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Data Science Mentor Jobs (NOW HIRING)

As Director of Data Science , you will lead the team responsible for Numerator's consumer panel ... You should be equally comfortable debating statistical methodology, mentoring a team, partnering ...

As Director of Data Science, you will lead the team responsible for Numerator's consumer panel ... You should be equally comfortable debating statistical methodology, mentoring a team, partnering ...

As Director of Data Science, you will lead the team responsible for Numerator's consumer panel ... You should be equally comfortable debating statistical methodology, mentoring a team, partnering ...

You will work with executive mentor(s) and data scientists to match projects to your interests and goals, with an aim to improve operations, enhance products, or generate new insights.

Data Science Fellow

Chicago, IL ยท On-site

$51K - $87K/yr

You will work with executive mentor(s) and data scientists to match projects to your interests and goals, with an aim to improve operations, enhance products, or generate new insights.

Data Science Architect

Mckinney, TX ยท On-site

$59 - $76/hr

Provide technical leadership and mentorship to Data Scientists, ML Engineers, Data Engineers, and development teams. * Work with stakeholders to translate business requirements into technical and ...

Thought Leadership and Enablement Champion best practices in experimentation, measurement, visualization, and decision science. Mentor other data scientists and analysts and contribute to a culture ...

Mentor junior data scientists: mentor junior data scientists, fostering a culture of continuous improvement and innovation. Requirements - Essential * 3+ years of applied data science experience in ...

You will build, mentor, and lead a high-performing team of data scientists to deliver operational excellence, accelerate product advancement, and drive business value. In this role, you will deeply ...

You will build, mentor, and lead a high-performing team of data scientists to deliver operational excellence, accelerate product advancement, and drive business value. In this role, you will deeply ...

Thought Leadership and Enablement Champion best practices in experimentation, measurement, visualization, and decision science. Mentor other data scientists and analysts and contribute to a culture ...

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... Mentor and coach team members while fostering a culture of scientific rigor, collaboration ...

Manager Data Science

Philadelphia, PA ยท On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... Mentor and coach team members while fostering a culture of scientific rigor, collaboration ...

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... Mentor and coach team members while fostering a culture of scientific rigor, collaboration ...

Thought Leadership and Enablement Champion best practices in experimentation, measurement, visualization, and decision science. Mentor other data scientists and analysts and contribute to a culture ...

Manager Data Science

Philadelphia, PA ยท On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... Mentor and coach team members while fostering a culture of scientific rigor, collaboration ...

Showing results 21-40

Data Science Mentor information

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How much do data science mentor jobs pay per year?

As of Sep 11, 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?

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 as a data science mentor?

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.

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Infographic showing various Data Science Mentor job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Director, Data Science

Chicago, IL โ€ข On-site

Numerator
Marketing Researchย โ€ขย 1 - 5K employees

Full-time

Re-posted 3 days ago


Job description

At Numerator, understanding consumers begins with one of the industry's richest and most comprehensive views of real-world purchasing behavior. For more than a decade, Numerator has pioneered and led the science of representing consumer purchasing behavior across retailers, channels, brands, categories, demographics, and geographies.
As Director of Data Science, you will lead the team responsible for Numerator's consumer panel - the quality, currency, and representativeness of the signal at the heart of our data. Your team owns how well the panel reflects the population, how we understand where it doesn't, and the methodologies that keep it accurate, current, and trustworthy. You'll partner closely with Market Science, Engineering, Product, and GTM to turn that signal into products and estimates clients rely on.
We're looking for a leader who enjoys challenging assumptions, translating client needs into innovation, and developing exceptional data scientists. You should be equally comfortable debating statistical methodology, mentoring a team, partnering with Engineering and Product, and explaining complex concepts in language that drives better business decisions.
What You'll Do:
Team Leadership:
  • Lead, coach, and develop a team of data scientists and data science managers focused on consumer behavior, panel methodology, and measurement science
  • Grow the leaders on your team - developing managers, not only individual contributors - and raise the technical bar through mentorship, methodology reviews, and adoption of modern statistical approaches
  • Foster a culture of scientific curiosity, rigor, and peer review, where decisions are grounded in evidence and healthy debate rather than precedent or intuition
  • Build an AI-native data science team by thoughtfully integrating AI into research, experimentation, software development, and scientific workflows - helping scientists move faster while maintaining rigorous standards
  • Maintain regular engagement with clients to deepen understanding of their challenges, build confidence in Numerator's methodology, and keep client needs central to the team's priorities

Consumer Science & Methodology
  • Own the quality, currency, and representativeness of the panel signal end to end - advancing methods for attribution completeness, compliance, anomaly detection, and keeping panelist demographics current
  • Characterize how the panel represents - and mis-represents - the population, treating that as a first-class, proactive modeling discipline rather than reactive data cleanup
  • Steward the panel as a living asset, partnering across the business on recruitment, engagement, and panel health, and turning evidence of where the panel is thin into targeted, prioritized investment
  • Design methodologies that improve the stability, consistency, explainability, and scientific defensibility of Numerator's consumer data

Statistical Innovation
  • Challenge existing approaches through first-principles thinking, and research, prototype, and productionize new statistical and machine learning methods where they strengthen the platform
  • Partner with Market Science to advance the statistical foundations of Numerator's products

Cross-Functional Leadership
  • Partner closely with Market Science, Engineering, Product, and GTM - contributing the deep panel understanding that powers the broader measurement system, and translating scientific advances into scalable product capabilities
  • Communicate complex technical concepts clearly to technical and non-technical audiences
  • Balance scientific rigor with practical business impact and client value

Skills & Requirements
  • 8+ years applying advanced statistical modeling to large, complex, real-world datasets
  • Experience leading data science teams, including developing managers or leading through other leaders
  • Deep expertise in statistical modeling, machine learning, and probabilistic reasoning
  • Strong grounding in panel, survey, or sampling methodology - weighting, representativeness, and measurement science
  • Experience working with noisy observational data and developing methods to improve data quality, representativeness, or inference
  • Experience developing production methodologies rather than exploratory analyses, and designing statistical systems rather than simply applying existing techniques
  • Strong programming skills in Python, with working knowledge of SQL
  • Excellent communication skills, with the ability to explain complex statistical concepts to diverse audiences, including external/client audiences

You'll stand out if you have:
  • Experience with Bayesian statistics, hierarchical modeling, probabilistic inference, or state-space models
  • Experience with causal inference, experimental design, or behavioral modeling
  • Experience developing statistical methods for consumer, retail, marketing, or longitudinal datasets
  • A demonstrated ability to challenge existing methodologies and introduce new scientific approaches into production
  • A systems-thinking approach that considers how improvements in one area influence the broader measurement platform

There is strength in numbers - We are the Numerati
Numerator is 2,000 employees strong. We have the confidence to be real and embrace what makes each Numerati unique. Our diverse experiences, ideas and backgrounds fuel our innovation.
Being part of the Numerati means that we'll take care of you! From our Recharge Days, maximum flexibility policy, wellness resources for employees and their families, development opportunities and much more - we're always finding ways to better support, celebrate and accelerate our team.