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Data Science Coach

Role overview

Qualifications

  • 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

Responsibilities

  • Teaching core data science strategy, machine learning, and predictive modeling skills
  • Helping clients strengthen data cleaning and preprocessing, data visualization, statistical analysis, and data pipeline automation practices
  • Guiding clients on applying emerging tools like AI fundamentals, AI model evaluation, and AI automation
  • Offering resume review, LinkedIn review, cover letter guidance, and interview prep tailored to data science roles

About the company

Leland logo

Leland

E-Learning / EdTech

Leland is a marketplace for ambitious people to access the coaching, classes, content, and community they need to reach career and educational goals.We’ve built a platform with hundreds of coaches from various professional backgrounds, schools, price points, and experience levels. Whether you are building your career, trying to get into school, or taking a test, we have experts to provide you with personalized mentorship and guidance. Join our community today to access events, free resources, and world-class coaching.

Company details

IndustryE-Learning / EdTech
Company size11 - 50

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Job description

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.

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?

  • The chance to join a world-class team helping people achieve their career and educational dreams

  • Work in a collaborative, high-energy environment where your contributions have a direct impact

  • Operate in a fast-paced, AI-native environment

  • We don't hire people who merely want to work for a great company; we hire people who want to make a great company


Leland is an equal opportunity employer. We encourage candidates of all backgrounds and demographics to apply.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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