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Manager Data Science Startup Jobs (NOW HIRING)

Expel

Manager, Data Science

$151K - $219K/yr

Proven track record leading and managing data science teams (4+ years), with strong coaching and mentoring skills * Ability to build trust quickly and sustain strong relationships with PM, Customer ...

OneMagnify

Manager, Data Science

Detroit, MI · On-site

As Manager of Data Science, you will lead a team of data scientists and analysts in delivering impactful, data-driven solutions. In this role, you will bridge strategy and execution-translating ...

Ahold Delhaize USA

Manager, Data Science

Chicago, IL · On-site

$136.16K - $204.24K/yr

OverviewThe Data Science Manager II will lead a team focused on delivering business insights using data science expertise/techniques/tools that materially improve critical decisions by senior ...

Michaels Stores

Manager - Data Science

Irving, TX

Support Center - Irving The Manager - Data Science role is critical in helping to determine which CRM tactics most effectively drive long-term value with our customers. The ideal candidate will ...

OneMagnify

Manager, Data Science

Detroit, MI · On-site

As Manager of Data Science, you will lead a team of data scientists and analysts to deliver impactful, data-driven solutions, bridging strategy and execution while ensuring technical excellence and ...

DoorDash

Manager, Data Science

San Francisco, CA · On-site

About the Role We're hiring two Data Science Managers, each to lead a pod within Merchant Analytics and help shape high-priority product and business decisions. In this role, you will lead a team of ...

OneMain Financial

Manager, Data Science

Charlotte, NC · Hybrid

Manager, Data Science Location: Charlotte, NC (Hybrid) We are seeking a Manager to join our Data Science team in Charlotte, NC. This is an exciting opportunity to develop and manage an integrative ...

OneMain Financial

Manager, Data Science

Charlotte, NC · On-site

Manager, Data Science Location: Charlotte, NC (Hybrid) We are seeking a Manager to join our Data Science team in Charlotte, NC. This is an exciting opportunity to develop and manage an integrative ...

Vangard, Inc.

Manager, Data Science

Malvern, PA

Ownscomplex data science initiativesto support data-driven business decision making.Designand deploy scalable AI/ML solutionsthat solve real business problems and drive measurable outcomes.

Vanguard Group

Manager, Data Science

Malvern, PA · On-site

Owns complex data science initiatives to support data-driven business decision making. Design and deploy scalable AI/ML solutions that solve real business problems and drive measurable outcomes.

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How much do manager data science startup jobs pay per year?

As of May 28, 2026, the average yearly pay for manager data science startup in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.
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Manager Data Science Startup jobs near you
Manager, Data Science

Manager, Data Science

Expel

Remote

$151K - $219K/yr

Full-time

Medical, PTO

Posted 23 days ago

Job description

You believe the most impactful data science comes from teams that are close to the problem - and you're energized by building those high-performing teams. At Expel, you'll lead a data science team doing R&D that shapes how we use machine learning, generative AI, and LLMs to protect our customers and make our humans better at their jobs. You'll work at the intersection of cutting-edge AI and real-world security operations, with access to unique data sets and a team that genuinely cares about doing it right.
You're comfortable talking technical depth with researchers and translating tradeoffs for product and business stakeholders. You coach people on their careers as naturally as you debate model architectures. You set clear expectations, remove blockers, and let your team do their best work - and you see enabling your team as the core of the role.
What Expel can do for you
  • Give you an environment where people, process, and purpose actually matter - not just as values on a wall
  • Connect you with cross-functional collaborators (PM, UX, D&R, Security, Engineering) who are genuinely invested in building great things together
  • Let you work on hard, meaningful problems - using AI to help defenders win
  • Offer unlimited PTO (that leadership models and encourages), up to 24 weeks of parental leave, and really excellent health benefits
  • Support your professional growth with a conference benefit and continuous learning opportunities
  • Offer work location flexibility, including remote from your home office
What you can do for Expel
Lead the team
  • Guide the data science team to work on small-to-medium scale, high-impact R&D projects - iterating fast, communicating status clearly, and coordinating delivery with stakeholders
  • Coach and develop your team through regular 1:1s, performance reviews, and career conversations; recruit and onboard new members with an eye toward team dynamics
  • Foster a culture of responsible AI, innovation, and technical excellence

Shape the strategy
  • Work closely with PM, UX, D&R, Security, and Engineering to contribute to product strategy, set delivery expectations, and engage in collaborative discussion about tradeoffs
  • Collaborate with peer teams to define Expel's generative AI and LLM strategy - identifying opportunities to leverage foundation models, new architectures, and agentic workflows
  • Engage in resource planning, technical decision making, and budget management in service of the product and technical roadmaps

Drive execution
  • Define clear, measurable milestones for research initiatives; monitor progress with data-driven metrics; communicate regularly with senior leadership
  • Contribute to and maintain responsible AI practices including model fairness, explainability, safety guardrails, and bias monitoring for production ML and LLM systems
  • Contribute to non-critical-path feature implementation, bug fixing, and technical design (no more than 25% of your time)

Build Expel's external voice
  • Partner with Marketing to develop blogs, papers, and talks on how Expel thinks about, applies, measures, and validates the use of ML, generative AI, and LLMs
  • Present internally and externally to both technical and non-technical audiences
What you should bring with you
Leadership & collaboration
  • Proven track record leading and managing data science teams (4+ years), with strong coaching and mentoring skills
  • Ability to build trust quickly and sustain strong relationships with PM, Customer Success, and engineering peers
  • Excellent project management, problem solving, and multitasking skills across remote/hybrid teams
  • You align with our Engineering Principles

Technical depth
  • Strong hands-on experience designing, deploying, and scaling ML solutions in AWS and/or GCP
  • Extensive Python experience, including transitioning exploratory models from Jupyter into production-ready code
  • Proficiency in Python data science frameworks (e.g., TensorFlow, PyTorch, Pandas, Scikit-Learn); expert-level depth in at least one area
  • Hands-on experience with generative AI and LLM frameworks such as LangChain, LlamaIndex, or the OpenAI/Anthropic SDKs
  • Experience with RAG pipelines, prompt engineering, and LLM evaluation
  • Familiarity with MLOps platforms (Vertex AI, SageMaker, or MLflow) and vector databases (Pinecone, Weaviate, pgvector)
  • Experience building or overseeing agentic AI workflows and multi-agent orchestration, ideally within AWS using Amazon Bedrock and AgentCore
  • Solid software engineering practices: Git, CI/CD, code review, testable code

Education
  • Educational background in AI, machine learning, statistics, and/or graph theory; Bachelor's degree in Math or Computer Science preferred or a compelling story
  • 6+ years of professional data science experience, including 4+ years in a team leadership role
Additional Notes
The base salary range for this role is a base salary between $151,000 USD and $219,000 USD + bonus eligibility and equity.
We believe in paying transparently and equitably. Your salary will ultimately be based on factors such as your experience, skills, team equity, and market data. You'll also be eligible for unlimited PTO (which we model and encourage), work location flexibility, up to 24 weeks of parental leave, and really excellent health benefits.
We're an Equal Opportunity Employer: You'll receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
We're only hiring those authorized to work in the United States.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Salary Range
$151,000-$219,000 USD

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