Principal Data Scientist

Walmart

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Sunnyvale, CAHoboken, NJ
Salary
$143,000–$286,000 / yr
Posted
81 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $159k
This role $214k
$92k most similar roles pay here $307k

This role pays more than 87% of similar roles. Most pay $126,800–$190,405 — the shaded band above. At the midpoint, this role pays about $214k versus about $159k for comparable roles.

Based on 239 similar postings.

Employer

About Walmart

Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail

Walmart currently has 184 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 180 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Principal Data Scientist

(USA) Principal, Data Scientist will join the data science team within the Marketplace engineering organization to build machine learning products for third-party seller operations. The role involves consulting with stakeholders on algorithm-based recommendations, leading multiple complex ML projects, and guiding other data scientists across various sub-domains. You will translate business requirements into technical strategies, manage model evaluation metrics, and ensure the deployment of scalable solutions. Key responsibilities include driving innovation in MLOps practices and identifying opportunities for advanced machine learning applications. Required skills include proficiency in Python, R, PySpark, Scala, and big data platforms like Hadoop. Technical expertise is required in areas such as NLP, forecasting, graph ML, causal inference, and Gen-AI technologies including vector databases and LLM fine-tuning. The role utilizes tools like Google Cloud Platform, Vertex AI, Kubeflow, and GPU/CUDA for computational efficiency.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

See salary data

What you'll do

  • Consult with business stakeholders to develop algorithm-based recommendations into actionable business strategies.
  • Lead multiple complex machine learning products from initial conception through production and maintenance.
  • Guide and mentor other data scientists across various sub-domains to ensure timely delivery of ML products.
  • Identify complex business problems and translate them into technical requirements, initiatives, and project plans.
  • Drive efficiency in the domain by establishing best practices for MLOps, resource utilization, and code reusability.
  • Quantify and measure the business impact of all machine learning products using defined success metrics.
  • Develop and deploy scalable data science solutions using technologies like Python, Spark, and Google Cloud Platform.
  • Proactively identify opportunities for innovation in algorithms, processes, and end-to-end problem-solving methods.

What we're looking for

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
  • Master’s or Ph.D. degree in a relevant technical field is also accepted.
  • 10 to 15 years of relevant experience with at least 10 years as a data science technical lead.
  • Experience building solutions in areas like fraud prevention, forecasting, inventory management, and recommendation systems.
  • Proficiency in machine learning including classification, regression, NLP, graph ML, causal inference, and Gen-AI.
  • Proficiency in Python or R, along with experience in PySpark, Hadoop (Hive, Map Reduce), and GPU/CUDA.
  • Experience with cloud platforms such as GCP (Vertex AI, Kubeflow) or Azure.
  • Ability to lead multiple complex projects from conception through deployment and maintenance.

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