SeniorDataScientist Decision Sciences

We are looking for aSeniorData Scientistto joinDecision Sciencesteam. As aSeniorData Scientist, you will be responsible formodeling complex business problemsand discovering insights throughmachine learning, statistical modeling, simulation, and optimizationthatempowerourcustomersacrossWalmartto make data-driven decisions.You will drive data science partnership acrossUS, CostaRica,and India locations.You willbe taskedto set goals, create a strategy,and closely collaborate withDataAnalytics,DataEngineering,Data Governance teams and businessstakeholders to deliver best-in-classanalytical tools and solutions.

What Yous 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 meaningfuland explainablefeatures 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 Wer 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 likeBigQueryand 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 inMLOpsand 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.