Staff Data Scientist

Sorry, this job was removed at 02:14 p.m. (CST) on Friday, Nov 15, 2024
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Sunnyvale, CA
Hybrid
192K-286K Annually
Big Data • Cloud • Logistics • Machine Learning • Retail
The Role

What you'll do...

Position: Staff Data Scientist

Job Location: 640 W. California Avenue, Sunnyvale, CA 94086

Duties: Process large scale Walmart datasets using distributed cloud computing technologies to measure, understand, and bring insight to our merchandise data. Build and maintain ML/DL model pipelines and services with a focus on data analytics. Responsible for end to end ownership and collaboration with product, engineering, vendors, and annotation partners to drive production ML application integrations and maintenance. Collaborate with other internal Walmart Data Science teams to enable high quality user experiences powered by AI/ML. Support business objectives by collaborating with business partners to identify opportunities to improve our high-priority initiatives. Collaborate with the Data Engineering team to gather the right information from our various sources. Conduct exploratory analysis including hypothesis testing, statistical inference, and statistical analysis.

Minimum education and experience required: Master’s degree or equivalent in Statistics, Economics, Analytics (any), Mathematics, Computer Science, Information Technology or related field and 2 years of experience in an analytics related field; OR Bachelor’s degree or equivalent in Statistics, Economics, Analytics (any), Mathematics, Computer Science, Information Technology or related field and 4 years of experience in an analytics related field.

Skills required: Experience processing and building scalable ETLs using distributed cloud computing technologies including Spark, Presto, and BigQuery. Experience building and maintaining ML/DL model pipelines using ML workflows. Experience conducting exploratory analysis on large scale datasets using distributed computing technology PySpark. Experience designing bi-variate and multi-variate A/B experiments and hypothesis tests. Experience conducting statistical inference, statistical analysis, and quasi-experiments using Python or R. Experience coding in object-oriented programming language including Python or Scala. Experience using scripting language including Bash or Python. Experience with SQL database design by utilizing Stored Procedures CTEs, UDFs, Temp tables, and Window Functions. Experience with data strategy for data pipelines and data products. Experience writing unit and integration tests and contributing to engineering wiki and documents work. Employer will accept any amount of experience with the required skills.

Salary Range: $191,699/year to $286,000/year. Additional compensation includes annual or quarterly performance incentives. Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) and Stock equity 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.

Wal-Mart is an Equal Opportunity Employer.

#LI-DNI #LI-DNP

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HQ: Bentonville, AR
578,950 Employees

What We Do

Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.

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