Data Science Coach
Leland · United States
- Hybrid
- Contract
- $120,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Coach clients on data science and AI skills.
- Guide career development for data science roles.
- Provide resume, interview, and negotiation support.
- Work with ambitious individuals and businesses.
- Set your own hours and rates virtually.
About the role
About Leland
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.Job Overview
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 Candidate Profile
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.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
Equal Opportunity Employer
Leland is an equal opportunity employer. We encourage candidates of all backgrounds and demographics to apply.Key skills/competency
Data Science, Machine Learning, Predictive Modeling, Data Cleaning, Data Visualization, Statistical Analysis, Data Pipeline Automation, AI Fundamentals, AI Model Evaluation, AI Automation, Resume Review, Interview Preparation, Career Coaching, Salary Negotiation, Promotion Strategy, Freelancing Support.Skills & topics
- Data Science Coach
- Data Science
- Machine Learning
- AI
- Career Coaching
- Interview Prep
- Resume Review
- Statistical Analysis
- Predictive Modeling
- Data Visualization
How to get hired
- Tailor your resume: Highlight data science coaching experience and client success stories.
- Showcase AI/ML expertise: Emphasize skills in machine learning, predictive modeling, and AI tools.
- Demonstrate coaching approach: Explain your methods for technical and career development guidance.
- Prepare for interviews: Practice discussing your coaching philosophy and client outcomes.
- Network with Leland: Connect with team members on LinkedIn to learn about company culture.
Technical preparation
Master core machine learning algorithms.,Practice explaining complex data concepts.,Build a portfolio of data projects.,Stay updated on AI advancements.
Behavioral questions
Describe a client's challenging situation.,How do you motivate an uninspired client?,Explain your data science coaching philosophy.,How do you handle client feedback?
Frequently asked questions
- What specific data science skills will I coach clients on at Leland?
- As a Data Science Coach at Leland, you'll guide clients in core data science strategy, machine learning, predictive modeling, data cleaning and preprocessing, data visualization, statistical analysis, and data pipeline automation. You'll also cover emerging AI tools like AI fundamentals, AI model evaluation, and AI automation.
- What career development support can I offer as a Leland Data Science Coach?
- You will assist clients with resume and LinkedIn profile reviews, cover letter guidance, behavioral and technical interview preparation specifically for data science roles. Additionally, you'll provide support in networking strategy, salary negotiation, promotion strategy, broader skill building, and advice for those pursuing freelancing opportunities.
- What kind of experience is required to be a Data Science Coach at Leland?
- Ideal candidates possess hands-on experience in data science roles such as a data scientist or machine learning engineer. A strong track record of transforming data into actionable insights and a structured approach to coaching clients through technical and career growth are essential.
- How does the work arrangement work for a Data Science Coach at Leland?
- Data Science Coaches at Leland set their own hours and rates. All coaching sessions are hosted virtually, allowing for flexible scheduling and remote work. You will partner with the Leland team to ensure a high-quality client experience.
- What is Leland's mission and how does this role contribute?
- Leland's mission is to be the home for ambition in the age of AI, connecting people with experts and resources for career and educational advancement. As a Data Science Coach, you directly contribute by empowering individuals to achieve their data science career goals and helping businesses become AI-native.
- What are the benefits of joining Leland as a coach?
- Joining Leland offers the chance to work with a world-class team, contribute to clients' career dreams, and operate in a collaborative, high-energy, AI-native environment. You'll have a direct impact on client success and be part of a company culture that values making a great company.
- What is the expected commitment for a Data Science Coach?
- The commitment is flexible as coaches set their own hours and rates. This allows you to manage your workload based on your availability and client demand, while ensuring a high-quality experience for every client.
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