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Data Science Coach

Read straight from Leland's careers page, verified 1d ago.Seekless can tailor your résumé to it.
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Before you apply
LocationRemote - USA
Work moderemote · United States
Typecontract
SenioritySenior
DepartmentCoaches
Company size201–500 people
PostedJul 15, 2026 · 3mo ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Jul 15, 202697% of this company's open roles have been listed for 90+ days
How we check a job is still live
At a glanceSummarised by Seekless from the posting.
Hands-on experience in data science (as a data scientist, machine learning engineer, or industry professional)
Strong track record of turning data into actionable insight
Clear, structured approach to coaching clients through both technical and career growth
Skills
Python
React
AWS
PostgreSQL
About the company
Leland is building the home for ambition in the age of AI. We connect people with the experts, programs, and communities they need to land the job, get into the school, or upskill for a world being rewritten by AI. We help businesses become AI-native through training, hiring, and infrastructure. Since our founding in 2021, we’ve helped tens of thousands of people reach their most ambitious goals and raised $19M from world-class investors. Ambition is sacred to us, and we’ve built a product that takes that seriously.
About the role
We’re seeking an experienced Data Science Coach to work with clients looking to break into or grow within data science roles. This role includes teaching core data science strategy, machine learning, and predictive modeling skills, as well as helping clients strengthen data cleaning and preprocessing, data visualization, statistical analysis, and data pipeline automation practices. Coaches also guide clients on applying emerging tools like AI fundamentals, AI model evaluation, and AI automation to their data science work. On the career side, coaches offer resume review, LinkedIn review, and cover letter guidance, along with behavioral and technical interview prep tailored to data science roles, plus networking strategy, salary negotiation, promotion strategy, broader skill building, and support for those pursuing freelancing opportunities. Ideal candidates have hands-on experience in data science (as a data scientist, machine learning engineer, or industry professional), a strong track record of turning data into actionable insight, and a clear, structured approach to coaching clients through both technical and career growth. Coaches set their own hours and rates, host sessions virtually, and partner with our team to deliver a high-quality, supportive experience for every client.
Why Leland?
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The chance to join a world-class team helping people achieve their career and educational dreams
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Work in a collaborative, high-energy environment where your contributions have a direct impact
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Operate in a fast-paced, AI-native environment
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We don’t hire people who merely want to work for a great company; we hire people who want to make a great company
Legal
Leland is an equal opportunity employer. We encourage candidates of all backgrounds and demographics to apply.