This Data Scientist III role will support financial forecasting and strategic planning capabilities for our US Supply Chain and US Retail Operations with machine learning, optimization, GenAI, and advanced analytics . Reporting to the Director of Supply Chain Finance Data Science, you will be responsible for understanding business problems, analyzing data, designing and implementing technical solutions, and providing insights and recommendations. You will collaborate with senior team members and business stakeholders to help redefine how our Finance Teams forecast and plan for our supply chain operations.
What you'll do:
Develop Insightful Solutions for financial forecasting and streamlining operational decision-making.
Provide Relevant Data Sources and Analysis for Finance Strategy Models for Supply Chain Operations by understanding business context, combining industry knowledge and market information specific to supply chain, logistics, and our retail businesses.
Use New Technology and Data Explanation Formats to improve finance processes.
Present Recommendations to Leadership with compelling narratives and thoughtful visualizations to gain their buy-in.
What you'll bring:
3+ years of experience in Data Science, Optimization, or Data Analytics, preferably with exposure to finance or supply chain operations within a large corporate environment.
Proficiency with coding (Python, Java, C++, etc.), querying large datasets, building data pipelines, providing data insights and solutions, and adhering to data quality standards.
Excellent communication skills – both written and verbal – with the ability to explain complex topics to non-technical audiences.
Strong problem-solving and analytical skills, with attention to detail and comfort navigating ambiguity.
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 .
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 $90,000.00-$180,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
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 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
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