Senior Manager, Data Science
Full Time
On-site
USD $210,000.00 - 230,000.00 per year
LHi Group Ltd
Fitment
Dice Job Match Score™
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Job Details
Skills
- Artificial Intelligence
- Valuation
- Global Operations
- FOCUS
- Mentorship
- Workflow
- Product Engineering
- Management
- Python
- Startups
- People Management
- Coaching
- Fraud
- Finance
- Blockchain
- Apache Kafka
- Snow Flake Schema
- Payments
- Regulatory Compliance
- Data Science
- Collaboration
- Machine Learning (ML)
- Modeling
Summary
Senior Manager, Data Science
Location: United States - Fully remote
Type: Full-time
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.
Location: United States - Fully remote
Type: Full-time
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91115974
- Position Id: RGSRwPZtMfk2
- Posted 6 hours ago
Company Info
At Lawrence Harvey, we are dedicated tech recruitment specialists focused exclusively on the North American market. Our expertise lies in connecting top talent with leading technology companies, driven by a deep understanding of the dynamic tech landscape in the region. By concentrating on North America, we build strong industry relationships and navigate the unique challenges and opportunities within the sector. Our commitment to excellence and specialised knowledge ensures a tailored recruitment experience for both clients and candidates. Join us in redefining tech recruitment in North America, where innovation meets talent, and success becomes a shared reality.
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