Lead Data Scientist, Data and Systems
4 days ago
🏢 In-office - San Francisco
Description
• Collaborate with Sales and Marketing to understand business objectives, frame problems, and develop models and frameworks to solve them. • Lead data science initiatives to enhance acquisition algorithms, channel optimization, and retention solutions. • Build and scale experimentation frameworks, driving insights through A/B testing for acquisition, retention, and engagement strategies. • Develop customer acquisition and retention KPIs, leveraging cohort data to track LTV, CAC, churn, and performance across sales channels. • Utilize data to guide strategic marketing decisions, including budget allocation, targeting strategies, and ad personalization. • Drive actionable insights by analyzing patterns and trends across commercial and customer data, delivering clear and impactful presentations to stakeholders. • Prioritize key data science initiatives that deliver high impact, focusing on growth, personalization, and maximizing customer lifetime value. • Lead efforts to integrate foundational technologies that support real-time data analysis and continuous experimentation. • Foster a deep understanding of business fundamentals, proactively addressing future trends and data needs to support growth and innovation.
Requirements
• MSc/Phd in Data Science, Statistics, Physics, Computer Science, or a related field • 5+ years of experience in data science or advanced analytics, in consumer industries • Expertise in Python, SQL, Pandas, SparkSQL; familiar with data warehouses like Snowflake, BigQuery, or Redshift. • Solid background in statistical analysis, including hypothesis testing and causal inference. • Experience with marketing analytics, including segmentation, LTV, CAC, retention, and familiarity with web analytics tools like Google Analytics or Heap. • Strong expertise in machine learning (predictive modeling, clustering, regression) and experience in deploying models to production. • Experience in building and maintaining data pipelines, ETL processes, and feature engineering. • Proven ability to manage cross-functional projects and effectively communicate data insights to stakeholders. • Strong business acumen in a consumer business with a subscription model and proven success in providing actionable data insights that enabled business growth. • Ability to work in a fast paced, dynamic environment where adaptability is imperative. • Familiarity with AWS, Docker, ECS, Snowflake, DBT, Fivetran, Airflow a plus.
Benefits
• Medical, Dental, and Vision • Commuter Benefits • Life & STD Insurance • Company match on 401 (k) • Flexible Time Off (FTO) • Equity
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