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>

Senior Data Scientist

Trideum Corporation

<div>Senior Data Scientist/Data Engineer 
Full-time 
Huntsville, AL
About Us
Trideum Corporation is a 100% employee-owned company, committed to embracing the world&rsquo;s toughest challenges with a servant&rsquo;s heart. Through dedicated hard work and commitment, we provide distinctive quality and unparalleled customer service in all aspects of our business. We also know that our employees are the key to our success, and it is our mission to take care of them so they can take care of our customers and communities where we live, work, and play.
Position Summary
The Senior Data Scientist/Data Engineer will play a pivotal role in establishing the foundation for data-driven decision-making and enterprise-wide data operationalization in support of the United States Army Space and Missile Defense Command (USASMDC). This position focuses on translating complex data into actionable insights that enable senior leadership to make well-grounded decisions regarding technology investments, pilot programs, and portfolio rationalization. The Data Engineer will design, build, and maintain the data ontology tools, dashboards, and data pipelines necessary to measure technical maturity, operational efficiency, and mission alignment across the organization.
As a core contributor to the enterprise operational data and analytics team, you will be responsible for creating real-time decision support system data ontology mapping and interfaces that provide granular visibility into performance, technology, and operational readiness. You will work closely with data scientists, software developers, systems evaluation engineers, mission personnel, and enterprise architects to ensure that all data is traceable from source to recommendation. This role is essential for equipping leadership with the objective scoring criteria, evaluation metrics, and comprehensive reports needed to continuously improve the technology landscape.
What You&rsquo;ll Do
Responsibilities include, but are not limited to:
<ul><li>Develop and maintain executive decision support products, including operational dashboards and artificial intelligence (AI) pipelines.</li>
<li>Build data pipelines and visualizations within enterprise platforms (such as Army Vantage) to provide real-time oversight of key metrics, including application usage, subscription consumption, and application programming interface (API) burn rates.</li>
<li>Design and implement comprehensive command-wide ontology and data dictionary for utilization across applications and analytic frameworks</li>
<li>Ensure strict data traceability from source data and assumptions through analyses to final recommendations.</li>
<li>Support the creation of a robust API flexible structure to integrate data flows and data sets from Programs of Record, Cloud-based Analytic Platforms, and Mission Systems.</li>
<li>Produce recurring monthly portfolio dashboards and comprehensive quarterly or annual reports.</li>
<li>Less than 25% travel may be required.</li>
</ul>
Requirements and Qualifications
<ul><li>Bachelor&rsquo;s Degree from an accredited school in a technical discipline (e.g., data science, engineering, mathematics, science, computer science, etc.).</li>
<li>Proven experience building operational dashboards and data visualizations that provide real-time decision support to senior leadership.</li>
<li>Strong expertise in developing data pipelines, including experience integrating data from various sources to track utilization, consumption, and financial metrics.</li>
<li>5+ years of relevant professional experience.</li>
<li>Expertise in languages like Python, R, and SQL; data visualization software like Tableau, Power BI, or Qlik; and data management platforms like ADVANA, Palantir Foundry, Databricks, Snowflake, and Azure Synapse Analytics.</li>
<li>Experience establishing data traceability methodologies to ensure a clear linkage between raw data, analyses, and final recommendations.</li>
<li>Ability to define objective scoring criteria, evaluation metrics, and key performance indicators (KPIs) for technology assessments.</li>
<li>Excellent written and verbal communication skills, with the ability to translate complex data into clear, actionable insights for non-technical stakeholders.</li>
<li>U.S. citizenship and an active Secret security clearance with the ability to obtain/maintain a Top Secret/Sensitive Compartmented Information (TS/SCI) clearance.</li>
</ul>
Desired Qualifications
<ul><li>Master&rsquo;s Degree from an accredited school in a technical discipline (e.g., data science, engineering, mathematics, science, computer science, etc.).</li>
<li>Experience working with Army Vantage or similar enterprise, cloud-based data platforms.</li>
<li>Familiarity with building artificial intelligence (AI) or machine learning pipelines for advanced analytics.</li>
<li>Previous experience supporting a Chief Technology Officer (CTO), Chief Data and AI Officer (CDAO), or similar executive-level function with enterprise-wide technology assessments.</li>
<li>Understanding of software lifecycle management, cloud computing integration, and modern development practices (e.g., DevSecOps).</li>
<li>Experience developing and maintaining infrastructure for data storage, data extraction, monitoring, and observability</li>
</ul>
We Take Care of Our People
Whether you&rsquo;re looking to launch a new career or grow an existing one, Trideum is the type of company where you can balance great work with great life because we believe that taking care of our people is the right thing to do. Trideum offers:
<ul><li>Competitive pay based on the work you do here and not your previous salary.</li>
<li>Traditional benefits such as medical, dental, vision, life, disability, and 401k matching.</li>
<li>Employee Stock Ownership Plan (ESOP).</li>
<li>Paid leave and the ability to cash out leave.</li>
<li>Free access to certified financial planners, wellness and support services, and discount programs.</li>
<li>Education assistance and professional development opportunities.</li>
<li>And much more.</li>
</ul>
Ready to Apply?
Start Your Application now!
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other characteristic protected by law. People with disabilities who need a reasonable accommodation to apply or compete for employment with Trideum may request such accommodation(s) by contacting Human Resources at 256.704.6123 or HR@trideum.com.</div>

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary 
The Senior Data Scientist within CVS Health is on the front line of driving innovation, directly impacting business decisions. This role is part of a team that works across the Pharmacy Benefits Management ecosystem building analytical cloud-based platforms, supporting pharmaceutical forecasting and pricing. You will have a chance to modernize legacy systems using cutting edge technology. You will work with teammates from our business groups, product management, data engineering, and application development, as well as with your peers from partner data science groups. This role will create analytics products that are a combination of software, data, and other digital tools providing insights and recommendations to business leaders making tactical and strategic decisions. The analytics products may leverage a combination of descriptive, predictive, and prescriptive analytics approaches. 
 
Required Qualifications<ul><li>
3 or more years of relevant analytic experience</li><li>
3 or more years of experience programming using R, Python, SQL</li><li>
3 or more years of experience with dimension reduction, machine learning, and statistical algorithms</li></ul> 
Preferred Qualifications<ul><li>
Advanced knowledge level for SQL</li><li>
3+ years of experience applying modern machine learning techniques to build predictive models for both classification and regression problems using python libraries such as scikit-learn, ml-lib, xgboost, keras etc.</li><li>
3+ years&rsquo; experience with general linear models, including regression techniques, ensemble models, etc.</li><li>
3+ years of experience coding in Python, including PySpark, pandas</li><li>
Experience with time series forecasting and causal modeling techniques</li><li>
Knowledge of full model development life cycle including EDA, feature engineering, data visualization, model development and deployment, forecast accuracy, model monitoring, model drift</li><li>
Experience with pharmaceutical or other healthcare domain with large administrative claims datasets including their associated code sets, terminologies, and ontologies</li></ul> 
Education<ul><li>
Bachelor&rsquo;s Degree in Data Science, Computer Science, Applied Mathematics, Operation Research, Statistics, Health Policy, or related field</li><li>
Preferred: Master&rsquo;s Degree in Data Science, Computer Science, Applied Math, Operation Research, Statistics, Health Policy, or related field</li></ul>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$83,430.00 - $203,940.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. 
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. 
Additional details about available benefits are provided during the application process and on Benefits Moments. 
We anticipate the application window for this opening will close on: 07/14/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Teradata

<div>Our Company
Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today.
The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment.
What You&rsquo;ll Do
<ul><li>What the role is about: As a Senior Data Scientist at Teradata, you will lead data science projects, develop predictive models, and provide actionable insights to support strategic business initiatives. You will leverage your expertise in data analysis, machine learning, and statistical modeling to drive impactful solutions.</li>
</ul><ul><li>What impact this role has: Your work will directly influence business decisions, optimize operations, and drive innovation. By uncovering trends and patterns in data, you will help Teradata stay ahead in the competitive landscape and deliver exceptional value to our clients.</li>
</ul><ul><li>What success might look like: Success in this role means delivering high-quality data science solutions that meet business needs, mentoring junior team members, and continuously improving our data science practices. You will be recognized for your ability to translate complex data into actionable insights and for driving measurable business outcomes.</li>
</ul>Who You&rsquo;ll Work With
<ul><li>An outline of the team: You will be part of a collaborative and dynamic data science team that works closely with data engineers, project managers, and business stakeholders both internally and externally. The team is dedicated to leveraging data to solve complex problems and drive business growth.
</li></ul><ul><li>The role and the team play at Teradata: The data science team at Teradata plays a crucial role in transforming data into strategic assets. Your contributions will help shape the direction of our data initiatives and ensure we deliver cutting-edge solutions to our clients.</li>
</ul><ul><li>Who the position reports to: This position reports to the Data Science Team Manager.</li>
</ul>What Makes You a Qualified Candidate
Non-negotiable qualifications:
<ul><li>Minimum of 5 years of experience in data science or analytics.</li>
</ul><ul><li>Proficiency in programming languages such as Python and SQL.</li>
</ul><ul><li>Strong understanding of statistical methods and machine learning techniques.</li>
</ul><ul><li>Proficiency in advanced deep learning algorithms and GenAI</li>
</ul><ul><li>Excellent communication and presentation skills.</li> 
</ul>
What You&rsquo;ll Bring
<ul><li>Data Analysis and Modeling: Perform complex data analysis and build predictive models using advanced statistical and machine learning techniques.</li>
</ul><ul><li>Project Leadership: Lead data science projects from conception to deployment, ensuring timely delivery and alignment with business goals.</li>
</ul><ul><li>Collaboration: Work closely with cross-functional teams, including data engineers, product managers, and business stakeholders, to understand requirements and deliver data-driven solutions.</li>
</ul><ul><li>Data Exploration: Explore large datasets to identify trends, patterns, and opportunities for business improvement.</li>
</ul><ul><li>Model Deployment: Implement and maintain machine learning models in production environments, ensuring scalability and performance.</li>
</ul><ul><li>Mentorship: Mentor junior data scientists and provide guidance on best practices and methodologies.</li>
</ul><ul><li>Communication: Present findings and insights to both technical and non-technical audiences, translating complex data into actionable recommendations.</li>
</ul><ul><li>Continuous Improvement: Stay up to date with the latest advancements in data science and machine learning and apply new techniques to improve existing processes.</li> 
</ul>
Why We Think You&rsquo;ll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
#LI-AB1</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>
ㅤ
ㅤ
ㅤ
ㅤ
&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

<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.
</div>

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(USA) Senior, Data Scientist