Data Scientist

Since launching in 2009, Grindr has quickly grown into the world’s largest social networking app for gay, bi, curious and queer men. With millions of daily users spanning almost every country in every corner of the planet, Grindr brings you zero feet away from connecting to a community that grows stronger every day.

The Data Scientist is a critical thinker who will engage with senior leaders to design well-constructed analyses derived from large datasets. The Data Scientist will work cross-functionally with product managers and engineers to deliver actionable results and should be comfortable working with Agile, cross-functional teams and eager to be a strategic partner in analytics assignments.

• Work with our Product, Engineering, Marketing, and Finance teams to answer complex questions about users, advertisers, and revenue
• Test hypotheses, create reports, handle open tickets and contribute to shared backlog using Jira
• Collaborate with developers, program managers, and product managers in an open, Agile environment
• Geek out on large datasets and generate insights from which business value can be ascertained
• Write queries in ANSI and Postgres SQL

Requirements

• A passion for problem-solving and comfort with ambiguity
• 3+ years of experience using quantitative data analysis to solve business problems
• Strong understanding of the principles and tools of statistics and machine learning
• Strong experience with statistical programming languages (R, Python)
• Strong experience building data visualizations, dashboards, and data representations
• Experience building real-time data pipelines within high volume data environments
• Familiarity with shell scripting and common Unix commands
• Solid understanding of mobile data analysis tools and social media metrics
• Strong communication skills with the ability to communicate effectively across all levels of the organization
• Ability to thrive in a dynamic, fast-paced environment, drive change, and collaborate effectively with a variety of individuals and organizations
• Master or Ph.D. degree in Engineering or related quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, Economics)

Preferred qualifications

• Experience with JVM ecosystem software development
• Experience with data product deployment and A/B testing
• Experience with modern Apache data stack such as Kafka, Spark, Flink and Beam
• Knowledge of Computer Vision or Natural Language Processing
• Knowledge of Bayesian and Deep Learning approaches; graphical models