Data Science Coach

Job not on LinkedIn

🔥 6 minutes ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Leland

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

📚 Education

🏪 Marketplace

💰 Seed Round on 2022-05

Education • Coaching • Marketplace

Leland is a platform that connects users with a diverse range of expert coaches to help them achieve their personal and professional goals. The company offers tailored coaching and courses across various fields, including management consulting, admissions for graduate programs, and career development. With a focus on individualized support, Leland provides resources and mentorship to assist users in navigating complex application processes, improving their interview skills, and enhancing their overall career prospects.

📋 Description

• Work with clients looking to break into or grow within data science roles • Teach core data science strategy, machine learning, and predictive modeling skills • Help clients strengthen data cleaning and preprocessing, data visualization, statistical analysis, and data pipeline automation practices • Guide clients on applying emerging tools like AI fundamentals, AI model evaluation, and AI automation • Offer resume review, LinkedIn review, and cover letter guidance • Conduct behavioral and technical interview prep tailored to data science roles • Provide networking strategy, salary negotiation, promotion strategy, broader skill building, and support for those pursuing freelancing opportunities

🎯 Requirements

• 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

🏖️ Benefits

• 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