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Remote Data Science Mentor Jobs (NOW HIRING)

Data Science & Machine Learning Engineer

$117K - $140K/yr

Remote, USA (Client Location ZIP: 01730) Duration: 6 Months Contract to Hire We are seeking an ... Ability to mentor junior engineers and contribute to technical design decisions. Preferred ...

... 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 ...

Lead, mentor, and grow a team of data scientists and ML engineers - fostering a culture of excellence, curiosity, and continuous learning * Build and develop talent: recruit top-tier data science ...

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 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 ...

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 ...

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 ...

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 ...

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 ...

Be Seen First

Data Science and Analytics Intern Duration: 9 Weeks (15th June'26 - 14th Aug'26) Salary: $15.92 ... Remote work options are available. * You will receive mentorship and guidance from experienced ...

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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 Jun 17, 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:
Infographic showing various Remote Data Science Mentor job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 64% Full Time, 27% Part Time, and 8% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics

Texas A&M Agrilife Extension Service

Corpus Christi, TX • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Texas A&M University rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

192nd of 537 rated colleges and universities


Job description

Job Title

Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics

Agency

Texas A&M Agrilife Research

Department

Corpus Christi

Proposed Minimum Salary

Commensurate

Job Location

Corpus Christi, Texas

Job Type

Staff

Job Description

About Texas A&M AgriLife

Texas A&M AgriLife is comprised of the following Texas A&M University System members:

  • Texas A&M AgriLife Extension Service
  • Texas A&M AgriLife Research
  • College of Agriculture and Life Sciences at Texas A&M University
  • Texas A&M Forest Service
  • Texas A&M Veterinary Medical Diagnostic Laboratory

As the nation's largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.

Click here to learn more about how you can be a part of AgriLife and make a difference in the world!

Position Information

Texas A&M AgriLife Research at Corpus Christi is seeking a highly motivated scientist specializing in Geospatial Data Analytics to work with the Digital Agriculture team. This position complements the strengths of Texas A&M AgriLife Research unit at Corpus Christi in Digital Agriculture. The incumbent is expected to work with a team of transdisciplinary scientists to develop near to develop multi-modal data pipelines for decision support systems.

One of the goals of Digital Agriculture Research Lab at Texas A&M AgriLife Research center at Corpus Christi is to develop and apply emerging technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems.

Responsibilities:

- Lead the remote sensing and geospatial analytics component of the Texas Conservation & Sustainability Initiative (TCSI)-monitoring, measuring, reporting and verification (MMRV) component of the project and is expected to use their expertise on remote sensing and AI to develop MMRV tools for assessing conservation outcomes using the huge amount of data generated from this project.

- The candidate will work on the synthesis, integration, and analysis of large datasets obtained from remote sensing platforms such as Satellite imagery, online databases, and ground sensors and develop pipelines for multi-source data integration systems in agriculture.

- Publish peer-reviewed papers and support grant writing.

- Support projects on the development of digital twin systems, models, and user interfaces for visualizations, mapping, predictions, and prescriptions.

- Publish peer-reviewed papers and support grant writing.

- work with scientists from crop physiology, agronomy, extension, plant breeding, mechanical engineering, and computer science fields, and is expected to work in team and independently as needed.

- Mentor graduate students learning to conduct geospatial science/engineering, remote sensing.

- Perform other job-related duties as assigned.

Required Qualifications:

- Ph.D. in Remote Sensing, Geospatial Science, Computer Engineering, Data Science or a closely related discipline.

- Relevant professional experience.

- Experience in processing, analyzing, and modeling remote sensing data, particularly satellite imagery (optical and radar/SAR).

- Proficiency in artificial intelligence, machine learning, and geospatial data analytics.

- Experience with cloud computing platforms, geospatial databases, and large-scale data processing workflows is desirable.

- Strong written and oral communication skills, including a demonstrated ability to publish in highquality peerreviewed journals.

- Ability to work collaboratively in interdisciplinary research environments and contribute to team-based projects.

What You Need to Know

Salary: Compensation for this position is commensurate based on the selected candidate's qualifications.

Why Work at Texas A&M AgriLife?

When you choose toworkfor Texas A&M AgriLife, you become part of an organization that is an established leader in agriculture and life sciences with a wide range of capabilities to meet the needs of our statewide, national, and international constituents.

In addition, Texas A&M AgriLife offers a comprehensive benefit package including the following:

  • Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums
  • 12-15 days of annual paid holidays
  • Up to eight hours of paid sick leaveand at leasteight hours of paid vacation each month
  • Automatic enrollment in theTeacher Retirement System of Texas
  • Employee Wellness Initiative for Texas A&M AgriLife

Applicant Instructions

Applications received by Texas A&M AgriLife must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.


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