Senior, Data Scientist
Position Summary...
What you'll do...
Position Summary: Join our OneDemand Forecasting organization as a Senior Data Scientist, where you'll play a key role in advancing demand forecasting and machine learning solutions. In this impactful position, you will:- Contribute to the development of intelligent, large-scale forecasting systems by designing and improving models that analyze data across numerous item, store, and location combinations.
- Collaborate with business, product, and engineering teams to align forecasts with operational priorities and key decision-making processes.
- Drive the application of advanced forecasting methods—ranging from statistical techniques to machine learning models—to improve accuracy, scalability, and explainability.
- Partner with engineering teams to enhance and scale forecasting platforms to address diverse business needs, granularities, and time horizons.
- Build and improve forecasting models to support demand planning across multiple levels, including item, store, and location.
- Experiment with and implement advanced ML/statistical techniques (e.g., regression, time series analysis, probabilistic modeling) to improve forecast accuracy.
- Collaborate with engineering teams to define feature pipelines, improve model training workflows, and deploy forecasts into production environments.
- Assist with prototyping new forecasting methods, such as ensembling models or incorporating deep learning architectures, under the guidance of senior team members.
- Integrate additional data sources (e.g., promotions, events, macroeconomic indicators) to enhance inputs for generating more accurate forecasts.
- Support the monitoring and evaluation of forecasting models, building dashboards and using SQL or Python to surface key results and detect anomalies.
- Work closely with business, product, and operations teams to ensure forecasts meet real-world requirements and are useful for decision-making.
- Participate in the maintenance of responsible AI practices, contributing to explainability, fairness, and data governance efforts.
- Stay up-to-date on the latest data science tools and technologies and propose new methods or tools to enhance the forecasting process.
- Foundational experience with machine learning, data analysis, or forecasting through 2+ years of professional experience (internship or industry) or relevant academic coursework/projects.
- Strong programming skills in Python and R, and experience with machine learning libraries/frameworks like Scikit-learn, TensorFlow, or PyTorch.
- Proficiency in SQL and experience working with large datasets or cloud computing environments (e.g., AWS, GCP, or Azure).
- Familiarity with time series forecasting techniques or interest in learning advanced techniques such as probabilistic models or deep learning.
- Ability to collaborate with interdisciplinary teams and translate business problems into data science solutions.
- Strong communication skills to visualize and explain analytical results to non-technical stakeholders.
- Experience with containerization (e.g., reputed company) or MLOps tools is reputed company to have but not required.
- Hands-on experience building and enhancing forecasting models that address real-world demand planning challenges.
- Opportunities to work on cutting-edge techniques and scalable projects, with mentorship from senior data scientists and machine learning experts.
- Exposure to a wide range of business scenarios, tools, and technologies that will expand your skills and accelerate your career growth.
- A collaborative, learning-focused environment where your contributions will have a direct impact on business outcomes.
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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 reputed company field and 3 years' experience in an analytics reputed company field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or reputed company field and 1 years' experience in an analytics reputed company field. Option 3 - 5 years' experience in an analytics or reputed company 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, reputed company, or R, Using open reputed company 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.