Mid Level Senior Staff Data Scientist Jobs
Mid level senior staff data scientist jobs go to practitioners ready to own projects end to end, translate complex findings into decisions, and guide junior teammates without waiting for direction. Openings lean toward 36% remote and hybrid work across Technology & Software, Banking & Financial Services, and Retail, with employers like Mulligan Funding, Waymo, and Walmart hiring at this level now.
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Showing 5 of 14+ Mid Level Senior Staff Data Scientist jobs
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.
This role follows a hybrid work schedule and you will report to the Director of Product Data Science.
You will:
In order to expand our service to larger territories and to multiple cities, we need quantitative frameworks to acquire the right type of infrastructure (chargers, parking lots, depots) in the right places at the lowest cost, and optimize the efficiency of existing infrastructure. This role is responsible for:
- Building and maintaining data science models to help make data driven infrastructure decisions
- Design and implement quantitative measurement frameworks to assess the efficiency of our infra footprint and identify areas for improvement
- Collaborate with XFN partners on Supply Operations to ensure we consider the relevant business and product context alongside the model output to make the best decisions for Waymo
You have:
Solid background and applied work experience in operations research, optimization, or supply chain
Master's degree in a highly quantitative field (e.g., Operations Research, Optimization, Supply Chain, or a related discipline)
We prefer:
Ph.D. in Operations Research, Optimization, Supply Chain, or a related quantitative field
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.
This role follows a hybrid work schedule and you will report to the Director of Product Data Science.
You will:
In order to expand our service to larger territories and to multiple cities, we need quantitative frameworks to acquire the right type of infrastructure (chargers, parking lots, depots) in the right places at the lowest cost, and optimize the efficiency of existing infrastructure. This role is responsible for:
- Building and maintaining data science models to help make data driven infrastructure decisions
- Design and implement quantitative measurement frameworks to assess the efficiency of our infra footprint and identify areas for improvement
- Collaborate with XFN partners on Supply Operations to ensure we consider the relevant business and product context alongside the model output to make the best decisions for Waymo
You have:
Solid background and applied work experience in operations research, optimization, or supply chain
Master's degree in a highly quantitative field (e.g., Operations Research, Optimization, Supply Chain, or a related discipline)
We prefer:
Ph.D. in Operations Research, Optimization, Supply Chain, or a related quantitative field
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Find JobsMid Level Senior Staff Data Scientist Job Market
Who's Hiring
- Mulligan Funding3
- Waymo2
- Walmart2
- St. Jude Children's Research Hospital2
- UKG1
Top Industries Hiring
- Technology & Software4
- Banking & Financial Services4
- Retail3
- Consumer Goods2
- Healthcare & Medical Services2
Mid Level Senior Staff Data Scientist Jobs: Frequently Asked Questions
How do I get a mid level senior staff data scientist job?
Position yourself around ownership, not just contribution. Highlight projects where you drove the analytical approach, made modeling decisions independently, and delivered outcomes that influenced the business. Strong applications demonstrate experience with production-grade work, cross-functional collaboration, and the ability to communicate findings to non-technical stakeholders. Tailoring your resume to show scope and impact, rather than task completion, is what separates mid level candidates from junior ones.
Which companies hire mid level senior staff data scientists?
Companies hiring mid level senior staff data scientists right now include Mulligan Funding, Waymo, and Walmart, based on current listings on Migrate Mate as of June 2026. Hiring at this level covers established enterprises with mature data platforms and growth-stage companies building out their data science functions for the first time.
Are there remote mid level senior staff data scientist jobs?
Yes, remote and hybrid options are widely available at this level. About 36% of mid level senior staff data scientist openings are remote or hybrid as of June 2026, reflecting how broadly distributed data science work has become across U.S. employers. Filtering by work setting on Migrate Mate lets you narrow to the arrangement that fits your situation.
How do I move up to a mid level senior staff data scientist role?
The move from entry level to mid level comes from deepening specialization and building a record of independent delivery. Focus on taking ownership of features or analyses rather than working through assignments, developing fluency in production tools and pipelines, and demonstrating measurable impact on business outcomes. Mentoring peers and contributing to team decisions, even informally, signals the readiness that hiring managers look for in mid level candidates.
Which industries hire the most mid level senior staff data scientists?
Mid Level senior staff data scientist roles concentrate in Technology & Software, Banking & Financial Services, and Retail, based on current listings on Migrate Mate as of June 2026. These sectors drive hiring at this level because they combine large data volumes with genuine pressure to turn analysis into business decisions, creating sustained demand for practitioners who can work with meaningful autonomy.