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Overnight Data Science Mentor Jobs (NOW HIRING)

Five9

Vice President, Data 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 ...

Five9

Vice President, Data Science

San Ramon, CA · On-site

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

Athenago

Data Science Intern

Wilmington, DE

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 ...

Unilever

Data Science Manager

Hoboken, NJ · On-site

Data Science Manager Unilever is one of the world's leading suppliers of Food, Home, and Personal ... Provide technical guidance and review, acting as a mentor and escalation point for complex ...

Walmart

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 ...

Unilever

Data Science Manager

Rogers, AR · On-site

Data Science Manager Unilever is one of the world's leading suppliers of Food, Home, and Personal ... Provide technical guidance and review, acting as a mentor and escalation point for complex ...

Unilever

Data Science Manager

Minneapolis, MN · On-site

Data Science Manager Unilever is one of the world's leading suppliers of Food, Home, and Personal ... Provide technical guidance and review, acting as a mentor and escalation point for complex ...

Rent the Runway

Manager, Data Science

New York, NY · On-site

You will provide technical direction, mentor Data Scientists, help prioritize the team's work, and help shape the long-term evolution of Data Science at Rent the Runway. This is a hands-on leadership ...

Gopuff

Director, Data Science

Charleston, WV · Remote

Provide strong technical direction and mentorship to a team of Data Scientists and ML Engineers; establish best practices for model development, evaluation, and deployment. * Partner with C-suite and ...

NCSU

Data Science Librarian

Raleigh, NC · On-site

The Data Science Services (DSS) department (6 librarians, 1 library specialist, plus graduate ... mentor or supervise graduate student consultants in their skill areas. The position deeply ...

DEUNA

Data Science intern

San Francisco, CA · On-site

This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects. Key Responsibilities * Assist in collecting, cleaning ...

PURE Insurance

Director, Data Science

Mentor and elevate colleagues, including more junior data scientists, raising the bar on engineering standards, communication habits, and professional maturity across the team. * Collaborate deeply ...

CookUnity

OR · On-site

Build, mentor, and scale a high-performing product data science team capable of delivering both strategic insights and production ML systems * Foster a culture of innovation, experimentation, and ...

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Overnight Data Science Mentor information

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 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 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 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 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:
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.

Vice President, Data Science

Five9

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.
Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.
As Vice President of Data Science, you will lead and grow our in-house data science team. This team is responsible for research, experimentation, data collection and curation, and data analysis that contributes to the performance of Five9's AI products. Tasks include evaluation of and selection of AI agent architectural frameworks, evaluation and comparison of LLM models across commercial and open source choices, model fine-tuning for dedicated tasks, prompt engineering, prompt structure and design, and composite model definitions and evaluations. The scale of Five9 provides a wealth of data that data science team has access to. The data science team is very much applied - their work directly makes its way into real products providing direct customer benefit.
As lead of this team, you will take complete ownership of the technical and operational direction of the organization, including growing to team to meet increased demand for its capabilities.
Key Responsibilities:
  • Technical Direction Setting: As an expert in the leading edge of AI and data science, you will direct the team on the methodologies, practices, algorithms, experiments and processes they perform.
  • Hands On: You are expected to also be hands on, not just a manger, and be directly responsible for some amount of the technical work in addition to directing the team.
  • Organizational Growth: You will be tasked with growing the team, and ensuring we have the right talent to accomplish our goals.
  • Collaborator and Spokesperson: You will act as an internal and external spokesperson for data science, and collaborate with stakeholders across the company. Internally, you will be expected to meet with product managers, executives and estaff, and be able to converse effectively with them. You will also occasionally meet with customers to understand how Five9 products, and the data science behind them, impacts the customers. You are expected to participate in industry activities, including publication of blog posts and papers, along with participation in AI conferences.

Technical Expertise:
  • 12+ years experience in data science or AI applied research, ideally at a best-in-class applied research organization.
  • Deep Expertise in Modern AI/ML
    • Extensive hands-on experience with LLMs, agentic architectures, retrieval-augmented systems, transformers, and composite model pipelines.
    • Strong understanding of commercial and open-source model ecosystems (e.g., OpenAI, Anthropic, Google, Meta, Mistral), including evaluation, benchmarking, and tradeoff analysis.
  • Model Development & Optimization
    • Proven ability to perform fine-tuning, supervised/unsupervised training, prompt engineering, prompt optimization, and model orchestration for real-world use cases.
    • Experience designing evaluation frameworks, experiment methodologies, and robust model comparison workflows.
  • Data Engineering & Curation
    • Expertise in large-scale data collection, labeling, cleaning, and curation pipelines, preferably with conversational or unstructured text data.
    • Familiarity with tools and techniques for data quality assessment, dataset versioning, and data governance.
  • Applied Data Science & Analytics
    • Strong proficiency in statistical analysis, A/B experimentation, causal inference, and performance measurement.
    • Demonstrated success turning data insights into product improvements that drive measurable business outcomes.
  • Software Development & Systems Thinking
    • Ability to work with engineering teams using modern software practices (Python, data platforms, cloud-native environments, APIs, ML Ops tooling).
    • Understanding of production ML systems, deployment patterns, monitoring, and safety/guardrail design.

People & Collaboration Skills:
  • Cross-Functional Partnering
    • Ability to collaborate effectively with product managers, engineering leaders, UX, and GTM teams to translate business needs into data science strategies.
    • Adept at explaining complex technical concepts to executives, customers, and non-technical stakeholders.
  • Communication & Storytelling
    • Exceptional written and verbal communication skills, including ability to publish thought leadership (papers, blog posts) and present at conferences.
  • Team Development & Mentorship
    • Passion for mentoring senior and junior data scientists, fostering technical excellence, and building a culture of experimentation and rigorous thinking.
  • Customer Empathy
    • Experience engaging directly with customers to understand their needs, gather feedback, and translate insights into product or model improvements.

Leadership & Strategic Skills:
  • Vision Setting & Direction
    • Ability to define the data science strategy for AI Agents and customer experience products, aligning with corporate priorities and market opportunities.
  • Hands-On Leadership
    • Comfortable being an active contributor-writing code, running experiments, reviewing research-while simultaneously guiding the team's overall direction.
  • Organizational Scaling
    • Experience hiring, scaling, and structuring high-performing data science teams across multiple geographies.
  • Operational Excellence
    • Ability to build processes for experimentation, model evaluation, data quality management, and continuous delivery of data science innovation into product.
  • Executive Presence & Influence
    • Skilled at influencing E-staff and senior leadership, defending technical decisions, shaping product strategy, and representing data science internally and externally.
  • Ethics, Safety & Risk Awareness
    • Deep understanding of responsible AI principles, privacy considerations, and model safety, including evaluating risks when operating at enterprise scale.

Educational Requirements:
Advanced degree in a quantitative or technical field, such as:
  • Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, Electrical Engineering, Computational Linguistics, or a related field.
  • Master's degree in one of the above fields with significant applied industry experience in AI/ML leadership roles.

Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office.
As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process.
Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans.
Our total reward package also includes:
  • Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching.
  • Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents.
  • Generous employee stock purchase plan.
  • Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave.

All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties.
The US base salary range for this role is below.
$233,000-$512,000 USD
Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer.
View our privacy policy, including our privacy notice to California residents here: https://www.five9.com/pt-pt/legal.
Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.

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