Role overview
About the Company
Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.
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 help you buy, sell, and store your bitcoin and cryptocurrency.
What you'll work on
- Design and develop Trust & Safety machine learning and AI models to optimize across fraud, crypto exchange trading, and anti money laundering.
- Distill complex models and analysis into compelling insights for our stakeholders and executives.
- Analyze large and complex datasets to identify patterns for feature engineering, trends, and anomalies and develop predictive models that can be used for decision-making.
- Collaborate with software developers to design and implement machine learning systems that can improve the speed and accuracy of the machine learning models.
- Monitor and analyze the performance of our machine learning models and systems and make necessary improvements to ensure their effectiveness.
- Stay up-to-date with data science tools and methodologies in technology and financial domain.
- Perform root cause analysis and resolve production and data issues.
What we're looking for
- Bachelor's degree in computer science, data science, mathematics, or a related field.
- 4+ years of work experience in analytics and data science domain focusing on financial services-related business problems.
- 3+ years of experience deploying statistical and machine learning models in production.
- 2+ years of experience in integrating data science models into applications.
- Proven experience in developing and deploying ML models at scale, with a deep understanding of model lifecycle management.
- Knowledge and experience of crypto exchange trading, financial markets, or banking.
- Extensive knowledge of ML frameworks (Sagemaker or ML Flow) , libraries, data structures, data modeling, and software architecture.
- Advanced skills with SQL are a must.
- Proficient in Python.
- Experience with one or more big data tools and technologies like Snowflake, Databricks, S3, Hadoop, Spark.
- Experienced in working collaboratively across different teams and departments.
- Strong technical and business communication.
Tags & focus areas
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