Senior Data Scientist Job at Handshake, San Francisco, CA

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  • Handshake
  • San Francisco, CA

Job Description

About Handshake AI Handshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired. Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts. Now’s a great time to join Handshake. Here’s why:

  • Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide.
  • Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs.
  • World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few.
  • Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more.
Your Role
  • In your role as Data Scientist you will build dashboards and data pipelines to deepen our understanding of the fast growing Handshake AI business. You will deliver actionable insights and analyses that will guide the product strategy and operational next steps. You will be a thought partner for how to design our systems to cleanly track data. You will join a small team that will support all areas of the Handshake AI business, including Growth, Delivery Operations, Training, Churn/Retention, and more.
  • Define and track critical business and product metrics with product and engineering leaders
  • Lead analytics workstreams to uncover trends and drive product and design innovation
  • Collaborate strategically with product and engineering to ensure new systems and flows are designed in a way to capture data cleanly and effectively
  • Quickly and efficiently build dashboards and reporting systems that meetings can be actually run out of to inform data-driven decision-making.
  • Collaborate with cross-functional teams to understand analytical needs and translate them into clean, reusable data assets.
Desired Capabilities
  • 5+ years in data science, analytics, or a related quantitative field
  • 4-year degree in Computer Science or Computer Engineering
  • Strong communication and cross-functional collaboration skills for product / technical teams and executive audiences
  • Advanced proficiency in SQL and Python / R
  • Experience building dashboards to actually drive decision-making
  • Familiarity with BI tools such as Looker and Hex
Note: This role is focused on data analytics and business strategy and is explicitly not about machine learning model development or causal inference. Perks Handshake delivers benefits that help you feel supported—and thrive at work and in life. •The below benefits are for full-time US employees. •🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness : 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Stipends for home office setup, internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week! 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.

Job Tags

Full time, Work at office, Remote work, Worldwide, Home office, Flexible hours,

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