Position Summary...What you'll do...Senior Data Scientist - Decision SciencesWe are looking for a
Senior Data Scientist to join Decision Sciences team. As a Senior 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
- Forecasting & Predictive Modeling: Develop and implement forecasting models using statistical modeling, machine learning, and time-series techniques to support operational and strategic decision-making across Supply Chain networks.
- Feature Engineering & Model Improvement: Engineer meaningful and explainable features using business understanding and domain knowledge to improve forecasting accuracy, model performance, and scalability.
- Data Engineering: Extract, preprocess, clean, and validate large-scale structured and unstructured datasets from multiple internal and external data sources using SQL, Python, Spark, and cloud-based technologies.
- Experimentation & Validation: Design, evaluate, and monitor model performance using statistical validation techniques, back-testing methodologies, and experimentation frameworks to ensure reliability and business impact.
- 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: Support and mentor junior associates by providing guidance on analytical approaches, problem-solving techniques, and storytelling best practices.
What We're Looking For
- 3+ years of experience applying advanced analytics, forecasting, machine learning, or statistical modeling techniques to solve complex business problems.
- 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
- Demonstrated experience developing and deploying forecasting or predictive models using statistical and machine learning methodologies.
- 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).
- Strong analytical and problem-solving skills with the ability to frame ambiguous business problems into scalable analytical solutions.
- Experience leveraging data visualization and storytelling techniques to communicate insights and influence decision-making.
- 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.
- Experience collaborating effectively with cross-functional teams and business stakeholders.
- 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.
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...702 Sw 8Th St, Bentonville, AR 72716, United States of America
