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 27+ billion digitized global historical records, 100 million family trees, and 18 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 Data Science Co-op to join our Data Science Team in San Francisco, CA or Lehi, UT. You will have the opportunity to work alongside a high functioning group tackling Ancestry’s toughest and most exciting data science challenges while working with unique genealogical data and learn and apply cutting-edge AI/ML techniques. You will...· Use ML solutions and data to create meaningful family history products for customers· Work with other data scientists and software engineers to develop and deploy ML models at scale· Advocate for a data-driven culture and support the long-term value creation through development of outstanding data science capabilities in the areas of predictive modeling, record linking, graph modeling, and neural networks · Contribute to technical discussions, help translate questions into data science problems and find cost-effective solutions to the challenges at handWho you are…· Pursuing or earned a degree in Computer Science, Mathematics, Statistics or other data-related field· Experience with multiple data science projects end-to-end; from idea generation and goal formulation to implementation and deliverables· Proficiency in Python and SQL· Experience with applied machine learning, business analytics and data visualization Nice to have…· Some experience or working knowledge of Scala and Spark· Previous experience deploying models for recommendation and personalization engines.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.