Derive insights from data to influence product roadmaps and drive business results
Apply advanced analytical methods, structural approaches, causal inference, and/or machine learning and AI to model user behavior and estimate the impact of potential new feature implementations, and collaborate with product and engineering teams to develop solutions
Evaluate product experiments to create and improve user experiences
Communicate and present findings and recommendations to senior management
Help preserve our culture of fact-based decision-making as we scale
Requirements
Pursuing a Masters or PhD degree (in at least the third year of PhD program) in a quantitative field (e.g. Economics, Finance, Statistics, Math, Linguistics, Computer Science, Computational Social Science, ML/AI), ideally planning to graduate in Spring/Summer 2027
Strong understanding of consumer digital products and an interest in applying advanced analytics and economics to business outcomes
Previous experience analyzing large datasets and communicating results to technical and non-technical senior-level audiences
Skilled in SQL, R or Python, and/or statistical methods to analyze behavioral data
Enthusiasm for learning and sharing analytical methods to help grow a collaborative Data Science team and data-forward company culture
Able to relocate to Pittsburgh or NYC for the internship
(Exceptional) Experience with "big data" and cloud computing technologies like BigQuery, Snowflake, and/or dbt
(Exceptional) Experience articulating business questions and using available data to find answers that translate into product recommendations
(Exceptional) Self-starter, with a desire both to learn new techniques and guide others
(Exceptional) Previous experience/internships in applied business settings
(Exceptional) Familiarity with AI tools such as Cursor, a knack for prompt engineering, and a desire to continue to innovate and learn in AI.
Benefits
Language learning opportunities
Catered in-house lunches and breakfast
Company-wide Hackathon
PTO and company holidays
Frequent company-wide dinners, monthly celebrations, social clubs, and so much more!
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLRPythonstatistical methodsmachine learningAIdata analysisbig datacausal inferencebehavioral data analysis
Soft skills
communicationcollaborationself-starterenthusiasm for learningability to present findingsfact-based decision-makingguiding othersarticulating business questionstranslating data into recommendationsinterest in analytics