Data Science Manager
- Role
- Engineering Management
- Experience
- Senior
- Employment
- Full-time
- Company size
- Startup
Open to US only. Set where you work from to check your eligibility.
No BS summary
Data Science/ML manager with 7+ years in DS/ML and 4+ years managing DS/ML teams. Needs prior IC experience as an MLE or data scientist, Python/modeling/pipelines, large-scale data systems, and fraud, fintech, or blockchain intelligence domain experience. US-based only.
Core skills
Required skills
💼 Hiring: Data Science Manager (Blockchain) - [Company not provided] 📍 Remote (US-based only) | 🕐 Posted 21 hours ago - July 23, 2026 | 💰 $210k-230k base + equity, bonus, health/dental, 401k | 🧑💻 Full-time | 🔗 Blockchain intelligence, data science, ML
A fast-growing, well-funded blockchain intelligence company (recent Series C, $1B+ valuation) is hiring a Data Science Manager to lead an initiative connecting blockchain activity to real-world entities with precision and scale. The platform is trusted by government agencies and financial institutions to investigate and disrupt crypto-related financial crime.
📋 Responsibilities include:
- Lead and mentor a high-performing data science team, balancing hands-on execution with strategic vision
- Drive technical innovation across a modern stack (Python, Airflow, BigQuery, Kafka, Snowflake) to scale data models and pipelines
- Partner with engineering, product, and intelligence teams to turn raw blockchain data into insights that power customer-facing products
- Help set the market standard for accuracy and trust in blockchain attribution
- Recruit, develop, and retain top technical talent
🔑 Requirements:
- 7+ years in data science/ML, including 4+ years managing DS/ML teams, with prior IC experience as an MLE or data scientist
- Full-stack profile: Python, modeling, and pipelines, not just analytics
- Experience with large-scale data systems (BigQuery, Snowflake, Airflow)
- Domain experience in fraud, fintech, or blockchain intelligence
- Startup or hypergrowth company background
- Master's or PhD in a quantitative field
- AI-fluent, using AI tools to accelerate daily work
💡 Perks & Benefits:
- $210K–$230K base + equity
- Annual bonus
- Health/dental, 401k
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What you'll do
- Lead and mentor a high-performing data science team
- Balance hands-on execution with strategic vision
- Drive technical innovation to scale data models and pipelines
- Partner with engineering, product, and intelligence teams to turn raw blockchain data into customer-facing insights
- Help set the market standard for accuracy and trust in blockchain attribution
- Recruit, develop, and retain technical talent
What they require
- 7+ years in data science/ML
- 4+ years managing DS/ML teams
- Prior individual contributor experience as a machine learning engineer or data scientist
- Full-stack profile covering modeling and pipelines, not just analytics
- Experience with large-scale data systems
- Domain experience in fraud, fintech, or blockchain intelligence
- Startup or hypergrowth company background
- Master's or PhD in a quantitative field
- AI-fluent and uses AI tools to accelerate daily work
Benefits
- Equity
- Annual bonus
- Health insurance
- Dental insurance
- 401k
A fast-growing, well-funded blockchain intelligence company with a recent Series C and $1B+ valuation. Its platform is trusted by government agencies and financial institutions to investigate and disrupt crypto-related financial crime.