Staff Data Scientist
Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Aug 29, 2026.
Join Grindr, the largest LGBTQ+ social app in the world, as a Staff Data Scientist. In this role, you will work closely with product managers, designers, and engineers to develop insightful metrics, execute experiments, and drive growth through deep analysis. You will have the opportunity to impact the lives of millions of users and be an ambassador for the Data Science team within the organization.
Missions
- Collaborer avec les chefs de produit, les concepteurs de produits et les ingénieurs pour concevoir des métriques éclairantes et exécuter des expériences novatrices.
- Extraire des informations exploitables à partir de questions larges et ouvertes, concevoir et évaluer des expériences pour mesurer l'impact des changements de produit.
- Développer des outils pour automatiser les analyses, améliorer la productivité et fournir des conseils aux membres de l'équipe.
Profil recherché
- Strong Python skills in data analysis using pandas and Jupyter Notebook- A strong background in inferential statistics, especially in an experimentation setting (hypothesis testing, power analysis, experimental design)
- Experience with different data analytics and BI tools such as Looker, Tableau, PowerBI, or Snowflake
- A deep understanding of the “why” behind your work, not just the how
- 7+ years of industry data science experience
- Experience in big data technologies like Spark
- Experience writing and optimizing complex SQL queries on large data sets
- BS or higher in Computer Science, Statistics, Mathematics, Physics, a related quantitative field, or equivalent experience
- Experience effectively communicating & collaborating with non-technical stakeholders
- A machine learning background with an understanding of when ML is the right tool and the subtle science of creating models that function well in the real world would be a nice to have
- You have excellent communication, presentation, and documentation skills with the ability to define and communicate the “big picture” to key stakeholders at various levels and technical understanding
- Experience with Statsig would be nice-to-have