Data Scientist Lead

16 hours ago


Reston, Virginia, United States Walmart Full time
Job Description:

We are seeking a highly skilled Data Scientist Lead to join our team at Walmart Global Tech. This is an exciting opportunity for a seasoned professional with a strong background in data science, machine learning, and leadership.

The successful candidate will be responsible for leading high-caliber teams to build large-scale time series forecasting systems. They will integrate global forecasting models to enhance precision and generate synthetic time series data for better model training. Additionally, they will develop data science systems and tools for retail and e-commerce applications, leveraging LLMS to summarize and build large-scale chat applications.

This role requires a master's degree or PhD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, along with 5 years' experience in an analytics-related field. The ideal candidate will have deep understanding of neural networks, attention architecture, and other DL and ML concepts. Familiarity with statistical models, such as linear models, generalized linear models, experiment design, and testing, is also essential.

The estimated salary range for this position is $132,000.00-$264,000.00, with additional compensation including annual or quarterly performance bonuses. Benefits include a competitive pay package, paid maternity and parental leave, PTO, multiple health plans, and more.

In this role, you will work closely with cross-functional teams, such as engineering and product teams, to drive efficiency, accuracy, and impactful outcomes in financial operations. You will collaborate with various product stakeholders and business owners to formulate and productionize solutions. With your expertise in data science, machine learning, and optimization models, you will help us make data-driven decisions and drive business growth.

We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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