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Solutions Analytics Data Scientist

Remote role Full-time Open position

SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transaction with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.

We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.

We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50 list every year since 2023. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity.

SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.

About the Opportunity:

As a Solutions Analytics Data Scientist, you will play a crucial role in enabling current and prospective partners to implement and optimize SentiLink products. You will conduct data evaluations that demonstrate how SentiLink’s solutions add measurable value to partners' businesses. This includes analyzing partner data, interpreting key data science metrics, and illustrating product performance. For existing partners, you will provide ongoing performance assessments, support product evaluations, and deliver custom analyses to help partners understand fraud patterns and their impact on consumers and business operations.

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

This is a remote, US-based role.

Responsibilities:

  • Conduct comprehensive data evaluations for prospective partners, demonstrating SentiLink's product value through clear data science metrics.

  • Analyze performance data from current partners to ensure optimal product use and provide actionable recommendations.

  • Collaborate with cross-functional teams, including Product, Data Science, and Engineering, to enhance product performance and address partner-specific needs.

  • Deliver ad hoc analyses and reports that provide deep insights into fraud trends, consumer behavior, and partner-specific challenges.

  • Communicate complex data findings effectively through visualizations, reports, and presentations tailored to both technical and non-technical stakeholders

Requirements:

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.

  • Proven experience in data analysis, modeling, and performance evaluation.

  • Strong proficiency in data tools and languages such as Python, R, SQL, and data visualization libraries (e.g., Tableau, matplotlib).

  • Ability to interpret and communicate complex data insights to both technical and business audiences.

  • Exceptional problem-solving and analytical skills with a focus on actionable results.

  • Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is

  • Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems.

  • Nice to have: Familiarity with fraud detection, risk assessment, or related data-driven business solutions

  • Candidates must be legally authorized to work in the United States and must live in the United States.

Salary Range:

  • $130,000/year - $150,000/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

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