Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.
What makes us different?
Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.
Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here.
As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Kraken NFT, and Kraken Futures.
Become a Krakenite and build the future of crypto!
Employer: Payward Operations LLC (dba Kraken)
Position: Data Scientist I
Job Location: 100 Pine Street, Suite 1250 PMB B297, San Francisco, CA 94111
Duties:
Partner with financial fraud, product, engineering, and other relevant stakeholders to identify, prioritize, and answer the most important questions where analytics, statistical and ML modeling will have a material impact on mitigating Financial Fraud.
Drive cross functional analytic projects from beginning to end: build relationships with
partner fraud teams, frame and structure questions, collect and analyze data, summarize and present key insights in support of decision making to mitigate fraud.
Work with engineers to evangelize data best practices and implement analytics solutions.
Develop, train, and deploy ML models serving predictions and automating fraud reduction
processes.
Collaborate with fraud 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 payment anomaly detection, and data modeling tools to monitor key performance indicators to improve the efficiency of payment gateways.
Design experiments for product teams to test hypothesis and help with idea generation and refinement.
Build key datasets and data pipeline automation using SQL/Python/Airflow/ETL frameworks.
Telecommuting / work from home is permitted.
Must have experience with:
Building and deploying machine learning models to detect fraudulent activities
Advanced quantitative and data analysis, including estimation methods, time series analysis, and machine learning techniques
Data querying languages such as SQL, scripting languages such as Python, or
statistical/mathematical software such as R
Performing in-depth research projects, examining real-world data with
mathematical methods
Cloud-computing tools and platforms such as AWS or GCP; Data visualization tools such as
tableau, Qlik, or data studio
Working with large datasets, including tick data
Identifying and implementing infrastructure improvements to minimize overall latency and maximizing performance with packages such as Pandas or Pyspark
Building databases and creating ETL pipelines for large, complex data sets with Airflow.
Minimum education and experience required:
Bachelor’s degree or the equivalent in Computer Science, Data Science, Statistics or a related field
3 years of experience in the crypto currency industry or related.
Employer will accept any amount of experience with the required skills.
#LI-DNI
This job is accepting ongoing applications and there is no application deadline.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. 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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Yearly based
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