As a Staff Data Scientist for Walmart Global Tech, you'll have the opportunity to Drive data-derived insights across a wide range of retail ; Finance divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals
Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights
Build and train AI/ML models for replication for future projects
Deploy and maintain the data science solutions
Communicate recommendations to business partners and influence future plans based on insights
Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
Closely partners with the Senior Manager ; Director of Data Science to drive data science adoption in the domain
Guides. data scientists, senior data scientists ; staff data scientists across multiple sub-domains to ensure on-time delivery of ML products
Drive efficiency across the domain in terms of DS and ML best practices, ML Ops practices, resource utilization, reusability and multi-tenancy.
Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products.
Drive synergies across different products in terms of algorithmic innovation and sharing of best practices.
Proactive identification of complex business problems that can be solved using advanced ML, finding opportunities and gaps in the current business domain
Evaluates proposed business cases for projects and initiatives
What You Will Bring
Masters with > 10 years OR Ph.D. with > 8 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area.
Minimum 6 years of experience as a data science technical lead
Ability to lead multiple data science projects end to end.
Deep experience in building data science solution in areas like fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment and price optimization
Deep experience in simultaneously leading multiple data science initiatives end to end from translating business needs to analytical asks, leading the process of building solutions and the eventual act of deployment and maintenance of them Strong experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation ; Gen-AI
In Gen-AI, it is desirable to have experience in embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance.
Ability to scale and deploy data science solutions.
Strong Experience with one or more of Python and R.
Experience in GCP/Azure
Strong Experience in Python, PySpark
Google Cloud platform, Vertex AI, Kubeflow, model deployment
Strong Experience with big data platforms Hadoop (Hive, Map Reduce, HQL, Scala)
Experience with GPU/CUDA for computational efficiency
Minimum Qualifications...
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.
Job Classification
Industry: RetailFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full time