by taking charge and acting when there is an opportunity.</li>
<li>Adapting in a changing world by recognizing our responsibility to be agile and respond quickly.</li>
<li>Nurturing growth and belonging by respecting and celebrating everyone for who they are.</li>
</ul></li><li>Competencies</li>
<li><ul><li>Responsible with a high level of integrity and ethical standards</li>
<li>Intuitive nature to identify compliance irregularities</li>
<li>Excellent communication and interpersonal skills, with the ability to collaborate across teams.</li>
</ul></li><li>Working Conditions:</li>
<li><ul><li>High-speed internet service (cable or fiber optic) with minimum download Speed of 20 Mbps, Upload Speed of 5 Mbps, and Maximum Latency of 100 milliseconds (must be installed before starting) required.</li>
<li>Frequent use of computer and phone systems</li>
<li>Must be able to constantly remain in a stationary, sitting position, communicate and exchange information with others, inspect information, perform repetitive motions with arms and fingers, interpret data, problem solve, make decisions, organize and plan, and maintain a positive and professional attitude in all situations.</li>
<li>Work is performed from home with company-provided equipment. Sitting for long periods of time is expected and use of fingers and hands for typing is necessary.</li>
<li>A quiet workspace with minimal background noise for calls.</li>
<li>For roles requiring travel, employees must be able to travel by air to various locations and stay overnight in hotels as needed for business purposes which includes ability to manage travel logistics, adapt to varying time zones and environments, and adapt to varying worksite conditions.</li>
</ul></li>
</ul>We encourage applicants from a variety of backgrounds and experiences to apply, especially those who can demonstrate how their unique qualifications and skills align with the requirements of this role and support our mission to improve whole-person health.

This position will accept and review new applications and resumes no less than 5 business days after the original posting date and may remain open an extended period of time with no set end date based on the level of interest.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</div>

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