Senior, Data Scientist (Pricing)

Senior, Data Scientist (Pricing) Walmart

• 3.4 Sunnyvale, CA Job Details $117,000
• $234,000 a year 12 hours ago Benefits Paid jury duty Paid parental leave Employee stock purchase plan Disability insurance Health insurance Dental insurance 401(k) Military leave Paid time off Adoption assistance Family leave Parental leave Vision insurance 401(k) matching Life insurance Paid sick time Qualifications AI models Big data projects Automation Spark AI platforms (beyond public GPTs) Scalable systems Computational framework SQL Machine intelligence Cloud-based systems Model deployment Scalability Model training Machine learning libraries Project Development Research findings presentation Machine learning frameworks Python Data analysis software Full Job Description Position Summary.

.. What you'll do... Job Description Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship. About the

Role:

If you are a seasoned Data Scientist with a proven track record of driving business impact through data-driven insights & strong background in leading Deep Learning & Operations Research related projects, this role is for you. We are looking to hire a candidate that holds Ph.D/Masters in Data Science and has a strong industry experience in solving deep learning, reinforcement learning and optimization problems. The candidate will be responsible for building complex, cutting edge, and scalable algorithms for optimization related initiatives in the Pricing domain. Further, the candidate will also be responsible to provide transparency on algorithmic recommendations that drive adoption and revenue impact. About the

Team:

The Applied AI team researches and develops algorithms that power areas like supply chain, pricing, assortment optimization, replenishment, store layout, etc. You will be working closely with other data scientists, machine learning engineers, operations research scientists and data analysts within the team as well collaborate with business teams, product managers, corporate strategists, software engineers and data engineers. We work with various techniques primarily from forecasting, operations research and often make use of techniques from machine learning (classical machine learning, deep learning, reinforcement learning), causal inference and statistics. Our work is innovative and is published in top tier conferences and journals.

What You'll Do:

Develop cutting-edge Price Elasticity and Price Recommendation algorithms Develop efficient models scalable to hundreds of categories, thousands of stores at Walmart Provide transparency on algorithmic recommendations that drive adoption and revenue impact Prepare accurate data for the models to efficiently learn signals and eliminate noise Prepare thorough documentation of the developed frameworks

What You'll Bring:

Sound knowledge of Python, SQL, PySpark, Machine Learning libraries, Big Data processing systems in cloud environment is expected Hands on experience with building Optimization/Reinforcement Learning models for multiple objectives Holds an MS/PhD in relevant technical degree (preferably Computer Science, Machine Learning, Operations Research, Applied Mathematics, Statistics, Engineering etc.) with 4+ years of relevant work experience A track record of building ML models or delivering impactful customer-facing products A track record of training and deploying vision models at scale (millions of classes, high-variance datasets) A business analytical mind with the ability to communicate with consumers of the model and present results in intuitive ways Experience analyzing data to identify patterns and conducting error/deviation analysis; passion for fixing issues in the data and finding the optimal representation Ability to take a project from scoping requirements through actual launch A continuous drive to explore, improve, enhance, automate, and optimize models and products Excellent oral and written communication skills

Preferred Experience and Qualifications:

Pricing background is strongly preferred Ph.D or Masters degree in Data Science strongly preferred Professional experience working with reinforcement learning models

About Walmart Global Tech:

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart's culture is a competitive advantage, and it's fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connections rooted in deepening understanding and investing in the development of our associates.

Benefits:

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer:

Walmart, Inc. is an Equal Opportunity Employer

• by choice.

We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full job description can be made available as part of the hiring process. #LI-onsite 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. Sunnyvale, California

US-11656

The annual salary range for this position is $117,000.00

• $234,000.

00 Bentonville, Arkansas

US-09158

The annual salary range for this position is $90,000.00

• $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : Stock ㅤ ㅤ ㅤ ㅤ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1
• Bachelor'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'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'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's accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 1375 Crossman Ave, Sunnyvale, CA 94089-1114, 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.