Senior Data Scientist – Retail Onchain, Borrow/Lend/Earn
Job Description:
• Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making.
• Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations.
• Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs.
• Maintain a high bar for statistical rigor on your team. Ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders.
Requirements:
• A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience
• Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces.
• Ability to influence external stakeholders by synthesizing data learnings into compelling stories.
• Practical expertise in applying complex modeling frameworks to practical business problems.
• Professional experience using SQL and Python.
• Experience working with digital products in an iterative development cycle.
• Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.
Benefits:
• Health insurance
• Dental insurance
• Vision insurance
• 401(k)
• Paid time off
Apply Now
Apply Now
• Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making.
• Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations.
• Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs.
• Maintain a high bar for statistical rigor on your team. Ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders.
Requirements:
• A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience
• Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces.
• Ability to influence external stakeholders by synthesizing data learnings into compelling stories.
• Practical expertise in applying complex modeling frameworks to practical business problems.
• Professional experience using SQL and Python.
• Experience working with digital products in an iterative development cycle.
• Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.
Benefits:
• Health insurance
• Dental insurance
• Vision insurance
• 401(k)
• Paid time off
Apply Now
Apply Now