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Overnight Data Science Mentor Jobs in Raleigh, NC

RELX

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Mentor team members and provide technical leadership in data science and AI. Requirements: * Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics ...

TEKsystems

Principal Data Scientist

Raleigh, NC

$75 - $90/hr

Mentor DS/ML engineers and contribute to long‑term AI strategy and architecture. Required Expertise 6-12+ years in Data Science / ML Engineering, with deep experience in LLM‑based systems. Proven ...

Pwc

Payer Healthcare Data Scientist, Manager

Raleigh, NC · On-site

$99K - $232K/yr

... science and machine learning methodologies to analyze vast claims and clinical data - Generate actionable insights aimed at reducing healthcare costs and enhancing population health - Lead and mentor ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site

$125K - $209K/yr

Mentor team members and provide technical leadership in data science and AI. Requirements: * Education: Master's degree or above in a quantitative or technical field (Statistics, Computer Science ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site +1

$115K - $192K/yr

Mentor team members and provide technical leadership in data science and AI. Requirements: * Education: Master's degree or above in a quantitative or technical field (Statistics, Computer Science ...

LexisNexis

Principal Data Scientist I

Raleigh, NC

$118K - $219K/yr

Principal Data Scientist I Are you looking to develop your Data Scientist career? Would you like to ... Have experience in mentoring or training others, and acting as a subject matter expert to guide ...

慨正橡扯

Principal Data Scientist I

Raleigh, NC · On-site

$118.30 - $219.80/hr

Principal Data Scientist I Are you looking to develop your Data Scientist career? Would you like to ... Have experience in mentoring or training others, and acting as a subject matter expert to guide ...

GRAIL

Staff Scientist, Assay R&D #4832

Durham, NC

Mentor and coach junior scientists and technical staff, fostering development and scientific excellence. * Serve as a subject matter expert, providing guidance on experimental design, data ...

GRAIL

Staff Scientist, Assay R&D #4832

Durham, NC · On-site

Mentor and coach junior scientists and technical staff, fostering development and scientific excellence. * Serve as a subject matter expert, providing guidance on experimental design, data ...

GRAIL

Staff Scientist, Assay R&D #4832

Durham, NC

Mentor and coach junior scientists and technical staff, fostering development and scientific excellence. * Serve as a subject matter expert, providing guidance on experimental design, data ...

RELX

Principal Data Scientist I (Raleigh)

Raleigh, NC · On-site

$118K - $219K/yr

Evaluation science (offline metrics, human-in-the-loop systems) * Cost-performance optimization ... Have experience in mentoring or training others, and acting as a subject matter expert to guide ...

GRAIL

Senior Data Engineer #4885

Durham, NC · On-site

$102K - $139K/yr

We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are ... Mentor and provide technical guidance to junior engineers, and contribute to the team's overall ...

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All JobsData Science Mentor JobsOvernight Data Science Mentor JobsOvernight Data Science Mentor Jobs in Raleigh, NC

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 are the most commonly searched types of Data Science Mentor jobs in Raleigh, NC? The most popular types of Data Science Mentor jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Overnight Data Science Mentor jobs? Cities near Raleigh, NC with the most Overnight Data Science Mentor job openings:
Overnight Data Science Mentor jobs near you
Infographic showing various Overnight Data Science Mentor job openings in Raleigh, NC as of June 2026, with employment types broken down into 60% Full Time, 31% Part Time, 8% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Senior Data Scientist II

RELX

Raleigh, NC • Hybrid

$104K - $174K/yr

Full-time

Re-posted 26 days ago

Job description

About the Team:

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role:

Are you looking to develop your Data Scientist career?

Would you enjoy training more junior team members?

We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven product capabilities within the legal domain. This team is global AI platform team that builds AI products and ships AI features to production. The team works on cutting edge AI technology and extensively leverages latest AI tools/Features as part of product.

Responsibilities:

  • Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).

  • Define agentic workflows and reasoning strategies for multi-step legal tasks.

  • Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).

  • Analyze large-scale legal datasets to extract insights and improve model performance.

  • Establish best practices for model evaluation, validation, and benchmarking.

  • Translate experimental results into clear product recommendations and business impact.

  • Collaborate with product, legal experts, and engineers to align solutions with user needs.

  • Mentor team members and provide technical leadership in data science and AI.

Requirements:

  • Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).

  • Strong experience in machine learning, NLP, and LLM-based modeling.

  • Strong experience designing and running experiments, including model evaluation and iteration.

  • Experience with generative AI techniques (e.g., prompt engineering, RAG).

  • Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.

  • Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.

  • Proficiency in Python and data analysis tools.

  • Strong foundation in statistics, modeling, and large-scale text processing.

U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

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