Senior Data Scientist

What you'll do

• Turn complex data into strategic recommendations and define product KPIs with partner teams.
• Plan annotation work and evaluation schemas, and build event instrumentation, metric frameworks, and self-serve analytics.
• Communicate findings and mentor team members in analytical rigor and data storytelling.

What they ask for

• Bachelor's degree in a relevant technical field or equivalent years of practical work experience.
• 5+ years using SQL or similar big data querying languages and 5+ years with a programming language such as Python or R.
• 5+ years applying statistical techniques, such as inferential or causal methods, A/B testing, or statistical modeling.
• Experience using machine learning and statistical analysis to build data-driven product solutions or conduct methodological research.

Nice to have

• Advanced degree in applied mathematics, statistics, actuarial science, economics, or a related field.
• Product-focused experience in the legal or medical domain; mentorship and leadership skills are also a plus.

Pay

$160K - $230K (base salary; currency not stated)

Tools

SQL, Python, R

AI focus

Works on the AI product suite, evaluates products, and identifies opportunities for proprietary data products.