Data Scientist, Algorithms

Middesk

United States

United States

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About

About Middesk Middesk makes it easier for businesses to work together. Since 2018, weve been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data. Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle. Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List and cited as an industry leader in business verification by digital identity strategy firm, Liminal. The Role: Middesk is, at its core, a data company. We live and die by the quality of our data asset and the engine that powers it. Data Science plays a pivotal role in building, maintaining, and leveraging both the data asset and engine. As a Data Scientist, you are responsible for what differentiates Middesk. We are looking for an individual to grow, develop, and define what the "data scientist" role will look like at Middesk for the years to come. As one of the founding Data Scientists, you will have the opportunity to both build and lead. You will be responsible for building 0-1 and big-data-scale Data Products that our customers and stakeholders use to inform and productionize their most critical decisions. Data Products include, but are not limited to, data models and ETL pipelines, reporting dashboards, business and product impact sizing, decision/ROI/trade-off frameworks, ML-based classification and scoring models, fine-tuned foundation models. This role will have a stronger focus on algorithms- driven Data Products. What You'll Do: Build and improve systems and tools (e.g. our core Entity Resolution engine and Experimentation Platform, LLM-evaluations) that make our Business Identity data asset best-in-class.
Derive unique and impactful insights from the most comprehensive Business Identity dataset in the US to implement fraud and risk solutions.
Design and shape strategies to build proprietary datasets and graph representations that will differentiate our Business Verification and Risk products and unlock new customer use cases.
Play a critical role in scaling our Data Science function - shaping our culture, processes, and identity within the broader Middesk team.
What Were Looking For: 3+ years of professional working experience in a data science (algorithms) / machine-learning engineer role.
Top-notch analytical skills to go deep, break down, and solve complex, ambiguous problems.
Technically proficient in uncovering insights and producing data products that leverage these insights.
Proven ability to collaborate and lead cross-functionally.
Excellent written and oral communication skills.
Full-stack Data Scientist with a spike in Algorithms/ML/Engineering but can stretch across Analytics and Analytics Engineering domains when needed.
Great business judgment with the ability to effectively reason and prioritize from first-principles.

United States

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English

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