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Remote Data Science Mentor Jobs (NOW HIRING)

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$115K - $139K/yr

Mentor senior engineers, conduct design reviews, and provide technical leadership across teams to ... Bachelor's degree in CS/IT/Data Science or equivalent experience (Master's preferred). * 10+ years ...

Cigna

Data Science Director - Remote

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build and evolve machine learning models influencing business growth, risk selection, forecasting ...

Cigna

Data Science Director - Remote

Raleigh, NC · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build and evolve machine learning models influencing business growth, risk selection, forecasting ...

New

Blend

Data Science Manager

... Data Science Manager. The role involves leading client-facing incrementality testing and ... leadership and mentorship to junior team members while helping drive rigor and operational ...

Cigna

Data Science Director - Remote

New York, NY · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build and evolve machine learning models influencing business growth, risk selection, forecasting ...

New

Cigna

Data Science Director - Remote

Bloomfield, CT · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build and evolve machine learning models influencing business growth, risk selection, forecasting ...

New

Athena LLC

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 ...

The Hartford

Director of Data Science

Charlotte, NC · On-site +1

$153K - $229K/yr

Mentor and develop team members, fostering a culture of curiosity, ownership, and continuous ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Mentor and develop team members, fostering a culture of curiosity, ownership, and continuous ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Five9

Vice President, Data Science

Passion for mentoring senior and junior data scientists, fostering technical excellence, and ... This role is fully remote for candidates who reside outside the 30 mile radius of one of our ...

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

Mentor and develop team members, fostering a culture of curiosity, ownership, and continuous ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

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 ...

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Remote Data Science Mentor information

See salary details

$41.5K

$142.5K

$201K

How much do remote data science mentor jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote data science mentor in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

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

AspectRemote Data Science MentorData Scientist
Required CredentialsTypically requires expertise in data science, mentoring experience, and often certifications in data analysis or related fieldsRequires a degree in data science, statistics, computer science, or related fields; certifications are a plus
Work EnvironmentRemote, often freelance or part-time, focused on guiding learners and menteesCan be remote or on-site, involved in analyzing data, building models, and deploying solutions
Employer & Industry UsageUsed by online education platforms, bootcamps, and freelance mentoring servicesEmployed by tech companies, finance, healthcare, and research organizations

The main difference is that a Remote Data Science Mentor primarily provides guidance and mentorship to learners, while a Data Scientist actively analyzes data and develops models within organizations. Mentors focus on education, whereas Data Scientists focus on applying data skills to solve business problems.

More about Remote Data Science Mentor jobs
What cities are hiring for Remote Data Science Mentor jobs? Cities with the most Remote 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 Remote Data Science Mentor jobs? States with the most job openings for Remote Data Science Mentor jobs include:
What job categories do people searching Remote Data Science Mentor jobs look for? The top searched job categories for Remote Data Science Mentor jobs are:
Remote Data Science Mentor jobs near you
Infographic showing various Remote Data Science Mentor job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$115K - $139K/yr

Full-time

Posted 18 days ago

Job description

*Due to NERC regulations US Citizenship, Green Card Hold, or Permanent Residency is required for this role.*

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a team we have successfully supported for a few years.

This is hands-on engineering position requiring the ability evaluate execution layer code.

Data Engineer IV

Position Summary

The Principal Data Engineer / Architect (Data Engineer IV) is a senior technical leader responsible for defining the enterprise-wide data architecture, platform strategy, and governance standards. This role shapes how data is collected, modeled, processed, secured, and consumed across all applications and business domains, ensuring the long-term scalability, reliability, and performance of the organization’s data ecosystem.

Principal Data Engineers drive large-scale modernization, lakehouse and warehouse architecture, MDM adoption, metadata automation, Delta Lake strategy, multi-cloud integrations, and end-to-end data platform evolution. Operating with full autonomy, this role engages with Directors, senior architects, and cross-functional leaders to guide decisions that impact enterprise systems, analytics, compliance, and technology investments.

This position is both strategic and hands-on when needed—solving the hardest technical problems, creating reusable frameworks, and mentoring senior engineers to elevate overall data engineering maturity across the enterprise.

Essential Functions:

  • Own the long-term design and architecture of the enterprise data ecosystem, including ingestion, storage, modeling, lineage, governance, and analytics layers.
  • Design scalable lakehouse, Delta Lake, and distributed data architectures supporting advanced analytics, operational workflows, and integration across business domains.
  • Lead enterprise-wide modernization projects: warehouse migrations, domain modeling redesigns, governance uplift, streaming adoption, or cross-cloud data integrations.
  • Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and compliance across all data teams.
  • Create reusable architectural patterns, frameworks, orchestrations, and platform components adopted across engineering groups.
  • Solve the most complex technical problems, including distributed system bottlenecks, data quality crises, lineage gaps, and multi-domain data reconciliation issues.
  • Guide cost optimization strategy for compute, storage, and orchestration workloads across the data platform.
  • Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ensure alignment with organizational strategy.·
  • Influence leadership decisions regarding data strategy, platform investments, tooling, and sprint/roadmap priorities.
  • Mentor senior engineers, conduct design reviews, and provide technical leadership across teams to raise the overall engineering bar.

Basic Qualifications:

  • Bachelor’s degree in CS/IT/Data Science or equivalent experience (Master’s preferred).
  • 10+ years experience in data engineering, data architecture, or distributed systems engineering.
  • Proven track record designing and implementing enterprise-scale data platforms with Lakehouse/Delta architectures.
  • Expert-level proficiency with SQL, Spark, Python, Databricks, Delta Lake, Azure Data Factory, and distributed processing.
  • Deep understanding of data modeling (conceptual, logical, physical), governance frameworks, MDM, metadata catalogs, and lineage systems.
  • Experience leading multi-team engineering initiatives and influencing architectural decisions at the leadership level.
  • Strong grounding in security, compliance, data privacy, and regulatory data handling.

Apply