Data Scientist (Product)
KalshiFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The role offers a hybrid work environment, and most US-based positions can also be performed remotely unless exceptions are noted in the Minimum Qualifications.
Minimum qualifications include a Bachelor's degree in a quantitative field like Mathematics, Computer Science, Operations Research, or Economics (or equivalent), 3+ years of experience in product analytics, business operations, analytics, growth marketing, or product, proficiency with A/B testing, experimental design, statistical modeling, causal inference, and skills in Python (numpy/pandas/matplotlib), R, and SQL, plus a structured analytical approach.
Proficiency in statistical computing and scripting languages such as Python (numpy/pandas/matplotlib), R, and SQL is required, along with A/B testing, experimental design, statistical modeling, and causal inference.
This information is not specified in the job description.
A strong candidate has a Bachelor's or advanced degree in a quantitative field, 3+ years in product analytics or related areas, proficiency in Python, R, SQL, A/B testing, and statistical modeling, plus a structured approach to turning complex problems into analytical tasks; an advanced degree is preferred.
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