This is with our direct client opening for Data Scientist located in New York City, NY.
We're looking for a rogue Data Scientist who would push the boundaries of applying cutting-edge scientific methods and drive the development of innovative data-driven solutions within the insurance industry.
Provide innovative solutions for business problems developed using rigorous scientific approaches.
Use data (including third party data) to fuel automation and decisions within our company.
Develop and employ AI algorithms that can find (predictive) patterns in large multi-modal data.
Work in highly cross-functional and collaborative teams together with developers, designers, analysts, underwriters and claimsadjusters.
Take ownership of development and implementation of ideas and solutions.
Ph.D. in a scientific discipline (e.g., Applied Statistics/Mathematics, Computer Science, Engineering, or Physics).
3+ years industry experience post PHD
Scientific expertise and applied experience in Machine Learning.
Foundational knowledge of Natural Language Processing.
Knowledge of advanced statistical theories, methodologies, and inference tools (e.g., Bayesian inference, hierarchical models, deep learning, Gaussian processes, and causal inference).
Advanced programming skills in Python and/or R (and their related data processing, Machine Learning, and visualization libraries).
Practical experience in preparing data for Machine Learning.
The ability to work independently, anticipate problems, and forge a path into uncharted territory.
Excellent (written and oral) communication skills.
As a member of our team you will enjoy the following benefits:
A competitive salary.
401(k) employee matching program.
Medical, dental, vision, and life insurance.
Pre-tax commuter benefits.
Unlimited vacation days.
Casual dress code (jeans are welcome)
Please complete the below skills-matrix and send back with your most updated resume
Total Experience as a Data Scientist:
Total Experience with Machine Learning:
Total Experience with NLP (Natural Language Processing):
Total Experience with Statistical theories/methodologies such as Bayesian inference, deep learning, causal inference, etc:
Total Experience with Python or R:
Do you have a PHD?
Expected Full-time salary:
What is the link to your Linkedin Profile?
What is the best phone number to reach you at?
Work Status (US Citizen, Green Card, etc.):