Staff Data Scientist

Walmart

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Quick summary

Work type: On-site
Location: Bentonville, AR
Salary: $110,000–$220,000 / yr
Employment: Full-time
Posted: 4 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k

This role $165k

$96k $239k

below market most similar roles pay here above market

This role pays more than 50% of similar roles. Most pay $162,000–$214,500 — the blue band above. At the midpoint, this role pays about $165k versus about $188k for comparable roles.

Based on 240 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 825 open roles on FindRole.

Listed pay typically runs $121,000–$242,000 across 473 roles with salary data.

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At a glance

TL;DR · Staff Data Scientist

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As a (USA) Staff, Data Scientist, you will join a multidisciplinary team of engineers and analysts to develop enterprise-scale machine learning systems. Your primary responsibility involves identifying and sourcing data from various business domains to build, validate, and tune predictive models. You will perform data quality assessments, deploy models into production environments, and create visualizations to communicate insights to stakeholders. The role requires proficiency in Python, Spark, Scala, or R, along with experience using open-source frameworks like scikit-learn, tensorflow, and torch. You will also utilize Matplotlib, Plotly, or Tableau for data storytelling. This position specifically addresses the technical challenge of extracting and processing product attributes to ensure accurate taxation across all sales channels for every customer transaction and receipt.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

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Skills

Python Machine Learning MLOps Spark Scala R TensorFlow scikit learn Tableau Matplotlib Plotly Natural Language Processing Predictive Analytics Statistical Modeling Data Visualization Data Governance

What you'll do

Identify and source relevant data from multiple business domains and databases.
Conduct data quality assessments to ensure integrity for accurate modeling.
Develop, validate, and tune predictive models using advanced machine learning techniques.
Design and implement data visualizations to communicate insights to stakeholders.
Translate complex business problems into scalable, data-driven AI applications.
Deploy and monitor models in production environments to ensure performance and scalability.
Mentor team members on analytical methods, coding best practices, and data storytelling.

What we're looking for

Option 1: Bachelor's degree in a quantitative field and 4 years of experience in an analytics related field.
Option 2: Master's degree in a quantitative field and 2 years of experience in an analytics related field.
Option 3: 6 years of experience in an analytics or related field.
Proven expertise in predictive analytics, machine learning algorithms, and advanced statistical modeling techniques.
Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau.
Experience with model assessment, validation, deployment, and scaling in production environments.
Knowledge of MLOps, automation, and natural language processing applications.
PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics (preferred).

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