Data Science Manager Jobs
Data Science Manager jobs are open across technology, finance, healthcare, and retail, at every level from senior individual contributor to principal and director, with specializations in machine learning, analytics engineering, and applied research. Find a role that fits from the openings below and apply directly.
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INTRODUCTION
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.
Rigorous evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo’s ambitious goals. In this role, you will lead a data science team specializing in evaluating the Waymo Driver’s ability to comply with rules of the road. Road rule-related behaviors are some of the most challenging to identify, and areas of work include understanding human baseline performance, partnering with ML engineers to improve detection capabilities, and delivering critical insight about the Driver’s current capabilities and opportunities for improvement.
In this hybrid role you will report to the DS Lead for Driving Quality.
ROLE AND RESPONSIBILITIES
You will:
- Define and uphold a high bar for measurement rigor. Ensure we can confidently rely on the evaluation signals informing deployment and scaling decisions. Identify and work to resolve any gaps where current evaluation signals are not scaling with Waymo’s business or providing the necessary actionability for stakeholders.
- Develop and adapt our evaluation framework to accommodate road rules across multiple countries.
- Collaborate with leads in product, engineering, and systems engineering to align to unlock key Waymo deployment milestones. Be an opinionated partner informing roadmaps for engineering work to improve our measurement capabilities.
- Measure performance of the Waymo driver in new territories and hardware platforms, providing input on Waymo’s readiness to scale in new markets. Communicate these findings to senior stakeholders.
- Be an active technical contributor on the team, as well as a technical lead and/or manager to several data scientists. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Champion data science excellence and provide constructive technical feedback within the team and across Waymo.
BASIC QUALIFICATIONS
You have:
- Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)
- Either a PhD in a quantitative field and 8+ years of industry experience, or 12+ years of industry experience solving data science problems.
- Experience as both a technical lead and a people manager.
- Experience working in highly cross-functional teams and championing data-driven culture.
- Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models
- Demonstrated knowledge of data analysis libraries and packages in Python, R, and/or SQL.
PREFERRED QUALIFICATIONS
We prefer:
- PhD in a quantitative field
- A demonstrated track record of independently driving data science projects to deliver business value
- Experience solving problems related to Autonomous Driving or Ride Hailing.
- Experience with large-scale evaluation frameworks for software development.
- Experience in adjacent relevant areas like Advanced Machine Learning, Traffic Modeling, Safety Evaluation or Prediction.
COMPENSATION
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
- Salary Range: $298,000—$368,000 USD
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
LOCATION
MOUNTAIN VIEW, CALIFORNIA, UNITED STATES
JOB TYPE
FULL-TIME
WORK ARRANGEMENT
HYBRID
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Find Data Science Manager JobsData Science Manager Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- CVS Health248

- Amazon102

- Walmart84

- Apple74

- Capital One71

Top Industries Hiring
- Technology & Software603
- Healthcare & Medical Services309
- Retail246
- Consulting & Professional Services208
- Banking & Financial Services158
What Employers Look For
The qualifications that appear most often in data science manager jobs.
- 5+ years of experience in data science or machine learning with at least 2 years managing a team
- Proficiency in Python or R and familiarity with SQL for data querying and analysis
- Experience deploying machine learning models in production environments at scale
- Ability to communicate data science findings clearly to non-technical executive stakeholders
- Experience working with cloud platforms such as AWS, GCP, or Azure
- Bachelor's or master's degree in statistics, computer science, mathematics, or a related quantitative field
Tips for Your Data Science Manager Job Search
Quantify your team leadership impact
Hiring managers for data science manager roles want to see how many data scientists you've managed, what projects you shipped, and what business outcomes resulted. Replace vague statements with numbers tied to team size, model performance, or revenue impact.
Tailor your resume to the stack
Many data science manager postings call out specific tools like Python, Spark, or dbt alongside cloud platforms. Mirror the exact tools named in each job description so your resume clears automated filters before a human ever reads it.
Apply early to roles that fit
Migrate Mate lists data science manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target companies with mature data teams
A data science manager role at a company with five data scientists is very different from one with fifty. Look for job descriptions that mention existing team structure, cross-functional partners, and data infrastructure, so you know what you're stepping into.
Prepare a technical leadership case study
Interviewers for data science manager roles routinely ask you to walk through a project end to end, covering how you set direction, unblocked your team, and communicated results to non-technical stakeholders. Prepare one detailed example before your first round.
Negotiate scope, not just compensation
When you get an offer, ask explicitly about team headcount, budget authority, and whether the role has input on hiring. These structural factors determine your ability to deliver, and they're often adjustable even when base compensation isn't.
Data Science Manager Jobs: Frequently Asked Questions
Which companies are hiring the most data science managers?
The companies hiring the most data science managers right now include CVS Health, Amazon, and Walmart, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of June 2026. Demand is concentrated in technology, financial services, and healthcare organizations that have scaled their data teams in recent years.
How many data science manager jobs are remote?
About 35% of data science manager openings are fully remote or hybrid as of June 2026, reflecting strong employer flexibility for senior technical leadership roles. Sub-areas focused on analytics engineering and machine learning platform work tend to have the highest share of remote-friendly postings compared to roles tied to embedded product teams.
How do you become a data science manager?
You typically move into a data science manager role by first building deep technical credibility as a senior data scientist, then taking on informal leadership like mentoring junior teammates or owning a cross-functional project. From there, expressing interest in people management to your director, volunteering to lead a small team during a product launch, and demonstrating you can translate data work into business outcomes are the most direct paths to a formal manager title.
Can you get hired as a data science manager without prior management experience?
Yes, some companies hire strong senior individual contributors into their first data science manager role, especially at startups or in teams building out a new function. The strongest candidates without formal management history show they've led projects, mentored others, driven cross-functional alignment, and influenced decisions above their official level, which signals readiness to take on direct reports.
What does the data science manager interview process look like?
The data science manager interview process typically includes an initial recruiter screen, a hiring manager conversation focused on your leadership philosophy and team experience, a technical assessment covering modeling or analytical judgment, a case study or take-home project, and a final panel with cross-functional stakeholders such as product, engineering, or finance partners. Some companies add a separate session specifically on how you've handled underperformance or built team culture.
Where can I find and apply to data science manager jobs?
You can find and apply to data science manager jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and specialization, then apply directly to each listing from the page.
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