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Overnight Data Science Mentor Jobs (NOW HIRING)

Numerator

Director, Data Science

Chicago, IL · On-site

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 ...

Numerator

Director, Data Science

Chicago, IL

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 ...

Numerator

Director, Data Science

Chicago, IL

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 ...

Vizient

Data Science Fellow

Chicago, IL · 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.

Vizient, Inc.

Data Science Fellow

Chicago, IL · 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.

Mars Technominds Inc

Data Science Architect

Mckinney, TX · 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 ...

Intuit

Staff Data Scientist

Mountain View, CA · On-site

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 ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

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 ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

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 ...

Intuit

Staff Data Scientist

Mountain View, CA · On-site

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 ...

Elsevier

Manager Data Science

Philadelphia, PA · 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 ...

Elsevier

Manager Data Science

Philadelphia, PA · 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 ...

RELX

Manager Data Science

Philadelphia, PA · 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 ...

Intuit

Staff Data Scientist

Mountain View, CA · On-site

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 ...

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Overnight Data Science Mentor information

What does an overnight data science mentor do?

An Overnight Data Science Mentor provides guidance and support to students or professionals learning data science, typically during nighttime or off-peak hours. Their main responsibilities include answering questions, reviewing code and projects, offering feedback, and assisting with problem-solving in areas like statistics, machine learning, and programming. This role is especially important for learners in different time zones or those with non-traditional schedules, ensuring continuous support and engagement. Mentors often work remotely and may collaborate with educational platforms or bootcamps to help learners achieve their goals.

What are the typical responsibilities and challenges faced by an overnight data science mentor?

As an Overnight Data Science Mentor, you are primarily responsible for providing guidance, feedback, and support to data science students outside of regular business hours. This often involves answering technical questions, reviewing project work, and helping learners troubleshoot coding issues in real time. A common challenge in this role is balancing prompt, clear communication with students across different time zones while ensuring complex concepts are explained in an accessible manner. Additionally, working overnight hours requires strong time management and self-motivation. The role is highly collaborative, as you often coordinate with other mentors and instructional staff to ensure consistent support and learning outcomes.

What are the key skills and qualifications needed to thrive as an overnight data science mentor, and why are they important?

To thrive as an Overnight Data Science Mentor, you need a solid background in statistics, programming (such as Python or R), and practical experience applying data science methodologies, often supported by a relevant degree or certifications. Familiarity with tools like Jupyter Notebook, SQL, data visualization platforms, and cloud-based collaboration systems is essential. Strong communication, patience, and the ability to explain complex concepts clearly are vital soft skills for guiding learners remotely. These skills ensure effective mentorship, foster student growth, and help maintain a supportive learning environment during overnight hours.

What is the difference between Overnight Data Science Mentor vs Data Scientist?

AspectOvernight Data Science MentorData Scientist
CredentialsTypically requires a background in data science, mentoring experience, and relevant certificationsRequires a degree in data science, statistics, or related fields; certifications are common
Work EnvironmentOften remote, flexible hours, focused on mentoring and trainingUsually office-based or remote, involved in data analysis, modeling, and research
Employer & IndustryEducational platforms, online training companies, startupsTech companies, finance, healthcare, consulting firms
Search & Comparison IntentPeople looking for mentorship roles or part-time mentoring opportunitiesIndividuals seeking full-time data analysis or modeling roles

The main difference is that an Overnight Data Science Mentor focuses on guiding and training learners, often remotely and part-time, while a Data Scientist is involved in analyzing data, building models, and making data-driven decisions in a full-time professional setting.

What cities are hiring for Overnight Data Science Mentor jobs?

Cities with the most Overnight 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 Overnight Data Science Mentor jobs?

States with the most job openings for Overnight Data Science Mentor jobs include:

What are popular job titles related to Overnight Data Science Mentor jobs?

For Overnight Data Science Mentor jobs, the most frequently searched job titles are:

Overnight Data Science Mentor jobs near you
Infographic showing various Overnight Data Science Mentor job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Director, Data Science

Chicago, IL • On-site

Numerator
Marketing Research • 1 - 5K employees
Learn more about Numeratorexternal

Full-time

Re-posted 5 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.

Apply