Walmart

Staff, Data Scientist

Walmart$110K — $220K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in advanced analytics for business problem-solving
  • Expertise in developing data science models and leading projects
  • Strong understanding of causal relationships in data
  • Proficient in coding languages: Java, C++, Python, Spark, Scala, R
  • Strong SQL skills for data manipulation and querying
  • Familiarity with data warehouses (BigQuery) and cloud platforms (GCP, Azure)
  • Experience in MLOps and deploying machine learning models

Responsibilities

  • Model complex business problems using advanced analytics techniques
  • Design and implement frameworks for causal inference
  • Collaborate with data engineers to preprocess and optimize data
  • Deploy and maintain machine learning models in production
  • Work closely with team members to translate business needs into solutions
  • Communicate model insights effectively to stakeholders
  • Mentor junior associates in analytics and data science techniques

Benefits

  • Medical, vision and dental coverage
  • 401(k) plan with company match
  • Paid time off includes sick leave, parental leave, and family care leave
  • Short-term and long-term disability insurance
  • Company discounts and military leave pay
  • Adoption and surrogacy expense reimbursement
  • Live Better U education benefit program covering training and tuition
Full Job Description
Position Summary...

What you'll do...
We are looking for a Staff Data Scientist to join Decision Sciences team. As a Staff Data Scientist, you will be responsible for modeling complex business problems and discovering insights through machine learning, statistical modeling, simulation, and optimization that empower our customers across Walmart to make data-driven decisions. You will drive data science partnership across US, Costa Rica, and India locations. You will be tasked to set goals, create a strategy, and closely collaborate with Data Analytics, Data Engineering, Data Governance teams and business stakeholders to deliver best-in-class analytical tools and solutions.

What You'll Do
  • Model Development: Applying sophisticated data science and advanced analytics models such as machine learning, statistical modeling, simulation, and optimization to produce valuable insights that guide decision-making and enhance business outcomes.
  • Designing and implementing causal inference frameworks to measure the true impact of business changes and inform decision-making.
  • Data Engineering: Collaborating with data engineers to preprocess, clean, and structure data for model training and evaluation. Ensuring data pipelines are optimized for efficiency and accuracy.
  • Machine Learning Operations (MLOps): Deploying and maintaining machine learning models in production environments, ensuring reliability and scalability.
  • Collaboration: Working closely with data scientists, data engineers, software engineers, product, and business stakeholders to understand requirements and translate them into technical solutions.
  • Communication: Engaging in effective communication with business stakeholders regarding model insights and the strategic importance of advanced analytics.
  • Mentorship: Guiding and mentoring junior associates on story types, structures, and techniques based on context.


What We're Looking For
  • 5+ years of experience in utilizing advanced analytics to solve business problems, with a focus on understanding causal relationships
  • Demonstrated expertise in developing advanced data science models and leading data-driven projects from conception to implementation, driving and influencing project roadmaps.
  • Strong ability to translate business problems into causal frameworks and estimate impact
  • Proficient coding in one or more languages: Java, C++, Python, Spark, Scala, or R
  • Strong proficiency in SQL for data manipulation and querying.
  • Proficient with data warehouse like BigQuery and cloud platforms (GCP, Azure).
  • Experience in MLOps and deploying/managing machine learning models.
  • Exceptional analytical and problem-solving skills, with the ability to think strategically and innovatively.
  • Excellent verbal and written communication skills, with the ability to present complex technical concepts to diverse audiences.
  • Track record of successfully interacting with business stakeholders and driving productive conversations.
  • Experience mentoring junior operations research or machine learning scientists.

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 duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

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 $110,000.00 - $220,000.00

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include :

- Stock








Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 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, 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...

802 Respect Dr, Bentonville, AR 72716, United States of America

About Walmart

WalmartLabs is accelerating their development to redefine the shopping experience to meet the changing needs of our customers wherever they are —in a store, on our website, or on their mobile device.

Walmart Careers

Joining Walmart means becoming part of a world-renowned team that leads with innovation and is committed to creating impact. As the largest retailer globally, Walmart offers unparalleled job opportunities and career growth in an environment that values diversity and leadership. Work You’ll Do At Walmart, you will be part of a dynamic team that drives our mission to help people save money so they can live better. Engage in work that matters with a company that offers both stability and the flexibility to explore different career paths. Transform the retail landscape with your skills and help shape the future of millions of customers worldwide. Walmart is at the forefront of combining retail with advanced technology, making it an exciting place for professional growth and innovation. Lead with Us Step into a role that harnesses your potential and places you at the intersection of retail and technology. Walmart is not just a company; it's a community where you can develop your leadership skills and contribute to a culture that nurtures professional growth. Work with a diverse team of experts who bring a wealth of knowledge and experience to the table. Our commitment to diversity training ensures that all team members are valued and can thrive. Walmart Careers and Employment Opportunities We are continuously expanding our team to include enthusiastic professionals eager to drive change and make a significant impact. Explore a range of positions from entry-level to executive, each offering competitive benefits and the opportunity to advance. Innovate with Us Join Walmart and be part of a team that is dedicated to innovation and excellence. With over 2.3 million associates worldwide, you are joining the largest private employment group, ready to innovate, lead, and impact the global market. Internship Programs Kickstart your career with a Walmart internship. Gain invaluable experience, build your resume, and develop networking connections that will empower your career journey. Our internships provide a platform to apply your academic knowledge in real-world scenarios, preparing you for future employment. Be Part of a Great Team At Walmart, our team is our strength. We invest in our employees through robust training programs, leadership development, and opportunities for career advancement. Enjoy the benefits of working in a supportive and inclusive environment where every member’s contribution is valued. Future-Proof Your Career Your journey at Walmart can be as vast as your ambitions. With endless opportunities to grow, learn, and lead, you can take your professional experience to new heights. Benefit from our comprehensive training programs and develop the skills needed for tomorrow’s challenges. Stay Connected Join Our Team Search open positions that match your skills and interests. We are looking for passionate, curious, creative, and solution-driven team players. Explore the diverse job opportunities at Walmart and find where you can make a difference. Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. READ CAREERS BLOG Job Alert Emails Personalize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding opportunities that await at Walmart. SEARCH WALMART JOBS Join Walmart today and be part of a story of growth, innovation, and leadership.
Learn more about Walmart
Size
2,300 employees
Market Cap
$387 billion
Industry
Net Income
$13.5 billion
Founded
1962
5 Year Trend
+3.3%
Revenue
$559.1 billion
NASDAQ

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