Senior Manager, Data Science

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

• 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

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.