Senior Manager, Data Science

Lhi Group Ltd
United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$210,000.0 - $230,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Airflow Big Data BigQuery Python (Programming Language) Machine Learning Operational Databases Blockchain Technical Data Management Systems Snowflake Apache Kafka

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

Requirements

+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.

Benefits & conditions

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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