Data Scientist, Mobile App Performance

📋 Description

• Build signal enrichment pipelines leveraging contextual signals, behavioral data, and mobile
• Develop production-grade predictive models based on event data (clicks, installs, in-app events
• Partner with GTM teams to translate metric frameworks into buyer-facing insights and predictive
• Conduct deep-dive analysis to influence product and engineering decisions: pull and query large
• Develop predictive modeling frameworks to quantify performance gains from product hypotheses before
• Act as the senior data science voice in product discussions. Bring partner-level insight and

🎯 Requirements

• 5+ years of hands-on data science experience, with a focus on ML model development, statistical
• Deep fluency in Python and SQL; experience with large-scale data environments (Spark, Hadoop, Hive
• Strong foundation in experimental design, hypothesis testing, regression modeling, and causal
• Experience with ML algorithms relevant to ranking, prediction, and optimization problems: gradient
• Proven ability to extract actionable signals from noisy, high-volume datasets and communicate
• Track record of owning projects end-to-end, from problem framing through to production impact

🎁 Benefits

• Paid leave programs
• Paid holidays
• Healthcare
• Dental and vision insurance
• Disability and life insurance
• Commuter benefits