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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Join our dynamic team at an innovative insurance software company! We are seeking a Professional Services Consultant with a strong background in analytics within the insurance industry, ideally holding ACAS or near-ACAS designation. In this role, you will be instrumental in supporting our clients’ usage of our software for data extraction and analysis, developing and reviewing statistical models, and implementing effective pricing strategies.
What you’ll do:
Develop and maintain predictive models to assess risk and customer demand, guiding pricing strategies across various lines of business.
Utilize machine learning techniques and programming languages such as Python and R to enhance analytics capabilities.
Communicate complex technical results clearly and effectively, tailoring presentations for diverse audiences.
Demonstrate software functionality and provide training to new users, ensuring a smooth onboarding process.
Requirements:
You’ll do it using:
Extensive experience in the insurance industry, specifically in analytics and predictive modeling.
Proficiency in machine learning methods and programming languages (Python and R).
Exceptional communication skills, with a knack for presenting technical information in an accessible manner.
Strong ability to engage clients and provide valuable insights through data analysis.
You’ll excel by:
Focusing on the art of the possible
Communicating with honesty, candour, and respect
Collaborating seamlessly with colleagues across the company
Being resourceful and creative
Acting with empathy
You’ll love it because:
This is an incredibly impactful role in the organization.
You will have the opportunity to work in a successful, fast-moving, mission-driven company.
You will have growth opportunities.
You will collaborate with other professional and enthusiastic team members.
Earnix has competitive benefits with an all-for-one mentality.
Salary Range:
$78,000-142,000 per year
Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.
Join our dynamic team at an innovative insurance software company! We are seeking a Professional Services Consultant with a strong background in analytics within the insurance industry, ideally holding ACAS or near-ACAS designation. In this role, you will be instrumental in supporting our clients’ usage of our software for data extraction and analysis, developing and reviewing statistical models, and implementing effective pricing strategies.
What you’ll do:
Develop and maintain predictive models to assess risk and customer demand, guiding pricing strategies across various lines of business.
Utilize machine learning techniques and programming languages such as Python and R to enhance analytics capabilities.
Communicate complex technical results clearly and effectively, tailoring presentations for diverse audiences.
Demonstrate software functionality and provide training to new users, ensuring a smooth onboarding process.
Requirements:
You’ll do it using:
Extensive experience in the insurance industry, specifically in analytics and predictive modeling.
Proficiency in machine learning methods and programming languages (Python and R).
Exceptional communication skills, with a knack for presenting technical information in an accessible manner.
Strong ability to engage clients and provide valuable insights through data analysis.
You’ll excel by:
Focusing on the art of the possible
Communicating with honesty, candour, and respect
Collaborating seamlessly with colleagues across the company
Being resourceful and creative
Acting with empathy
You’ll love it because:
This is an incredibly impactful role in the organization.
You will have the opportunity to work in a successful, fast-moving, mission-driven company.
You will have growth opportunities.
You will collaborate with other professional and enthusiastic team members.
Earnix has competitive benefits with an all-for-one mentality.
Salary Range:
$78,000-142,000 per year
Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.
Data Science Manager Jobs by Experience Level
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Find Data Science Manager JobsData Science Manager Job Market
Who's Hiring
- Amazon27
- Capital One27
- Information Technology Senior Management Forum18
- Deloitte15
- Meta14
Top Industries Hiring
- Technology & Software29
- Education21
- Retail8
- Insurance7
- Banking & Financial Services7
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 Amazon, Capital One, and Information Technology Senior Management Forum, with the largest share of openings in California, New York, and Virginia, based on current listings on Migrate Mate as of November 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 74% of data science manager openings are fully remote or hybrid as of November 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.
See All 750+ Data Science Manager Jobs
Find roles that match your experience and apply in just a few clicks.
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