About the position
When you join Ancestry, you join a human-centered company where every person’s story is important. Ancestry®, the global leader in family history, empowers journeys of personal discovery to enrich lives. With our unparalleled collection of more than 40 billion records, over 3 million subscribers and over 23 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we’ve built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving and sharing the most important information about themselves and their families. We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity. Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve. Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.
Responsibilities
- Support the development of forecasting, segmentation, and personalization models to drive marketing strategy.
- Perform exploratory data analysis to surface opportunities for improving conversion, engagement, and retention.
- Assist in the execution and analysis of A/B tests to evaluate campaigns and offer effectiveness.
- Build and maintain dashboards and reporting tools that help track funnel/campaign/model performance.
- Collaborate with stakeholders to answer key business questions.
- Contribute to the evolution of marketing metrics and experimentation frameworks.
Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics or other data-related field required.
- 2+ years of industry experience in machine learning and statistical modeling.
- Proven track record of completing multiple data science projects end-to-end; from idea generation, objectives formulation, to implementation and deliverables.
- Strong proficiency in Python and SQL.
- Experience with applied machine learning, business analytics and data visualization.
- Experience with experimental design, A/B testing, causal inference.
- Understanding of common marketing metrics (e.g., ROI, CAC, LTV, conversion rates).
Nice-to-haves
- Master’s or Ph.D. is a plus.
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Eligibility for bonus
- Equity
- Comprehensive benefits package
