Senior Data Scientist

Walmart Canada

• $144K — $234K *
Retail & Consumer Goods
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in relevant field or equivalent experience; 1 year of analytics experience, or Bachelor's degree with 3 years of experience
  • Experience with machine learning techniques including regression, classification, and deep learning
  • Proficiency in Python and Bash scripting for development
  • Hands-on experience with big data tools like Hive and Spark
  • Familiarity with cloud platforms (GCP) and container orchestration (Kubernetes)
  • Ability to manage relational databases using SQL
  • Experience in research and publishing findings

Responsibilities

  • Develop sophisticated modeling systems for innovative business solutions in eCommerce
  • Design, implement, and deploy advanced statistical models for scalability
  • Perform predictive modeling and apply statistical techniques for data analysis
  • Build advanced statistical models to evaluate trends and data relationships
  • Utilize modern methods for processing large datasets with Spark and Hadoop
  • Collaborate with cross-functional teams on product goals
  • Communicate technical concepts and present findings at conferences

Benefits

  • Comprehensive health benefits including medical, vision, and dental coverage
  • 401(k) plan with company matching and stock purchase options
  • Paid time off including parental leave and bereavement
  • Short-term and long-term disability coverage
  • Education assistance for college degrees and company discounts
  • Reimbursement for adoption expenses and military service pay
  • Performance-based incentives for additional compensation
Full Job Description
What you'll do...

Position: Senior Data Scientist

Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089

Duties: Develop sophisticated modeling systems to drive innovative business solutions for Walmart eCommerce, especially in the areas of personalization, marketing, and recommendations. Design, implement, and deploy advanced statistical models and scale them for multiple tenants. Perform predictive modeling and quantitative analysis and apply statistical techniques. Build advanced statistical/analytical models to evaluate trends and significant data relationships. Utilize modern methods for parallelized processing of large, distributed datasets (e.g., Spark, Hadoop, MapReduce). Collaborate in a fast-moving cross functional environment with the ability to collaborate with other teams over common product goals. Communicate technical concepts to articulate ideas, architectural design and understanding, explainability of results, and present work at reputed conferences.

Minimum education and experience required: Master's degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any), or related field and 1 year of experience in an analytics related field; OR Bachelor's degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any), or related field and 3 years of experience in an analytics related field.

Skills required: Experience with machine learning techniques, including Regression, Classification, Ensemble Methods, and Deep Learning. Experience with development using Python and Bash Scripting. Experience designing and implementing end-to-end deep learning systems with PyTorch and Keras. Experience with big data processing and management using Hive and Spark. Experience with data visualization using Matplotlib and Seaborn. Experience with cloud platforms, including Google Cloud Platform (GCP) for cloud-based development and Kubernetes for container orchestration. Experience with version control and collaboration tools: GitHub and Jira. Experience analyzing and managing relational databases using SQL. Experience conducting research and publishing findings. Employer will accept any amount of graduate coursework, graduate research experience or professional experience with the required skills.

Salary Range: $144,402/year to $234,000/year. Additional compensation includes annual or quarterly performance incentives.

Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. 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, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com.

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