Lead Data Scientist, Data and Systems

What You'll Do:

• 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.

Knowledge 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. 

Salary & Benefits

• $170,000-$225,000
• Medical, Dental, and Vision
• Commuter Benefits
• Life & STD Insurance
• Company match on 401 (k)
• Flexible Time Off (FTO)
• Equity