Data Scientist

Job description

About Kraken

As one of the largest and most trusted digital asset platforms globally, we are empowering people to experience the life-changing potential of crypto. Trusted by over 8 million consumer and pro traders, institutions, and authorities worldwide - our unique combination of products, services, and global expertise is helping tip the scales towards mass crypto adoption. But we’re only just getting started. We want to be pioneers in crypto and add value to the everyday lives of billions. Now is not the time to sit on the sidelines. Join us to bring crypto to the world.

To ensure Kraken is the right fit for you, please ensure you read Kraken Culture Explained to find out more about us!

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, stock incentives, 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, statistical and ML 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
    • Develop, train, and deploy ML models serving predictions and automating business processes
    • 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 SQL/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
Location Tagging: #EU #US

We’re powered by people from around the world with their own unique and diverse experiences. We value all Krakenites and their talents, contributions, and perspectives, regardless of their background. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto!

As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.

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