Lead and develop a high-performing data science team working on complex investigative problems across government, payments and digital-asset industries. Manage team operations while remaining technically involved in machine learning modeling and production data workflows. Requires 7+ years of data science experience, 4+ years of team management, and strong Python skills.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
We’re partnering with a high-growth AI and Data technology company developing advanced software used across government, payments and the digital-asset industry.
Following a recent Series C funding round, the business reached a valuation of $1 billion and continues to expand its technology, customer base and global operations. Its platform helps specialist teams bring together complex information, identify meaningful patterns and make faster decisions in high-consequence environments.
The opportunity
You’ll lead an established team of data scientists working across applied machine learning, technically complex datasets and production-scale systems.
This is an 80/20 player-coach role. Most of your time will focus on managing, mentoring and developing the team, while remaining involved in technical reviews, modeling decisions and data workflows.
What you’ll be doing
• Leading and developing a high-performing data science team
• Guiding machine learning and modeling work across complex investigative problems
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• Reviewing Python code and production data workflows
• Helping the team process and interpret very large datasets
• Partnering closely with product, engineering and intelligence teams
What we’re looking for
• +7 or more years of experience in data science or machine learning
• +4 years directly managing Data Science or Machine learning teams
• Previous hands-on experience as a data scientist or machine learning engineer
• Strong Python, modeling and production data experience
• Startup or hypergrowth company experience
• Experience with large-scale data systems
• Strong people-management and coaching skills
• A quantitative degree, with an advanced degree preferred
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Experience within fraud, fintech, financial crime, risk, blockchain or another data-intensive environment would be beneficial but isn’t essential.
Experience with Airflow, BigQuery, Kafka or Snowflake are nice to haves.
Why join?
• Join a business valued at $1 billion following a recent Series C
• Build technology used across government, payments and digital assets
• Support teams responsible for investigations, intelligence, compliance and risk
• $210k–$230k base salary plus competitive equity
• Fully remote within the United States
• Lead an established data science team
• Work across machine learning, modeling and production systems
Candidates must be US-based and able to overlap with Eastern time.
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