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This listing doesn't post a salary. Most similar roles pay
$135,000–$184,900.
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
986 open roles
on FindRole.
Listed pay typically runs
$117,000–$220,000
across 536 roles with salary data.
The Data Scientist III joins a large data analytics project team to develop analytical models that drive insights and business actions. This role involves gathering data from internal and external sources, synthesizing large datasets, and developing statistical models and computational algorithms to analyze data. Key responsibilities include coding, testing, and maintaining analytical software tools, identifying trends and discrepancies, and building a library of reusable algorithms. The candidate will utilize Python for object-oriented programming, machine learning solutions, and feature engineering. Technical requirements include SQL development for ETL processes, distributed computing frameworks, and AzureML cloud environments. Additionally, the role requires experience with BI tools, version control, exploratory data analysis, cohort analysis, and causal inference methods to help cross-functional teams develop platforms from prototyping to production.
What does a Data Scientist earn in California?
Median $214500 from 116 postings across 27 companies.
Develop statistical models and computational algorithms to analyze data from internal and external sources.
Code, test, and maintain analytical software tools using Python and SQL.
Build and maintain a library of reusable algorithms and documented code for future projects.
Create ETL processes and utilize distributed computing frameworks for large-scale data processing.
Perform exploratory data analysis, cohort analysis, and causal inference to drive business impacts.
Translate data insights into actionable business recommendations for key stakeholders.
Coach and mentor analysts across the division and project teams.
Help cross-functional teams develop platforms from initial prototyping to production.
What we're looking for
Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, IT, Data Science, or a related field.
Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, IT, Data Science, or a related field and 2 years of experience in an analytics or related field.
Experience coding in Python for building product POCs, machine learning solutions, and feature engineering.
Experience with SQL development, including ETL processes, complex queries, temp tables, window functions, and user-defined functions.
Experience with visualization data using BI tools and visualization libraries.
Experience with distributed computing frameworks and large-scale data processing for large volumes of data.
Experience with version control tools to build robust scripts.
Python
Machine Learning
Artificial Intelligence
Natural Language Processing
SQL
NoSQL
Hadoop
Hive
EMR
Kafka
Spark
MySQL
R
SAS
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