Data Science Coach

Leland
United States
Workplace: RemoteContractFunction: Data Science & Machine LearningSkills: ["Coaching","Communication","Structured thinking","Technical mentorship","Career guidance"]

Coach experienced and aspiring professionals to break into or grow within data science roles. Teach data science strategy, machine learning, and predictive modeling, while helping clients improve data cleaning, preprocessing, data visualization, statistical analysis, and data pipeline automation. Guide clients on applying AI fundamentals, AI model evaluation, and AI automation. Also provide resume, LinkedIn, and cover letter guidance, plus tailored technical and behavioral interview prep and career strategy.

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Leland
Leland
2 months ago

Data Science Coach

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Coach experienced and aspiring professionals to break into or grow within data science roles. Teach data science strategy, machine learning, and predictive modeling, while helping clients improve data cleaning, preprocessing, data visualization, statistical analysis, and data pipeline automation. Guide clients on applying AI fundamentals, AI model evaluation, and AI automation. Also provide resume, LinkedIn, and cover letter guidance, plus tailored technical and behavioral interview prep and career strategy.
Location: United States
Workplace: Remote
Employment Type: Contract
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Teach data science strategy, machine learning, and predictive modeling to coaching clients.
  • •Help clients strengthen data cleaning and preprocessing practices.
  • •Support clients with data visualization and statistical analysis for data science work.
  • •Guide clients on data pipeline automation and applying emerging AI tools, including model evaluation and AI automation.
  • •Provide career coaching including resume/LinkedIn/cover letter guidance and tailored technical and behavioral interview preparation.

Key Requirements

  • •Hands-on experience in data science as a data scientist, machine learning engineer, or industry professional.
  • •Ability to turn data into actionable insight with a strong track record.
  • •A clear, structured approach to coaching clients through technical and career growth.
  • •Proficiency teaching data science strategy, machine learning, and predictive modeling.
  • •Experience supporting data cleaning/preprocessing, data visualization, statistical analysis, and data pipeline automation.
Experience:Data scienceMachine learning
Skills:CoachingCommunicationStructured thinkingTechnical mentorshipCareer guidance
Tech Stack:Machine learningPredictive modelingData cleaningData preprocessingData visualizationStatistical analysisData pipeline automationAI fundamentalsAI model evaluationAI automation

Company Brief

Leland
Leland is a coaching marketplace connecting learners with expert coaches, courses, content, and community to support career and educational goals, including test prep, admissions, and professional upskilling.
Industry: EdTech
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: Stanford, United States
Founded: 2021
WebsiteLinkedIn