Data Scientist - Growth

We are looking for a Growth Data Scientist who is innovative, highly-motivated, proactive and most of all, has a proven track record of success implementing growth analytics. For this role, you will be part of a team that builds cutting-edge trading products in the cryptocurrency industry. You will be responsible for transforming data and generating actionable insights into our customer behavior and measuring the performance of Kraken’s growth.

Responsibilities

• Assess growth efforts across the organization by partnering with product, engineering, marketing, finance and other relevant stakeholders to identify, prioritize, and answer the most important questions
• Evaluate performance of push, email, in-app messaging and paid media for acquisition and retargeting efforts, subscription, feature and content-led marketing through analysis of A/B test results and funnel analysis
• Drive cross functional analytic projects from beginning to end: build relationships with partner teams, frame and structure questions, collect and analyze data, summarize and present key insights in support of decision making
• Lead and develop analytics to track performance of marketing campaigns from pre-launch to post-launch, including forecasting, tracking KPIs across all marketing channels and performing deep dive analyses to gain insights to optimize performance
• Identify subscription growth and retention opportunities through market attribution modeling and customer segmentation
• Communicate key results with self-serve tools (dashboards, analytics tools) for leadership and product management.
• Perform churn, retention and acquisition analyses across growth marketing initiatives using SQL and Tableau
• Contribute to both the design of tests as well as the engineering of automated data pipelines using Airflow that power the measurement and performance of onboarding and retention tests

Requirements

• PhD or Masters degree in Statistics, Computer Science, Physical Sciences, Economics, Math or a related technical field
• 5+ years industry experience in growth data science or analytics
• A consistent track record of performing data analysis using Python, R, and/or SQL
• Experience using statistics and predictive analytics to solve complex business problems
• The versatility and willingness to learn new technologies on the job
• The ability to clearly communicate complex results to technical and non-technical audiences
• Familiarity with other data tools such as Druid, Hadoop, Tableau, Superset is a plus