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# Senior Manager, Data Science

- **Company:** Lhi Group Ltd
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $210,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Big Data, BigQuery, Python (Programming Language), Machine Learning, Operational Databases, Blockchain, Technical Data Management Systems, Snowflake, Apache Kafka
- **Published:** August 5, 2026
- **Apply:** https://www.dice.com/job-detail/b94f1efa-3b7e-418b-97a3-128dcda75fac

## About the Role

+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.

## 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
Reviewing Python code and production data workflows
Helping the team process and interpret very large datasets
Partnering closely with product, engineering and intelligence teams


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