A prominent insurance startup in NYC is looking for an experienced Data Scientist. This is a tech startup backed by a major insurance company. They're looking for an easier way to work with commercial insurance. Ultimately looking for a way to be free from inefficiency and legacy systems. This company has invented a tech enabled system that helps underwriting and claims services. Essentially giving brokers and small companies an easier way and more time to focus on what really matters - growing their businesses. If you're excited and determined to work hard then this Data Engineer position will be the perfect fit.
Ph.D in scientific disciplines
3+ years of industry experience post Ph.D
Scientific expertise and applied experience in Machine Learning
Strong knowledge of Natural Language Processing
Comprehension of advanced statistical theories, methodologies, and inference tools (Bayesian inference, hierarchal models, deep learning, Gaussian processes, and causal inference)
Highly developed programming skills in Python and/or R (all related data processing, Machine Learning, and visualization libraries)
Experience in preparing data for Machine Learning
The capability and skill to work independently and to anticipate problems
Superb written and oral skills
Prepare innovative solutions for business developed using hard scientific approaches
Ability to use data and third party data to ignite automation and decisions within the startup
Use AI algorithms that can produce (predictive) patterns in large multi-modal data
Work in highly cross-functional and conjoined teams together with developers, designers, analysts, underwriters, and claims adjusters
Take charge of development and implementation of ideas and solutions
401(k) employee matching program
Medical, dental, vision, and life insurance coverage
Pre-tax commuter benefits
Unlimited vacation days
Casual dress code
Snack, drinks, and other startup perks
Sthree US is acting as an Employment Agency in relation to this vacancy.
Associated topics: data architect, data center, data integration, data manager, data scientist, data warehouse, database, etl, mongo database, sybase
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.