# Data Science Manager

**Company:** [SentiLink](https://hotfix.jobs/companies/sentilink)
**Location:** Remote
**Role:** Data Analytics
**Salary:** $210k – $260k/yr
**Experience:** 10+ years
**Skills:** Python, Postgres, AWS, EC2, S3, Rds, Redshift, Machine Learning, Fraud Detection, Feature Engineering
**Posted:** 2026-04-08

> Manage a team of data scientists building fraud detection models and financial risk products, providing technical leadership, mentoring, and end-to-end ownership from development to production. Requires 10+ years experience, strong ML skills, production coding, and startup background.

## Job Description

## Responsibilities
- Directly manage a team of highly skilled data scientists (start from 2-3 and grow to 5-6).
- Act as a technical mentor that can dive deep and provide detailed direction.
- Lead planning, resourcing and communications with senior leadership, product and engineering teams.
- Develop strong business intuition and guide your team to deliver performant DS solutions on aggressive timelines.
- Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
- Research new types of fraud and develop new SentiLink products around identity verification.
- Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering.
- Write production-ready code that can be relied on for real-time decision making by our partners.
- Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.

## Requirements
- 10+ years relevant work experience & relevant Masters or 7+ years & relevant PhD.
- 2-5 years experience directly managing a team of data scientists, ideally in a startup environment.
- 3+ years of startup experience.
- Excellent communicator and team player.
- Proven track record of solving complex / high profile business problems with DS / ML solutions.
- Experience in communicating outcomes / progress to senior management / stakeholders.
- Very strong in “end to end” DS development: Planning, fleshing out success criteria / metrics, getting buy-in, developing the solution, delivering the solution (prod / deck / strategy doc / etc).
- Strong practical ML / Stats knowledge, i.e. can easily employ the suite of standard ML / stats tools to quickly scope out solutions, and double down where needed. Experience with SOTA ML solutions is a plus.
- Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is.
- Experience writing production code and tests.
- Detail oriented and thoughtful—someone we can rely on to make business-changing decisions.
- Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems.

## Nice-to-haves
- Bonus for familiarity with: identity solutions, fintech, or adjacent industries.

## Compensation
- $210,000-$260,000/year + equity + benefits
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!

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