Senior Manager, Data Science
New
B
bareinsightsBlockchain Analytics
Fully remote within the United States., Minimum of 6 hours of daily overlap with the Eastern Time zone.Full-TimeManager
Salary210,000 - 230,000 USD per year
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Job Details
- Experience
- 7+ years of data science experience, with at least 4 years directly managing data science or machine learning individual contributors.
- Required Skills
- PythonKafkaMachine LearningSnowflakeAirflowBigQuery
Requirements
- 7+ years of data science experience.
- At least 4 years directly managing data science or machine learning individual contributors.
- Prior hands-on experience as an MLE or data scientist.
- Strong proficiency in Python, statistical modeling, and data pipeline development.
- Experience with large-scale data systems and orchestration tools such as BigQuery, Snowflake, Airflow, or equivalents.
- Demonstrated use of AI tools and LLMs to accelerate technical work.
- Background at a startup or hypergrowth company (Series A–C stage or equivalent).
- Experience in blockchain analytics, financial crime, fraud detection, or fintech data domains.
- Strong cross-functional collaboration skills.
- Advanced degree (Master's or PhD) in a quantitative field is a plus.
Responsibilities
- Lead and mentor a high-performing data science team, balancing individual execution with longer-term strategic vision.
- Drive technical innovation across a modern data stack (Python, Airflow, BigQuery, Kafka, Snowflake), ensuring pipelines and models scale with quality.
- Collaborate cross-functionally with engineering, product, and intelligence teams to turn raw blockchain data into actionable product insights.
- Set the standard for accuracy and trustworthiness in blockchain attribution, helping establish market-leading data quality.
- Recruit, develop, and retain top technical talent while growing the team's overall product and engineering maturity.
- Maintain a hands-on technical presence (~20–80 split), actively contributing code and technical direction.
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