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Overnight Data Science Mentor Jobs (NOW HIRING)

Lead, grow, and mentor a high-performing team of data scientists; set standards for modeling, experimentation, MLOps, and research-to-production excellence. * Advance state-of-the-art applied science ...

Lead, grow, and mentor a high-performing team of data scientists; set standards for modeling, experimentation, MLOps, and research-to-production excellence. * Advance state-of-the-art applied science ...

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 ...

Responsibilities : • 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 ...

Passion for mentoring senior and junior data scientists, fostering technical excellence, and building a culture of experimentation and rigorous thinking. * Customer Empathy * Experience engaging ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Lead, mentor and grow a team of data scientists, ML engineers and data analysts dedicated to Marketplace initiatives across seller lifecycle. * Partner with product, engineering, merchandising, and ...

Passion for mentoring senior and junior data scientists, fostering technical excellence, and building a culture of experimentation and rigorous thinking. * Customer Empathy * Experience engaging ...

Mentor and Guide: Lead and mentor a team of data scientists, fostering a data-driven culture and promoting continuous learning in RPA and AI. * Communicate Effectively: Present findings and ...

Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your ...

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Demonstrated leadership in mentoring teams, managing projects, and fostering continuous learning ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Passion for mentoring senior and junior data scientists, fostering technical excellence, and building a culture of experimentation and rigorous thinking. * Customer Empathy * Experience engaging ...

Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your ...

Guide and mentor data science teams in coding, testing, and validating machine learning algorithms and analytical models. * Collaborate cross-functionally to translate business requirements into ...

Guide and mentor data science teams in coding, testing, and validating machine learning algorithms and analytical models. * Collaborate cross-functionally to translate business requirements into ...

(USA) Director, Data Science

Elkins, AR · On-site

$130K - $260K/yr

Guide and mentor data science teams in coding, testing, and validating machine learning algorithms and analytical models. * Collaborate cross-functionally to translate business requirements into ...

(USA) Director, Data Science

Lowell, AR · On-site

$130K - $260K/yr

Guide and mentor data science teams in coding, testing, and validating machine learning algorithms and analytical models. * Collaborate cross-functionally to translate business requirements into ...

Guide and mentor data science teams in coding, testing, and validating machine learning algorithms and analytical models. * Collaborate cross-functionally to translate business requirements into ...

Showing results 41-60

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:

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

Bellevue, WA


Chewy
Retail • 10K+ employees

6.8

Company rating: 6.8 out of 10

Based on 230 frontline employees who took The Breakroom Quiz

10th of 39 rated national retailers

Respectful managers

Uninterrupted breaks


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

At Chewy, we believe great work starts with great people.

Our mission is to be the most trusted and convenient destination for pet parents and partners everywhere. Advertising is a core growth engine for Chewy—and science is how we make it smarter for shoppers, brands, and the business.

Your Opportunity

We are hiring a Director, Data Science to own and lead all Ads Data Science for Chewy—fully accountable for the science strategy and production implementation behind Chewy’s onsite and offsite Chewy Ads.

You will lead a team of data scientists building the intelligence layer across the full advertising marketplace:

  • (a) Supply-side algorithms — search, relevance, ranking, real-time bidding, bid-boosting, premium positioning, and dynamic auctions.
  • (b) Demand-side algorithms — budgeting, pacing, budget allocation/reallocation, keyword recommendations, bid recommendations, campaign setup and auto-optimization, and advertiser ROAS optimization.
  • (c) Portfolio management — orchestrating Chewy’s onsite and offsite Ads portfolio for optimal, balanced performance across shopper experience, advertiser outcomes, and Chewy revenue.

This is a rare seat: you will define how modern AI—LLMs, generative AI, foundation models, and multimodal systems—shows up in a real advertising marketplace, not as demos, but as durable production systems that move customer and advertiser outcomes at scale. As a core member of Ads leadership, you’ll partner closely with Product, Engineering, and business partners, and represent Ads science to Chewy senior leadership.

What You’ll Own

  • Full ownership of Chewy Ads Data Science across onsite and offsite channels—strategy, roadmap, model portfolio, delivery, and scientific quality bar.
  • Lead, grow, and mentor a high-performing team of data scientists; set standards for modeling, experimentation, MLOps, and research-to-production excellence.
  • Advance state-of-the-art applied science across the three pillars above: embeddings and representation learning, CTR/CVR prediction, multi-objective ranking, auction and bidding dynamics, budget optimization, ROAS optimization, causal measurement, and marketplace balance.
  • Define and execute Chewy Ads’ AI / GenAI strategy, including LLM-powered workstreams such as:
    • Generative creative and offer assistance
    • Intelligent keyword and query recommendation
    • Bid recommendation and automated bidding guidance
    • Auto-campaign setup and optimization copilots for advertisers
    • Retrieval-augmented systems for relevance, discovery, and ranking quality
  • Partner with Product and Engineering to ship production systems that improve shopper relevance, advertiser ROI/ROAS, and Ads business performance.
  • Establish rigorous experimentation and decision frameworks so science investments map clearly to customer and revenue impact.
  • Represent Ads science to senior leadership—translating complex work into clear strategy, tradeoffs, and recommendations.
  • Raise Chewy’s external scientific presence through publications, talks, and recruiting at leading ML/AI/advertising venues (encouraged, not required).

What You’ll Need

  • Advanced degree (M.S., PhD, or equivalent experience) in a quantitative field (e.g., CS, ML, Statistics, OR, Applied Math, Data Science), or 10+ years building and leading large-scale ML/optimization systems.
  • Proven experience leading data scientists / applied scientists and owning end-to-end science delivery in production—ideally in ads, search, recommendations, personalization, or marketplace systems.
  • Deep hands-on fluency with modern ML for ranking and prediction at scale: deep learning, embeddings, retrieval, multi-objective optimization, and online experimentation.
  • Experience with advertising optimization systems spanning supply and demand—auctions, real-time bidding, pacing, budget allocation, keyword/bid recommendations, auto-campaign optimization, and ROAS optimization under real-time, constrained-spend settings.
  • Demonstrated experience productizing LLMs / generative AI in real systems (e.g., RAG, agentic workflows, evaluation harnesses, quality/safety controls)—ideally in ads, search, or ecommerce.
  • Strong foundation in mathematics, statistics, and scientific method; a high bar for model quality, causal measurement, and production reliability.
  • Experience operating distributed training/serving pipelines and partnering with Engineering on scalable deployment.
  • Exceptional communication: able to influence senior executives and cross-functional partners with clarity and technical credibility.

Nice to Have

  • Direct experience in digital advertising / retail media / sponsored products.
  • Ecommerce or retail marketplace experience.
  • Experience with cloud ML platforms (e.g., AWS SageMaker or equivalent) and modern GenAI tooling.
  • Track record of hiring and developing senior scientific talent.

What You’ll Get

Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law and you need an accommodation during the application process or to perform these job requirements, please contact CAAR@chewy.com.

Chewy offers a comprehensive benefits package including medical, dental, vision, life and disability insurance, 401(k) with company matching, paid time off, employee discounts, and additional wellness and support programs designed to help Team Members thrive personally and professionally.

The base salary range for this role is $198,500 - $300,000.00.
  • The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. 

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. 

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.


Chewy logo

About Chewy

Sourced by ZipRecruiter

Chewy is a prominent player in the e-commerce industry, specifically dedicated to pet owners. Based in Dania Beach, Florida, the company was founded in 2011 with the aim to make pet shopping easier and more convenient. Chewy offers a wide range of products including pet food, toys, and other pet-related essentials from over 1,000 trusted brands, along with prescription food and medications from certified veterinarians. The company stands out for its dedication to providing 24/7 customer service and shipping orders over $49 for free. Chewy's mission is to be the most trusted and convenient online destination for pet parents everywhere by committed to delivering pet happiness.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

Year founded

2011


What Chewy employees say

Pay

Benefits

Hours and flexibility

Workplace

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