Staff Product Analyst - Experimentation & Causal Inference 

Data Science | San Francisco, California, United States

Staff Product Analyst - Experimentation & Causal Inference

  • San Francisco, California, United States
  • Data Science
  • Full-time

About Ancestry:

When you join Ancestry, you join a human-centered company where every person’s story is important. We believe that by discovering the struggles and triumphs of our past, we can foster deeper bonds and more meaningful connections among families and communities. Our talented team of scientists, engineers, genealogists, historians, and storytellers is dedicated to empowering customers around the world from all backgrounds on their journeys of personal discovery. 

With more than 30+ billion digitized global historical records, 100+ million family trees, and 20+ million people in our growing AncestryDNA database, Ancestry helps customers discover their family story and gain a new level of understanding about their lives. Passionate about dedicating your work to enriching people’s lives? You belong at Ancestry.

Ancestry is looking for a Staff Product Analyst to join our team in San Francisco or in Lehi. Reporting to our Senior Manager, Product Analytics, you will work with massive datasets and have the opportunity to shape the vision and strategic role of Product Analytics. You will work with members of Product, Marketing, Data Science, and Engineering teams to analyze customer behaviors using causal inference and experiments with the ultimate goal to improve our products/content and identify the next area of opportunity.

What you will do...

  • As an important partner on the Product Management team, you will participate in product planning, new product design, review and product feature improvement
  • Collaborate as a subject-matter expert in the design of experiments with the objective of increasing the reliability of our experiment setup and inference.
  • Run exploratory analyses, uncover new areas of opportunity, create hypotheses, and quickly assess the potential upside of a given opportunity for potential future testing.
  • Establish the statistical inference process in experiments and standardize that across the product analytics team.
  • Conduct causal inference analyses to guide company wide projects and important product decisions.
  • Improve the experimentation methodology to solve complex product scenarios.
  • Mentor and advise product analysts on the experiment design and data analysis.
  • Stand as an expert and role model for collaboration within the product analytics team and across teams of different functions.

Who you are...

  • 6+ years of demonstrated experience at senior level analyzing product and content user behavior for online consumer software products, e.g. online shopping, social site, streaming services, gaming.
  • Proficient in analyzing very large datasets with SQL and R/Python.
  • Subject matter expert of causal inference with experience applying that to real-world
  • Knowledgeable in advanced topics such as Bayesian Statistics, Variance Reduction Methods and Global Holdout.
  • Experience demonstrating and communicating on quantitative topics
  • Graduate Degree in Statistics, Operation Research, Applied Mathematics, Economics, Computer Science or a quantitative discipline
  • Research and analytical mindset

Helping people discover their story is at the heart of ours.  Ancestry is the largest provider of family history and personal DNA testing, harnessing a powerful combination of information, science and technology to help people discover their family history and stories that were never possible before. Ancestry’s suite of products includes: AncestryDNA, AncestryProGenealogists, Fold3,, Find a Grave,, and Rootsweb. We offer excellent benefits and a competitive compensation package. For additional information, regarding our benefits and career information, please visit our website at





Additional Information:

Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.

All job offers are contingent on a background check screen that complies with applicable law.  For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.  

Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.

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