(USA) Staff, Data Scientist - E2E Data & Analytics, Center of Excellence

Walmart-posted 4 months ago
$110,000 - $220,000/Yr
Full-time • Senior
Bentonville, AR
General Merchandise Retailers
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The E2E Data & Analytics team provides comprehensive analytical solutions, empowering our business customers to make data-driven decisions in areas such as Supply Chain, Store Operation, Last Mile Delivery, and Innovation & Transformation. We offer measurable value to all stakeholders by delivering accurate and actionable insights that stimulate growth, enhance efficiency, and guide strategic planning. We are dedicated to staying at the cutting edge of data & technology, constantly offering innovative solutions that enhance the experience for both associates and customers. We are looking for a Staff Data Scientist to join E2E Data & Analytics team. As a Staff 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.

  • Applying sophisticated data science and advanced analytics models such as machine learning, statistical modeling, simulation, and optimization to produce valuable insights that guide decision-making and enhance business outcomes.
  • Collaborating with data engineers to preprocess, clean, and structure data for model training and evaluation.
  • Ensuring data pipelines are optimized for efficiency and accuracy.
  • Deploying and maintaining machine learning models in production environments, ensuring reliability and scalability.
  • Working closely with data scientists, data engineers, software engineers, product, and business stakeholders to understand requirements and translate them into technical solutions.
  • Engaging in effective communication with business stakeholders regarding model insights and the strategic importance of advanced analytics.
  • Guiding and mentoring junior associates on story types, structures, and techniques based on context.
  • 5+ years of experience in utilizing advanced analytics to solve business problems.
  • Demonstrated expertise in developing advanced data science models and leading data-driven projects from conception to implementation, driving and influencing project roadmaps.
  • 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).
  • Extensive 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.
  • Track record of successfully interacting with business stakeholders and driving productive conversations.
  • Experience mentoring junior operations research or machine learning scientists.
  • Data science, machine learning, optimization models, PhD 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).
  • Knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
  • Knowledge of accessibility best practices.
  • Health benefits include medical, vision and dental coverage.
  • Financial benefits include 401(k), stock purchase and company-paid life insurance.
  • Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
  • Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.
  • Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.
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