[Remote] Data Science Manager at SentiLink

Austin, Texas, United States

SentiLink Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Identity Verification, Risk SolutionsIndustries

Skills

Key technologies and capabilities for this role

Data ScienceModel DevelopmentAnalysisProduction CodeTechnical LeadershipMentorshipFinancial RiskFraud Detection

Questions & Answers

Common questions about this position

Is this Data Science Manager role remote?

Yes, this is a remote, US-based role.

What technologies are used in this role?

The role utilizes Python 3, PostgreSQL, and AWS infrastructure including EC2, S3, RDS, and Redshift.

What is the salary for the Data Science Manager position?

This information is not specified in the job description.

What team size will I manage as Data Science Manager?

You will start by directly managing 2-3 data scientists and grow the team to 5-6.

What skills make a strong candidate for this Data Science Manager role?

Strong candidates should have full-stack data science skills including model development, analysis, production code writing, technical leadership, mentoring, and deep domain knowledge in fraud detection.

SentiLink

Machine learning solutions for identity fraud detection

About SentiLink

SentiLink provides solutions to help financial institutions prevent identity fraud. Their main product uses machine learning models to detect fraudulent activities during the application process. By analyzing data and reviewing cases with a team of risk analysts, SentiLink offers insights that help clients make informed decisions about approving customers. What sets SentiLink apart from competitors is their ability to adapt their products to various types of fraud and customize them to meet the specific needs of each client. The goal of SentiLink is to enable financial institutions to minimize fraud losses while maintaining a positive customer experience.

San Francisco, CaliforniaHeadquarters
2017Year Founded
$81.7MTotal Funding
SERIES_BCompany Stage
Fintech, AI & Machine Learning, Financial ServicesIndustries
51-200Employees

Benefits

Health Insurance
401(k) Retirement Plan
401(k) Company Match
Unlimited Paid Time Off
Home Office Stipend

Risks

Sophisticated fraud techniques may outpace SentiLink's current detection capabilities.
Dependence on high-quality data could impact fraud detection effectiveness if data quality declines.
Intense competition in the fintech sector may threaten SentiLink's market position.

Differentiation

SentiLink specializes in detecting synthetic identities using proprietary machine learning models.
The company offers customizable solutions that integrate seamlessly with clients' existing systems.
SentiLink's Facets tool provides feature-specific intelligence to enhance fraud detection accuracy.

Upsides

Growing demand for synthetic identity fraud detection boosts SentiLink's market potential.
Partnerships with Scienaptic AI and Persona enhance SentiLink's fraud detection capabilities.
API-based solutions allow SentiLink to offer seamless integration and customization.

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