Principal, Data Scientist Bentonville, AR

(USA) Principal, Data Scientist job tonville, AR.

As a Principal Data Scientist for Walmart Global Tech, you will drive data‑derived insights across a wide range of retail and finance divisions by developing advanced statistical models, machine learning algorithms, and computational algorithms based on business initiatives. You will lead data science adoption, guide teams, develop AI/ML products, and influence future plans.

• Consult with business stakeholders regarding algorithm‑based recommendations and be a thought leader to develop these into business actions.
• Closely partner with the Senior Manager and Director of Data Science to drive data science adoption in the domain.
• Guide data scientists, senior data scientists, and 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.
• Proactively identify complex business problems that can be solved using advanced ML, finding opportunities and gaps in the current business domain.
• Evaluate proposed business cases for projects and initiatives.
• Translate business requirements into strategies, initiatives, and projects, align them with business strategy and objectives, and drive the execution of deliverables.
• Set relevant deliverables based on established success criteria and define key metrics to measure progress and effectiveness of the solution.
• Quantify business impact and ensure regular impact measurement of all ML products in the domain.
• Identify and review model evaluation metrics based on analytical requirements.
• Ensure testing information is documented and maintained by the team.
• Play a key role in solving complex problems pivotal to Walmart's business and driving actionable insights.
• Utilize a product mindset to build, scale, and deploy holistic data science products after successful prototyping.
• Demonstrate an incremental solution approach with agile and flexible ability to overcome practical problems.
• Articulate and present recommendations to business partners and influence plans based on insights.
• Partner and engage with associates in other regions to deliver the best services to customers around the globe.
• Work with a customer‑centric mindset to deliver high‑quality business‑driven analytic solutions.
• Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end‑to‑end problem solving.
• Proactively engage in the external community to build Walmart's brand and learn more about industry practices.
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

• Bachelor's, Master's, or Ph.D. with 10-15 years of relevant experience.
• Educational qualifications in Computer Science, Statistics, Mathematics, or a related area.
• Minimum 10 years of experience as a data science technical lead, leading multiple projects end‑to‑end.
• Deep experience in building data science solutions in fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment, and price optimization.
• Extensive experience in machine learning: classification, regression, NLP, forecasting, unsupervised, optimization, graph ML, causal inference, statistical learning, experimentation, and Gen‑AI.
• Experience in Gen‑AI embedding generation, retrieval from vector databases, LLM gateway provisioning, retrieval‑augmented generation, prompt engineering, fine‑tuning, monitoring, and governance.
• Strong experience with Python, R, PySpark; knowledge of GCP/Azure, Vertex AI, Kubeflow, Hadoop, Hive, Map Reduce, HQL, Scala.
• Experience with GPU/CUDA for computational efficiency.

• Option 1:
  Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience…