Staff Data Scientist

September 19

Apply Now
Logo of SentiLink

SentiLink

51 - 200

πŸ’° $70M Series B on 2021-08

Description

As a Staff Data Scientist at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. As a senior member you will be relied upon to be a technical leader, mentor and owner of your respective domain, both within the team and the organization. As such you will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies.

Requirements

6+ years relevant work experience & relevant PhD or 8+ years & relevant Masters. 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 β€œend 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. 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

Benefits

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!

Apply Now

Similar Jobs

September 18

Coinbase

1001 - 5000

Staff Data Scientist to lead pricing experimentation for Coinbase's Retail Trading Team.

September 18

Airbnb

5001 - 10000

Develop next-gen pricing guidance algorithms for Airbnb hosts.

September 16

Appspace

201 - 500

Data Scientist driving analytics and reporting for Appspace customers.

September 15

HP France

1001 - 5000

Drive AI/ML innovation as a Principal Data Scientist at HP.

September 15

HP France

1001 - 5000

Data Scientist at HP leveraging AI/ML to drive innovation and enhance customer experience.

Built byΒ Lior Neu-ner. I'd love to hear your feedback β€” Get in touch via DM or lior@remoterocketship.com