data science specialist

Superior Plus Propane

We are looking for a Customer Marketing Data Scientist who combines strong technical expertise with the ability to own business problems end-to-end, partner with stakeholders, and drive decisions through data. In this role, you’ll work hands-on with data while also acting as a key thought partner to Marketing and cross-functional teams. Your success will be defined not just by the models you build, but by your ability to translate insights into action and influence strategy.
 
If you thrive in ambiguity, enjoy solving real business problems, and can clearly communicate data-driven recommendations to non-technical audiences, this could be your ideal fit.
 
Why join us: 
Culture: Join a supportive and inclusive work environment where collaboration, respect, and open communication are at the core of everything we do.
 Competitive Compensation: We offer highly competitive compensation and a total rewards package, ensuring that your hard work and dedication are recognized and rewarded accordingly.
 Flexibility: We understand the importance of work-life balance and offer various flexible schedules to help you manage your personal and professional commitments effectively.
 Technology: Work with state-of-the-art tools and technologies that empower you to excel in your role and stay at the forefront of industry trends.
 Employee Assistance Programs: We care about you! You and your family will have access to LYRA, an industry leading platform that provides comprehensive support and a myriad of resources to help support your physical, mental, financial and social well-being.
 Opportunity: A continuous focus on professional development with many opportunities for training & career growth.
 Safety Focused: We care about you and have developed a 24/7 safety mindset that is showcased throughout every facet of the organization.
 
What you’ll do: 
<ul>
<li>End-to-End Analytics Ownership: Lead analytics initiatives from problem definition through to insight delivery and business adoption, ensuring outcomes; not just outputs.</li>
<li>Business Collaboration & Influence: Partner with Marketing, BI, IS, and other teams to understand challenges, proactively identify opportunities, and shape decisions through data.</li>
<li>Data Storytelling & Communication: Translate complex analysis into clear, actionable insights; present findings in a way that drives understanding and decision-making across all levels.</li>
<li>Customer & Marketing Insights: Deliver analysis that informs segmentation, retention, campaign performance, and customer strategy.</li>
<li>Test-and-Learn Approach: Design experiments, iterate quickly, and continuously improve impact through data-driven learning.</li>
<li>Technical Execution: Work hands-on across the data lifecycle (data prep, modeling, analysis), applying advanced analytics and ML techniques to real business problems.</li>
<li>Cross-Functional Delivery: Collaborate effectively across a geographically dispersed team, ensuring alignment, transparency, and progress.</li>
</ul>
What you bring: 
<ul>
<li>Bachelor’s degree (or equivalent hands-on experience) in Data Science, Statistics, Computer Science, Marketing, Social Sciences, or a related field; certifications in analytics or AI/ML are an asset</li>
<li>5 years of experience in marketing, customer analytics, or data science in a business-facing role</li>
<li>Proven ability to own analytics projects end-to-end; from problem definition through to insight adoption and measurable business impact</li>
<li>Strong problem-solving skills with the ability to translate ambiguous business questions into structured analytical approaches</li>
<li>Proficiency in SAS, Python, R, and/or SQL, with experience working with large, complex datasets</li>
<li>Experience working with cloud and data platforms such as Azure and Databricks</li>
<li>Experience with data visualization and BI tools such as Power BI, Tableau, or Looker to communicate insights effectively</li>
<li>Experience applying predictive modeling, segmentation, experimentation, and/or marketing analytics techniques</li>
<li>Ability to connect technical outputs to clear business insights and strategic recommendations</li>
<li>Strong communication and storytelling skills; able to present complex ideas in a clear, concise, and actionable way for non-technical audiences</li>
<li>Comfortable partnering with and influencing stakeholders, with a proactive, curious, and outcome-driven mindset that balances hands-on execution with big-picture thinking</li>
<li>English proficiency is required to support the full North American business.</li>
<li>Legal Authorization to work in the US is required. We will not sponsor individuals for employment visas now or in the future for this job opening.</li>
</ul>
Why join us: 
<ul>
<li>Ability to connect technical work to business impact and strategy</li>
<li>Strong communication skills—able to make complex insights accessible and actionable</li>
<li>Comfortable engaging stakeholders, challenging assumptions, and guiding direction</li>
<li>Curious, proactive, and focused on delivering measurable outcomes</li>
</ul>
The expected annual salary range for this role is $85,000 - $105,000 a year.
 Please note the compensation information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, candidate’s geographical location, as well as market and business considerations.
 
Here at Superior Plus Propane, we are an equal opportunity employer committed to the inclusion and accommodation of all individuals, we welcome all qualified candidates to apply. If you have an accommodation need during the recruitment & selection process, we encourage you to connect with us at sppcareers@superiorpluspropane.com to let us know how we can enhance your experience.

Customer Marketing Data Science Specialist

The University of Chicago

<div>Department
BSD CTD - Data Science 
About the Department
The Center for Translational Data Science (CTDS) at the University of Chicago is a research center whose mission is to develop the discipline of translational data science to impactful problems in biology, medicine, healthcare, and the environment. We envision a world in which researchers have ready access to the data needed and the tools required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/ https://gen3.org/ https://stats.gen3.org/ and https://ctds.uchicago.edu/. 
Job Summary
The Center for Translational Data Science at the University of Chicago is seeking a Staff Data Scientist to support a diverse range of research projects. Data Scientists work in a collaborative interdisciplinary team and play a critical role in AI/ML tooling, features, and improvements for our open-source software systems and applications, analyzing data, and in understanding and representing user requirements to internal and external stakeholders in our translational data science projects and products. Under the leadership of team or project leads, a person in this position will be a key contributor to the design and implementation of algorithms, AI/ML models, and workflows to enable the discovery of valuable information in large volumes of data from various sources; organizes, harmonizes, and analyzes data sets and develops tools to assist such processes; uses various technologies to visualize data or enable data visualization; and creates applications of general value to the project and product owners. The job uses best practices and advanced knowledge of data manipulation, statistical applications, programming, analysis and modeling in order to implement projects related to the University's various internal data systems as well as from external sources. 
 
This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.
Responsibilities<ul><li>
Leading the Interpretation of data from multiple sources.</li><li>
Developing and implementing software programs and services, software notebooks and software scripts for data transformation, data integration, data analysis and data visualization.</li><li>
Building, validating and evaluating AI/ML models.</li><li>
Contributing to and taking a leadership role in the enhancement and maintenance of previously developed in-house open-source data platforms, systems, applications and notebooks.</li><li>
Performing various types of analysis involving multiple data sets.</li><li>
Leading data science projects and initiatives within purview, by relaying data analysis and model deployment best practices, enhancing the technical knowledge of peers, and helping develop data science skills in junior employees and interns.</li><li>
Leading the conceptualization, design, and execution of sophisticated data science projects and AI/ML solutions for research and production environments.</li><li>
Establish and enforce data governance, quality assurance processes, and operational protocols for large, complex data sets from internal and external sources.</li><li>
Assisting in providing leadership for design of user-facing computational resources.</li><li>
Serving as a reference for staff, faculty members, and Gen3 users as a technical subject matter expert by applying principles of data science to define and scope data science projects that involve developing computational tools and services for data engineering, data manipulation, statistical analysis, and modeling.</li><li>
Collaborating closely with faculty, researchers, and stakeholders to translate scientific and user requirements into actionable data science strategies and solutions.</li><li>
Stay current with developments in data science, machine learning, artificial intelligence, and related fields, and adopt new methods and technologies to advance research goals.</li><li>
Communicate complex technical concepts and project results clearly to technical and non-technical audiences, and present findings at internal and external forums.</li><li>
Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information. May develop and maintain infrastructure that connects data sets.</li><li>
Guides staff or faculty members in defining the project and applies principals of data science in manipulation, statistical applications, programming, analysis and modeling.</li><li>
Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University's various internal data systems as well as from external sources.</li><li>
Performs other related work as needed.</li></ul> 
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field. 
Work Experience:
Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline. 
Certifications:
-
Preferred Qualifications
Education:<ul><li>
Advanced degree in Computer Science, Data Science, Statistics, Mathematics, Bioinformatics, or a relevant quantitative field.</li></ul>
Experience:
<ul><li>Experience working in data science roles, preferably in an academic, research, or health/science environment.</li><li>
Experience with collaborative open-source projects and software engineering best practices.</li><li>
Experience working in multi-disciplinary academic teams.</li><li>
Knowledge of biomedical and translational research data sources is a significant advantage.</li><li>
Knowledge of hardware specifications required for AI/ML research and projecting resource needs and use in public clouds environments like AWS and GCP.</li><li>
Knowledge of and experience with data and applications of interest to CTDS, including, but not necessarily limited to, AI data commons, AI data meshes, Gen3, NCI Genomic Data Commons, cancer genomics, biomedical imaging data, human clinical data.</li><li>
Expertise in designing and implementing machine learning, deep learning, and statistical models for research and production.</li><li>
Experience with biomedical data.</li><li>
Experience collaborating on manuscripts and submitting papers for peer-reviewed, scientific publications.</li></ul>
Preferred Competencies<ul><li>
Advanced skills in problem solving and quantitative/qualitative analysis.</li><li>
Able to organize and prioritize work assignments to meet project needs and work independently to identify and address needs beyond assigned tasks.</li><li>
Strong communication skills to effectively convey complex findings while serving as a reference and subject matter expert for staff, faculty members, and Gen3 users.</li><li>
Ability to quickly comprehend requirements and assignments and then explain his/her solutions in both writing and speech.</li><li>
Ability to learn new skills quickly and manage complex projects.</li><li>
Proficiency in Python, R, and other relevant programming languages; experience with open-source data science platforms, technologies, and cloud environments.</li><li>
Outstanding analytical, problem-solving, and project management abilities.</li><li>
Proven track record mentoring and leading project teams and communicating technical issues to diverse audiences.</li><li>
Excellent written and verbal communication skills.</li></ul>
Working Conditions<ul><li>
Hybrid office/remote.</li></ul>
Application Documents<ul><li>
Resume/CV (required)</li><li>
Cover Letter (preferred)</li></ul> 
The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions. 
 
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. 
Job Family
Research 
Role Impact
Individual Contributor 
Scheduled Weekly Hours
40 
Drug Test Required
No 
Health Screen Required
No 
Motor Vehicle Record Inquiry Required
No 
Pay Rate Type
Salary 
 
FLSA Status
Exempt 
 
Pay Range
$90,000.00 - $120,000.00
The included pay rate or range represents the University&rsquo;s good faith estimate of the possible compensation offer for this role at the time of posting. 
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. 
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. 
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. 
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. 
The University of Chicago's Annual Security &amp; Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.</div>

Staff Data Scientist & AI Researcher

MOZN

<div>
 
 
 About Mozn
 
 
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We're a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you're passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About the role
 
 
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 
 What you'll do
 
 
 
 
 
 <ul>
 <li>
 Communicate highly technical results and methods clearly to a wide variety of external clients
 </li>
 <li>
 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques
 </li>
 <li>
 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions
 </li>
 <li>
 Plan and execute end-to-end data science projects, from data collection and exploration through model development, deployment, and intelligent decision-making
 </li>
 <li>
 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity
 </li>
 <li>
 Deploy and maintain AI and machine learning models across on-prem, cloud, and hybrid environments
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields
 </li>
 <li>
 3-5 years of relevant experience as a data scientist, or similar fields that require developing ML/AI models
 </li>
 <li>
 Programming experience over three years, including data manipulation using Python or other languages
 </li>
 <li>
 Good understanding of statistics and probability, such as Bayesian methods and conditional probability
 </li>
 <li>
 Applied experience in machine learning, such as conducting model experiments
 </li>
 <li>
 Experience in version control systems, such as Git, GitHub
 </li>
 <li>
 Experience in SQL or NoSQL is preferred
 </li>
 <li>
 Familiarity with big data technologies, such as Spark
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch
 </li>
 <li>
 Familiarity with containerization frameworks, such as Docker
 </li>
 <li>
 Experience deploying, operating, and managing applications or services in cloud environments, whether related to AI/ML or broader software workloads
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space
 </li>
 </ul>
 <ul>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
 </li>
 </ul>
 <ul>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 </ul>
 <ul>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
 </li>
 </ul>
 <ul>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
 </li>
 </ul>
 
 &nbsp;
 
</div>

Data Scientist III

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">Job Location : Cary, NC (Onsite/Hybrid from Day 1)</h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader">Job Description</h2>
</div><div>We are seeking an experienced Data Scientist to join our growing Analytics and AI team. This role is responsible for developing and deploying advanced Machine Learning, Artificial Intelligence, and Generative AI solutions that drive customer engagement, marketing effectiveness, revenue growth, and business outcomes. The ideal candidate will have a strong blend of technical expertise, business acumen, and stakeholder management experience, particularly within the insurance and/or financial services industry.
</div></div><div><div><h2 class="jobSectionHeader">Key Responsibilities</h2>
</div><div><ul><li>Own technical decisions, project outcomes, timelines, and production stability within assigned business domains.</li>
<li>Design, develop, train, and optimize machine learning and deep learning models for marketing, customer engagement, sales, and business analytics use cases.</li>
<li>Analyze complex datasets to identify trends, patterns, anomalies, and actionable insights that support business strategy and decision-making.</li>
<li>Develop statistical models, predictive analytics, and machine learning algorithms using Python and Azure cloud technologies.</li>
<li>Build, deploy, and support production-ready ML and GenAI solutions, including API-based, batch, and real-time inference applications.</li>
<li>Collaborate with business stakeholders, product teams, and cross-functional partners to identify opportunities and implement data-driven solutions.</li>
<li>Integrate AI and ML capabilities into business applications and workflows through APIs, SDKs, and microservices.</li>
<li>Create compelling visualizations, dashboards, reports, and presentations to communicate analytical findings and recommendations to senior leadership and business partners.</li>
<li>Apply MLOps best practices to ensure scalability, reliability, performance monitoring, and operational excellence of AI/ML solutions.</li>
<li>Optimize platform components leveraging cloud-native architectures, distributed computing, and efficient resource management practices.</li>
<li>Stay current with emerging trends, technologies, and best practices in Artificial Intelligence, Data Science, Machine Learning, and Generative AI.</li>
<li>Promote responsible AI practices, including data privacy, model governance, bias mitigation, and model monitoring.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Required Qualifications</h2>
</div><div><ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.</li>
<li>8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, and/or AI/ML Engineering.</li>
<li>5+ years of experience in the Insurance and/or Financial Services industry with exposure to sales, marketing, customer engagement, or customer analytics.</li>
<li>Proven experience designing, deploying, and operating production Machine Learning and/or Generative AI solutions, including APIs, batch processing, and real-time inference.</li>
<li>Strong experience developing Machine Learning models using Python, preferably in cloud environments.</li>
<li>Experience with Azure Machine Learning, Domino Data Lab, Power BI, or similar analytics and ML platforms.</li>
<li>Strong SQL skills and hands-on experience with data analysis, anomaly detection, data validation, and Exploratory Data Analysis (EDA).</li>
<li>Solid understanding of statistics, mathematics, predictive modeling, machine learning algorithms, and data science methodologies.</li>
<li>Experience leveraging AI and predictive analytics to improve customer experience, communication strategies, revenue generation, marketing effectiveness, and other business outcomes.</li>
<li>Familiarity with responsible AI principles, including data privacy, bias mitigation, model explainability, governance, and monitoring.</li>
<li>Excellent written and verbal communication skills, including the ability to present insights effectively through storytelling, visualizations, and executive-level presentations.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Preferred Qualifications</h2>
</div><div><ul><li>Experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks.</li>
<li>Experience implementing MLOps and model lifecycle management practices in cloud environments.</li>
<li>Knowledge of cloud-native architectures and scalable AI/ML deployment patterns.</li>
<li>Experience working within highly regulated environments such as Insurance or Financial Services.</li>
</ul></div></div></div>The base compensation range for this role in the posted location is: 85786- 97273
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.

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>

Data Scientist

Walmart

<div>
 Position Summary...
 
 
 What you'll do...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 support strategic business objectives. This role requires proficiency in data sourcing, model development, validation, and scalable deployment, alongside strong coding and visualization skills. You will collaborate across functions to translate complex business challenges into actionable insights, mentor team members, and ensure alignment with data governance and quality standards. Your contributions will drive informed decision-making and enhance operational efficiency within a dynamic, data-centric environment.
 
 
 About the team:
 
 
 Our team collaborates closely with Walmart U.S. stores and eCommerce to enhance customer experiences through technological innovation. We empower team members, stores, and merchants by leveraging data science and advanced analytics across various categories, including groceries, entertainment, and sporting goods. Key focus areas include in-store service, merchant tools, data science, search, and personalization. By integrating data-driven insights and scalable solutions, the team supports business growth and operational excellence, ensuring customers receive a seamless shopping experience whether online or in-store.
 
 
 What you'll do:
 
 
 <ul>
 <li>
 Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST, enabling robust forecasting across thousands of retail and e-commerce time series.
 </li>
 <li>
 Foundational Knowledge on advanced regression.
 </li>
 <li>
 Apply generative AI to synthesize time series data, enhance model training pipelines, and build intelligent NLP-based assistants for analytics enablement.
 </li>
 <li>
 Design and train large-scale neural networks for time series, anomaly detection, and causal inference, with deployment via automated batch pipelines
 </li>
 <li>
 Build and maintain production-ready applications on cloud platforms, integrated with internal systems to deliver insights at scale.
 </li>
 <li>
 Collaborate with cross-functional teams to define objectives, formulate hypotheses, and deploy models that directly influence decision-making.
 
 
 </li>
 </ul>
 What you'll bring:
 
 
 <ul>
 <li>
 Strong foundation in time series forecasting, deep learning, and optimization theory, with a focus on sequence modeling and attention-based architectures.
 </li>
 <li>
 Experience in training and deploying transformer-based neural networks (e.g., TFT, LSTM, GPT variants) for real-world business applications.
 </li>
 <li>
 Proficient in Python, SQL, and hands-on with PyTorch, TensorFlow/Keras, Scikit-learn, and statsmodels.
 </li>
 <li>
 Demonstrated ability to work on GPU-based model training pipelines, and exposure to managing experimentation at scale.
 
 
 </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.
 
 
 
 Bentonville, Arkansas US-09050: The annual salary range for this position is $90,000.00 - $180,000.00
 
 
 Sunnyvale, California US-04397: 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>
 ㅤ
 
 
 ㅤ
 
 
 ㅤ
 
 
 ㅤ
 
 
 &lrm;
 
 
 
 Minimum Qualifications...
 
 
 
 
 
 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.
 
 
 
 Preferred Qualifications...
 
 
 
 
 
 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.
 
 
 Primary Location...
 
 
 805 Se Moberly Ln., Bentonville, AR 72712, 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.
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(USA) Senior, Data Scientist

Alaka`ina Foundation Family of Companies

<div><div>Bering-Alaka`ina Holdings, LLC is looking for a Sr. Data Scientist to provide support for our government customer in Arlington, VA.
DESCRIPTION OF RESPONSIBILITIES:<ul><li>
Provide senior-level technical expertise and advisory support to ODASW(CNGT) leadership regarding data science, advanced analytics, and the mathematical and statistical methodologies required to evaluate the effectiveness of the DoW&rsquo;s Counternarcotics (CN) program.</li><li>
Support the government in the design, development, and implementation of a new performance measurement framework focused on Measures of Effectiveness (MOEs). Assist in the analysis of large, complex, and disparate datasets from across the DoW CN community to identify trends and evaluate program outcomes against strategic objectives.</li><li>
Develop and employ advanced predictive models, machine learning algorithms, and statistical techniques to assist government personnel in forecasting threat activities, assessing the potential impact of program changes, and optimizing resource allocation.</li><li>
In partnership with the Performance Metrics Analyst, architect robust data pipelines and develop authoritative data visualizations and executive-level dashboards. Draft and prepare data-driven briefings and reports for government review, enabling senior leadership to brief the Office of National Drug Control Policy (ONDCP), Congressional committees, and other stakeholders.</li><li>
Function as senior data science Subject Matter Experts (SMEs) within ODASW(CNGT). Draft, recommend, and prototype enterprise-wide standards, guidelines, and best practices for data collection, management, and analysis for government approval and implementation.</li><li>
Participate in forums with the Joint Staff, Interagency partners, the Intelligence Community, and international partners to provide technical SME support. Assist government personnel by identifying data-sharing opportunities, drafting technical requirements for data-sharing agreements, and facilitating analytical consensus among stakeholders.</li><li>
Other duties as assigned by Supervisor.</li></ul>
REQUIRED DEGREE/EDUCATION/CERTIFICATION:
Possess an advanced degree (Ph.D. highly preferred) in Data Science, Computer Science, Statistics, Applied Mathematics, or a closely related quantitative field from an accredited university.
REQUIRED SKILLS AND EXPERIENCE:<ul><li>
Demonstrated mastery of advanced statistical, mathematical, and machine learning theories and their practical application to serve as a technical SME in evaluating large-scale program effectiveness.</li><li>
Expert-level skill in designing and implementing the full data science lifecycle, including mastery of programming languages (e.g., Python, R), database query languages (e.g., SQL), and data visualization tools (e.g., Tableau, Power BI).</li><li>
Proven ability to facilitate interdisciplinary technical working groups and assist government leaders in building consensus among senior personnel from diverse organizations on complex and sensitive data-related issues.</li><li>
Expert knowledge of DoW strategic guidance, policy, and authorities related to Counternarcotics (CN), Counter-Transnational Organized Crime (CTOC), and security cooperation programs.</li><li>
Proven capability operating efficiently within secure DoW or Intelligence Community data environments, with a strong understanding of data governance, security protocols, and ethical AI implementation.</li><li>
Possess ten (10) years&rsquo; experience providing services to senior general/flag officer ranks and/or SES levels within the DOW, other government agencies, or industry corporate equivalents, and will be expected to perform at the level of a mid-range GS-15 equivalent.</li><li>
Be able to operate independently, proactively manage requirements, and require minimal government direction to achieve desired outcomes</li><li>
Demonstrate prior experience and capabilities for the successful execution of tasks associated with specific duty positions/focus areas (e.g., legislative, budget, etc.).</li><li>
Exceptional oral and written communication skills, and the ability to translate highly technical information into plain language for effective communication with DoW and other USG staff in the performance of all duties, tasks and services.</li><li>
Must be willing to sign a Non-Disclosure Agreement.</li></ul>
REQUIRED CITIZENSHIP AND CLEARANCE:<ul><li>
Must be a naturalized U.S. Citizen.</li><li>
Must have an active Top Secret/SCI clearance.</li></ul> 
Bering-Alaka`ina Holdings, LLC is a fast-growing government service provider. Employees enjoy competitive salaries. Eligible employees enjoy a 401K plan with company match; medical, dental, disability, and life insurance coverage; tuition reimbursement; paid time off; and 11 paid holidays.
We are an Equal Opportunity/Affirmative Action Employer of individuals with disabilities and veterans. We are proud to state that we do not illegally discriminate in employment decisions on the basis of any protected categories. If you are a person with a disability and you need an accommodation during the application process, please click here to request accommodation. We E-Verify all employees
&ldquo;EOE, including Disability/Vets&rdquo; OR &ldquo;Equal Opportunity Employer, including Disability/Veterans&rdquo;
Bering-Alaka`ina Holdings, LLC is comprised of industry-recognized government service firms designated as Alaska Native Corporation (ACN)-owned and 8(a) certified businesses and includes Ke`aki Technologies, LLC; Laulima Government Solutions, LLC; Kūpono Government Services, LLC; Kapili Services, LLC; Po`okela Solutions, LLC; Kīkaha Solutions, LLC; and Pololei Solutions, LLC.
For additional information, please visit www.beringalakaina.com 
#LI-JS1
#ClearanceJobs</div></div>

Sr. Data Scientist

JANUS Research Group

<div>
 
 Job Title
 
 
 
 Data Analyst &ndash; Curriculum
 
 
 
 Location
 
 
 
 This position is at Naval Education and Training Command (NETC) on-board Naval Air Station (NAS) Pensacola, FL.
 
 
 Target salary range:
 
 $68,000 - $72,000
 
 . The estimate displayed represents the typical salary range for this position based on experience and other factors.
 
 
 
 Objective
 
 
 
 The Data Science Specialistadvises on the potential benefits/uses of automation to improve the efficiency of program operations; Analyzes a variety of data sources to provide data-driven insights to the organization to streamline processes; Analyzes and evaluates (on a quantitative and/or qualitative basis) the effectiveness of line program operations in meeting established goals and objectives; Analyzes and evaluates the effectiveness of organization based on data findings to improve operations; Analyzes management information requirements to develop program or administrative reporting systems including the systems specifications, data gathering and analytical techniques, and systems evaluation methodology.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Perform work requirements to meet standard formatting, high-quality products, and submission timelines.
 </li>
 <li>
 Perform comparative analysis of multiple data sheets/data sources concurrently daily and provide reports on data discrepancies, abnormalities, deltas, and overall data integrity.
 </li>
 <li>
 Perform impact analysis on business requirements/processes to ensure alignment with the mission and training systems.
 </li>
 <li>
 Working within NETC N73 branch, provide guidance to NETC learning centers with Interactive Multimedia Instruction (IMI) content in troubleshooting, creating, and assisting with their eLearning content development.
 </li>
 <li>
 Validate curriculum data across Navy systems to ensure completeness, accuracy, consistency, and reliability.
 </li>
 <li>
 Create and deliver written reports, visualizations, dashboards, or data models based on data collected and analyzed using various tools such as MS Excel, Access, PowerPoint, Power Apps, Power BI, and SharePoint Online (SPO).
 </li>
 <li>
 Provide periodic user training for NETC training systems.
 </li>
 <li>
 Collect, categorize, and analyze data.
 </li>
 <li>
 Use data visualization software and other data tools to present findings.
 </li>
 <li>
 Provide business recommendations to stakeholders based on data analysis.
 </li>
 <li>
 Additional duties as assigned.
 
 
 </li>
 </ul>
 
 Employment Status
 
 
 
 Full-time (40 hours per week). Salaried. Exempt.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 2 years&rsquo; experience in database maintenance and development in education or training environments.
 </li>
 <li>
 Knowledge in developing and utilizing the Power Apps suite to design and implement custom workflows and dashboards to include task automation, multi-step approvals, data validation, and real-time reporting, with integration capabilities across tools such as SPO, Power BI, and Power Automate to drive efficiency, enhance collaboration, and support scalable solutions.
 </li>
 <li>
 Knowledge of and work with, on a daily/regular basis, NETC training systems and curriculum data development systems.
 </li>
 <li>
 Proficient in Microsoft Office software.
 </li>
 <li>
 Written and oral communication skills.
 </li>
 <li>
 Ability to read, interpret, organize, and synthesize source material into well-written, concise learning products.
 </li>
 <li>
 Ability to evaluate complex and disparate data sources, documents, and operational artifacts to derive actionable insights. Analyzes, synthesizes, and extrapolates knowledge to inform decision-making, identify trends, and propose innovative solutions aligned with organizational objectives.
 
 
 </li>
 </ul>
 
 Work Environment and Travel
 
 
 
 <ul>
 <li>
 This position is at Naval Education and Training Command (NETC) on Naval Air Station (NAS) Pensacola, FL. Qualified candidates should be local to Pensacola, FL, or surrounding areas to be considered for this position.
 </li>
 <li>
 Ability to lift items and/or equipment up to 50 lbs. on limited occasions.
 </li>
 <li>
 Travel up to 10% anticipated.
 
 
 </li>
 </ul>
 JANUS strives to provide opportunities for career growth through training and development. We also offer an attractive comprehensive benefit package to include health and welfare plans and financial products. As part of a total rewards program, employees can benefit from our referral bonus program, and other various employee awards. JANUS Research Group takes pride in our benefit package and rewards program which has earned us the certification of a
 
 Great Place to Work
 
 &trade;
 
 
 JANUS Research Group provides reasonable accommodation so that qualified applicants with a disability may participate in the selection process. Please advise us of any accommodations you request to express interest in a position by e-mailing: Judy Pagac, Chief Human Resources Officer at judy.pagac@janusresearch.us or calling (706) 364-9100. Please state your request for assistance in your message. Only reasonable accommodation requests related to applying for a specific position within JANUS Research Group will be reviewed at the e-mail address and phone number supplied. Thank you for considering a career with JANUS Research Group.
 
 
 JANUS Research Group participates in the Electronic Employment Verification Program. Please click the E-Verify link below for more information.
 
 
 
 E-Verify
 
 
 
 JANUS Research Group is an equal opportunity/ affirmative action employer. It is company policy to provide equal opportunity in all areas of employment practice without regard to race, color, religion, sex, sexual orientation, national origin, age, marital status, veteran status, citizenship, or disability.
 
 
 
 This contractor and subcontractor shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment qualified individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.
 
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Data Analyst - Curriculum

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