SentiLink is building the future of identity verification in the United States. The existing ways to determine if somebody is who they claim to be are too clunky, ineffective, and expensive, but we believe strongly that the future will be 10x better. 

We’ve had tremendous traction and are growing extremely quickly. Already our real-time APIs have helped verify hundreds of millions of identities, beginning with financial services. We’ve recently raised a $70M Series B round, led by Craft Ventures to rapidly scale our best in class products. We’ve earned coverage and awards from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and others. And we’ve even been a part of history--we were the first company to go live with eCBSV and testified before the United States House of Representatives.

As a Sales Support Data Scientist at SentiLink, you will be responsible for our pushing through pilot studies. Pilot studies are the way a financial institution is introduced to our fraud score products -- by securely sharing past accounts with us, we process data, run it through our API, and quickly generate analysis to explain how much fraud SentiLink’s solutions will stop. As such, your work will be the first encounter financial institutions have with SentiLink’s products. SentiLink is growing rapidly and you will be a core component of enabling that growth.

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

This is a remote, US-based role.

Responsibilities:

• Clean, QA, and process through our API millions of applications a month
• Develop Python scripts, write SQL queries, working with data scientists and engineers
• Analyze and visualize fraud rates, trends, and product performance, collaborating with sales and the go-to-market team
• Develop automation for faster processing and safer QA
• Coordinate across different teams to handle time-sensitive activities
• Support partner success with analyses
• Improve product monitoring, including performance, calibration, and latency

Requirements:

• Python experience
• Master’s or Undergraduate degree in STEM field, or additional relevant experience
• Internship experience, including numerical or programming work
• Comfort with probability and developing statistical analyses
• Detail oriented: someone we can trust to create work shared directly with our partners
• Motivated and excited to work in a fast-growing startup
• SQL experience preferred
• Candidates must be legally authorized to work in the United States and must live in the United States

Perks:

• Remote work with home office stipend, and regular company-wide in-person events
• Lunch, coffee and snacks during the work day are fully reimbursable
• We pay for healthcare for you and your dependents
• . . . and other typical start-up benefits (e.g. 401k match, unlimited PTO, etc.)

Corporate Values:

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