Senior Data Scientist
New York City; Portland, Oregon; Chicago, Illinois; Los Angeles, California; San Francisco, California; Remote
Gemini
Gemini makes crypto simple. Find, Trade and Buy over 80 coins including bitcoin on the best cryptocurrency platform. Start trading crypto here.Empower the Individual Through Crypto
Gemini is a crypto exchange and custodian that allows customers to buy, sell, store, and earn more than 30 cryptocurrencies like bitcoin, bitcoin cash, ether, litecoin, and Zcash. Gemini is a New York trust company that is subject to the capital reserve requirements, cybersecurity requirements, and banking compliance standards set forth by the New York State Department of Financial Services and the New York Banking Law. Gemini was founded in 2014 by twin brothers Cameron and Tyler Winklevoss to empower the individual through crypto.
Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we want to help you buy, sell, and store your bitcoin and cryptocurrency. Crypto is not just a technology, it's a movement.
At Gemini, our mission is to empower the individual and that includes giving our employees flexibility of choice — our Office Optional Policy allows employees to choose to work from one of our physical locations or from home.
Select roles that are location-specific will still be eligible for flexible schedules.
The Department: Trust and Safety
Trust & Safety at Gemini is a team dedicated to stopping bad actors, securing our user’s funds and ensuring the integrity of Gemini’s digital asset marketplace. We are a diverse group of technology, legal, data, and operational professionals who develop new approaches to solving classic problems using cutting edge tools and processes. Data is central to all of our business functions and drive many of our most important decisions at Gemini. As a result, the data analysts and scientists, associates and engineers that make up the Trust & Safety team are uniquely positioned to advise and influence cross-functional projects. These projects cover a wide-range of topics including fiat returns, identifying low quality and fraudulent users, and using on-chain information to support fraud detection.
The Role: Senior Data Scientist
As a member of our Trust and Safety data intelligence and strategy team, you’ll shape the way we approach data at Gemini by using your analytical and communication skills to work with teams across the business. You will focus on customer onboarding, transactions, and payment strategies to lower payment return rates and identify and off-board bad actors from Gemini, as well as manage ad-hoc requests from cross-functional teams. You know how to ask the right questions and are passionate about using data to support and drive informed business decisions. You are ready to roll up your sleeves and are excited to take on challenging opportunities and projects. You’ll work with other data scientists, analysts, engineers, and fraud operators to guide strategies and achieve KPIs while communicating your insights with leaders across the organization.
Responsibilities:
- Process, clean, and visualize data from complex databases and create top-notch reporting solutions
- Partner with product managers, engineers, fraud operations, and other functions to drive insights for the Trust and Safety team
- Design experimentation frameworks such as decision trees and A/B test models, identify leading indicators of fraud losses, and develop strategies to improve fraud capture rates
- Design, build and enhance dimensional models for BI solutions
- Perform root cause analysis and resolve production and data issues
- Create test plans, test scripts, and perform data validation
- Tune SQL queries, reports, and ETL pipelines
- Build and maintain data dictionary and process documentation
- Research new tools and technologies to improve existing processes
Qualifications:
- 5+ years experience in data analytics, strategy analytics or modeling role
- 5+ years experience developing a BI applications (Tableau/Looker/Power BI, etc)
- Advanced skills with SQL are a must
- Proficient in Python
- Experience with one or more MPP databases (Redshift, Bigquery, Snowflake, etc)
- Experience with one or more ETL tools (Informatica, Pentaho, SSIS, etc)
- Experienced in working collaboratively across different teams and departments
- Strong technical and business communication
- This role may require on call rotations
Preferred Qualifications:
- Proficient in Developing LookML
- Knowledge and experience of financial markets, banking or exchanges
- Experience working in small firms or start up technology first
It Pays to Work Here
We take a holistic approach to compensation at Gemini, which includes:
- Competitive Compensation and Profit-Sharing Equity
- Flexible vacation policy
- Retirement Plan Matching
- Generous Parental leave
- Comprehensive health plans
- Training and professional development
At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace and affirmative action employer. If you have a specific need that requires accommodation, please let a member of the People Team know.
#LI-
#LI-REMOTE
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking BigQuery Crypto Data Analytics ETL Informatica KPIs Looker LookML MPP Pentaho Pipelines Power BI Python Redshift Research Snowflake SQL SSIS Tableau
Perks/benefits: Career development Competitive pay Equity Flex hours Flex vacation Home office stipend Parental leave
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Data Engineer II jobs
- Open Junior Data Scientist jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Manager jobs
- Open Data Quality Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs