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Distinguished, Data ScientistWalmart • United States
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Distinguished, Data Scientist

Walmart
  • US
    United States
  • US
    United States
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Über

Position Summary...
What you'll do...
As a Distinguished Data Scientist in the Marketplace data sciences team, you'll have the opportunity to:
Drive innovative strategic solutions for Marketplace utilizing advanced SOTA AI and ML solutions at large scale and at accelerated pace.
Drive data-derived insights by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
Work closely with Directors, Sr. Managers of Data Science, and leaders of Architecture, Engineering, Product & business teams to drive the Organizational strategy around Marketplace.
Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals
Mentor and guide a set of Data Scientists, Data Analysts across IDC and US to drive Marketplace growth and operation efficiency using advanced Machine Learning and Gen AI.
Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights
Build and train AI/ML models for replication for future projects
Deploy and maintain the data science solutions
Communicate recommendations to business partners and influence future plans based on insights
Position Responsibility
Consult with product/business stakeholders on algorithmic recommendations and translate insights into actions.
Lead and mentor domain data science teams to deliver ML products on time.
Collaborate cross-functionally to drive end-to-end content improvement.
Research and develop innovative content-improvement solutions leveraging multilingual and multimodal foundation models.
Identify complex business opportunities solvable with advanced ML/Computer Vision; evaluate and prioritize business cases.
Define success criteria, deliverables, and KPIs; quantify and track business impact of ML products.
Establish model evaluation/testing standards and documentation; guide deployment via MLOps best practices.
Communicate recommendations, influence partners globally, and drive innovation while upholding company values and ethics.
Qualifications
Bachelor's with > 20 years, Masters > 17 years OR Ph.D. in Comp Science/Statistics/Mathematics with > 14 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area.
Experience of acting as a tech lead for > 10 years
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds 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 its 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 connection rooted in deepening understanding and investing in the development of our associates.
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.
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 (https://one.walmart.com/) .
The annual salary range for this position is $156,000.00 - $312,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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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 6 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 4 years' experience in an analytics related field. Option 3: 8 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, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.
Primary Location...
10900 Ne 4th St, Bellevue, WA 98004, 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.
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 diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
  • United States

Sprachkenntnisse

  • English
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