Data Science Manager - Application Fraud

SentiLink Corp; United States; Hybrid; USD 210,000 - 260,000; Full time

Benefits offered by this job

Employer-paid health insurance

401(k) with employer match

Flexible paid time off

Home office stipend

Job summary

SentiLink Corp is seeking a Data Science Manager for Application Fraud to lead a talented team in developing models for identifying fraud. The role offers the chance to mentor and manage data scientists while working on impactful projects.

The ideal candidate should possess extensive experience in data science management and a strong background in machine learning and statistics.

Position allows for remote or in-office work with competitive salary and benefits.

Qualifications

• 10+ years relevant work experience and a relevant Master's or 7+ years and a relevant PhD.
• 2-5 years experience directly managing a team of data scientists.
• Strong practical ML and statistics knowledge.

Responsibilities

• Manage a team of highly skilled data scientists, starting from 2-3 and growing to 5-6.
• Lead planning, resourcing, and communication with teams.
• Develop and maintain SentiLink’s fraud detection models.

Skills

Data science

Machine Learning

Team Management

Python

PostgreSQL

AWS

Education

Master's degree in relevant field

PhD in relevant field

Tools

Amazon EC2

Amazon S3

Amazon RDS

Amazon Redshift

Job description

SentiLink provides identity and risk solutions.

We support a variety of work arrangements, ranging from fully remote to in-office. We maintain offices in Austin, San Francisco, New York City, Seattle, Los Angeles, Chicago, Gurugram, and Bengaluru. If you’re located near one of these offices, we welcome regular in-office presence. Some roles are hybrid.

Role

As a Data Science Manager for Application Fraud at SentiLink, you will directly manage a team of talented data scientists that build our suite of products: models that identify fraudsters and also advance our growing suite of products in financial risk. In this capacity, you will be a technical leader, mentor, and owner of your respective domain, both for your own team and the organization. Utilize your strong data science skills to mentor your team, probe their understanding and challenge them to do their best work. Your team will often work on projects with high visibility and impact that require deep domain understanding, critical thinking, and strong technical abilities. This role requires managing full‑stack data scientists, whose work involves model development, analysis, and writing production code. You should share that skillset and be interested in having end‑to‑end ownership in a fast‑moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage.

Technologies

Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)

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 data‑science solutions on aggressive timelines.
• Develop and maintain SentiLink’s fraud detection models through the full model development life‑cycle: 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 and a relevant Masters, or 7+ years and a 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 data‑science/ML solutions.
• Experience communicating outcomes and progress to senior management and stakeholders.
• Very strong in end‑to‑end data‑science development: planning, scoping, metrics, buy‑in, solution development, delivery (product, deck, strategy doc, etc.).
• Strong practical ML and statistics knowledge, able to employ a suite of standard ML/stat tools quickly and deepen as needed. Experience with state‑of‑the‑art ML solutions is a plus.
• Interest in developing deep domain expertise for product‑focused work; 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.
• Thrives in a fast‑paced environment with varied, high‑impact, open‑ended problems.
• Bonus for familiarity with identity solutions, fintech, or adjacent industries.
• Candidates must be legally authorized to work in the United States and must live in the United States.

Compensation

$210,000-$260,000/year + equity + benefits

Perks

• Employer‑paid group health insurance for you and your dependents
• 401(k) plan with employer match (or equivalent for non‑US‑based roles)
• Flexible paid time off
• Regular company‑wide in‑person events
• Home office stipend, and more!

Corporate Values

• Follow Through
• Deep Understanding
• Whatever It Takes
• Do Something Smart