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Data Science Mentor Jobs (NOW HIRING)

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... mentorship, strategic career development, and execution excellence. There will be a need to plan ...

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Experience leading or mentoring analytical teams * Experience working with version control (e.g ...

Lead and mentor a team of data scientists and analysts, fostering technical growth and cross-functional collaboration * Translate client goals into clear modeling strategies, project plans, and ...

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Experience leading or mentoring analytical teams * Experience working with version control (e.g ...

Lead and mentor a team of data scientists on performance, growth, production, and day-to-day responsibilities * Partner across business and technology organizations to align on priorities, influence ...

Data Science Manager

Irvine, CA · On-site

$119.13K - $197.73K/yr

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... Foster a high-performing team culture through coaching, mentoring, and professional development

Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team ...

Small and mentorship-focused * Learning Goals: Develop and apply AI-driven data science solutions on real-world datasets and workflows supporting Fortune 500 enterprise use cases. Role Details:

Small and mentorship-focused * Learning Goals: Develop and apply AI-driven data science solutions on real-world datasets and workflows supporting Fortune 500 enterprise use cases. Role Details:

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... Foster a high-performing team culture through coaching, mentoring, and professional development

... mentor team members toward exceeding expectations and progressing in their career • Drive the ... data science success at software companies • 2+ years of experience directly managing data ...

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Data Science Mentor information

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$37.5K

$122.7K

$196.5K

How much do data science mentor jobs pay per year?

As of Jun 1, 2026, the average yearly pay for data science mentor in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Data Science Mentor job?

A Data Science Mentor guides aspiring data scientists by providing technical support, career advice, and industry insights. They help mentees understand concepts like machine learning, data analysis, and programming through structured learning paths or real-world projects. Mentors also review code, assist in problem-solving, and share best practices to ensure mentees develop strong analytical and programming skills. This role is crucial in bridging the gap between theoretical knowledge and practical application in data science careers.

What are the key skills and qualifications needed to thrive in the Data Science Mentor position, and why are they important?

To thrive as a Data Science Mentor, you need a strong background in data analysis, machine learning, and programming (typically with Python or R), often demonstrated by prior industry experience or an advanced degree in a related field. Proficiency with tools like Jupyter Notebook, Git, SQL, and cloud computing platforms, as well as certifications such as AWS Certified Machine Learning or Microsoft Azure Data Scientist, are often advantageous. Excellent communication, patience, and interpersonal skills are crucial for effectively guiding and motivating mentees of varying skill levels. These abilities enable mentors to translate complex concepts into understandable lessons, foster mentee growth, and ensure successful knowledge transfer.

What are some common challenges Data Science Mentors face, and how can they address them?

Data Science Mentors often encounter challenges such as addressing varying levels of mentee experience, keeping up with rapid advancements in technology, and tailoring feedback to individual learning styles. To navigate these challenges, mentors benefit from continually updating their technical knowledge and developing adaptable teaching strategies. Building strong relationships and open communication channels with mentees also fosters a supportive learning environment. By proactively seeking out resources and professional development opportunities, mentors can provide relevant, up-to-date guidance and help mentees achieve their goals.
What cities are hiring for Data Science Mentor jobs? Cities with the most Data Science Mentor job openings:
What are the most commonly searched types of Data Science Mentor jobs? The most popular types of Data Science Mentor jobs are:
What states have the most Data Science Mentor jobs? States with the most job openings for Data Science Mentor jobs include:
Infographic showing various Data Science Mentor job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 96% Full Time, 2% Part Time, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Science Manager

Data Science Manager

StubHub

Los Angeles, CA • Hybrid

Other

Medical, Dental, Vision, Retirement

Posted 4 days ago


StubHub rating

7.0

Company rating: 7.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

2nd of 3 rated ticket sellers


Job description

The Data Science team, a part of the broader StubHub Data organization, is looking for an experienced, senior-level Data Science Manager to lead a growing team (currently 6, ranging from entry level DS to Staff+) that covers a wide range of data science disciplines.

StubHub is the largest secondary ticketing marketplace in the world, generating massive amounts of consumer data that are leveraged to tackle many unique and interesting predictive and inference problems across user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. As a Data Science Manager, you will need to work closely with business leaders and convert their long-term strategic goals into tangible machine learning projects executed by your team at a day-to-day level. Understanding when to provide oversight from a technical perspective, while being able to grow individuals, will be paramount in your team's long-term success.

You will also be responsible for the technical and personal growth of your team members, developing talent density through focused mentorship, strategic career development, and execution excellence. There will be a need to plan team structure and growth as we invest more in ML, especially to understand the best ways to build and apply generative AI solutions within our product.

You will be joining at a critical time for the Data Science practice and the company - while the value of this discipline has been established and there's a high-performing team in place, we are far from steady state. Key areas of investment from a vision and team planning perspective include establishing new pockets of deep technical expertise (e.g., causal inference, graph ML), advocating for best-in-class ML tooling/platform, and widening the reach of data science company-wide. As a senior leader on this team, you will be responsible for shaping and realizing that vision.

Location: Hybrid (3 days in office/2 days remote) - New York, NY or Century City, CA 

What You'll Do

  • Technical project scoping and planning
  • Partner with cross-functional stakeholders across the business, executives, and data team
  • Technical review and architecture oversight
  • Recruitment and end-to-end talent growth development: Performance reviews, promotion recommendations, 360 feedback, etc
  • Surface infrastructure needs and onboard solutions

What You've Done

  • 8 - 10 years of relevant machine learning/data science in a fast-paced, high growth environment
  • 8 - 10 years of experience managing high performant data science team.
  • Strong programming and analytical ability with expertise in SQL and Python (TensorFlow, scipy, scikit-learn, PyTorch, statsmodels)
  • Experience with modern workflow orchestration used in machine learning, e.g.,Metaflow, ZenFlow, Airflow
  • Nice to Haves:
    • Worked at a consumer tech company
    • Experience with GenAI/LLM/Agentic workflows in a production setting
    • Hands-on experience with graph-based machine learning and recommendation systems

What We Offer

  • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
  • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
  • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
  • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.