Kraken is changing the world. Join the revolution!
Our mission is to accelerate the adoption of cryptocurrency so that you and the rest of the world can achieve financial freedom and inclusion. Founded in 2011 and with over 4 million clients, Kraken is one of the world’s largest, most successful bitcoin exchanges and we are growing faster than ever. Our range of successful products are playing an important role in the mainstream adoption of crypto assets. We attract people who constantly push themselves to think differently and chart exciting new paths in a rapidly growing industry. Kraken is a diverse group of dreamers and doers who see value in being radically transparent.
In our first decade Kraken has risen to become one of the best and most respected crypto exchanges in the world. We are changing the way the world thinks about money and finance. The crypto industry is experiencing unprecedented growth and Kraken is leading the charge. We’ve grown from 70 Krakenites in January 2017 to over 1600 today and we have no intention of slowing down.
About the Role
We are looking for a Data Scientist who is innovative, highly-motivated, and proactive.
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 products. You will collaborate and lead projects with product management, engineering, marketing, and growth teams. You will transform data from complex systems, generate performance metrics, and share the results with stakeholders at all levels of the company.
Great benefits, amazing perks, remote work and travel opportunities, stock incentives, beautiful HQ office, and a flexible PTO policy make Kraken a great place to work. If you value having a seat at the table and want to make a big impact on guiding the direction of marketing and growth at one of the top crypto exchanges in the world, this role is for you.
- Partner with product, engineering, marketing, finance and other relevant stakeholders to identify, prioritize, and answer the most important questions where analytics and modeling will have a material impact.
- 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.
- Work with engineers to evangelize data best practices and implement analytics solutions.
- Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models.
- Communicate key results with self-serve tools (dashboards, analytics tools) for leadership and product management.
- Develop anomaly detection, and data modelling tools to monitor key performance indicators to improve the efficiency of the products.
- Design experiments for product teams to test hypothesis and help with idea generation and refinement.
- Build key datasets and data pipelines using Python/ETL frameworks.
- PhD or Masters degree in Statistics, Computer Science, Physical Sciences, Economics, Math or a related technical field.
- 5+ years industry experience in 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