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Data Scientist
Posted on: 29 Dec 2021
San Francisco, CA
Job Description
Responsibilities
Become an expert user of the LeapYear platform with its breadth of analytic and machine learning capabilities that maintain the mathematical standard of differential privacy
Work with data at scale, leveraging the LeapYear platform’s Spark compute engine to support fast, distributed processing of massive datasets
Interact with customers to understand and solve their problems and deliver high performance solutions across an exciting range of industries
Influence the direction and development of LeapYear software by pushing the limits of current capabilities and collaborating with product and engineering teams to blaze new trails
Requirements
MS or PhD in a quantitative discipline, e.g., Sciences, Mathematics, Engineering, Economics
Strong mathematical fundamentals, particularly statistics and linear algebra
2+ years of professional experience as a data scientist or comparable role
Applied experience and theoretical understanding of basic machine learning methods of regression and classification (supervised and unsupervised), such as linear models and tree-based methods. Familiarity with more advanced methods is beneficial
Programming: advanced Python, familiarity at least 2 other common languages (e.g., SQL, R, SAS, MATLAB); ability to translate and communicate code across languages
Creative problem solver with the ability to drive a project and work both independently and in a team
Outcome oriented, motivated by high impact opportunities
Excellent verbal and written communication
Preferred
Professional experience in consulting or similar customer-centric environment
Graduate-level studies or equivalent experience with differential privacy or other cryptographic privacy techniques
A portfolio of projects (GitHub, papers, etc.) is a plus
Experience in financial services
LeapYear Technologies, Inc.
Berkeley, CA
LeapYear is the world’s first platform for differentially private reporting, analytics and machine learning. We enable enterprises across highly regulated industries to safely create value from their most sensitive datasets.
The platform embeds mathematically proven privacy into every computation, statistic and model enabling analysts and data scientists to generate insights from data without exposing the data itself. Our customers safely leverage and share data across institutional silos, geographic borders and with third parties, all while preserving privacy and confidentiality.
LeapYear is deployed in production, at multi-petabyte scale, across global 1000 financial institutions, healthcare companies, and insurers.
The rise of large-scale data collection and machine learning has been accompanied by pressing questions related to privacy, security, and data access.
LeapYear builds technology to address these issues in a scalable, rigorous, and future-proof way.
With LeapYear, some of the largest enterprises in the world are able to break down data silos, form data partnerships, and accelerate the adoption of machine learning, all with mathematically proven privacy protection.
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IndustryInformation Technology
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No. of Employees48
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Website
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Jobs Posted39
