CLARA Analytics · 5 hours ago
Senior Data Scientist
NYC Metro Area
Full-time
Remote
Senior Level
5+ years exp
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Responsibilities
Perform exploratory data analysis (EDA) as required when building new models or evaluating existing models.
Build and optimize NLP models to extract, classify, and summarize information from unstructured text such as claims documents, policies, and customer interactions.
Partner with cross-functional teams, including actuaries, product managers, and software engineers, to align AI solutions with business goals.
Participate in code and model reviews to ensure high-quality, version-controlled artifacts and objects are available to support transparency, traceability, and explainability of all work.
Document methodologies, assumptions, and findings, and communicate results to technical and non-technical stakeholders effectively.
Ensure all AI solutions adhere to ethical guidelines and comply with relevant data privacy and industry standards.
Translating data science principles & methods into business relevant messaging for leadership.
Qualification
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Required
MS degree in a quantitative discipline (e.g., artificial intelligence, statistics, operations research, economics, computer science, mathematics, physics, electrical engineering)
5+ years of experience developing machine learning models, including 2+ years of model deployment experience
3+ years of practical experience in natural language processing, plus a strong academic background
Hands on experience with text preprocessing, named entity recognition, entity linking, and topic modeling
Experience with natural language processing techniques and algorithms including LSTM, RNN, CNN, and embeddings such as BERT
Ability to assess the pros and cons of different NLP methods and algorithms, break problems down into standard tasks and prototype quickly
Experience with large language models and their associated tools/platforms/frameworks (LangChain, ChatGPT, AWS Foundation Models, Llama2, etc.) for use in querying large documents and entity extraction
Proficient in Python, with experience in libraries like PySpark, Tensorflow, Pytorch, MLFlow, and NLP packages like SpaCy and NLTK
Demonstrated ability to communicate complex quantitative concepts effectively to audiences of varying technical proficiency
Preferred
PhD in quantitative discipline as described above
Experience in implementing explainable AI (XAI) techniques
Knowledge of graph-based models or reinforcement learning
Familiarity with insurance-specific regulations and data privacy standards (e.g., GDPR, HIPAA)
Understanding of insurance processes, including claims handling, risk modeling, or actuarial science
Publication or participation in AI/ML competitions is a plus
Benefits
Comprehensive health, dental, and vision insurance.
Opportunities for professional development, including conferences and training.
Company
CLARA Analytics
CLARA Analytics utilizes AI and data analytics to help insurance companies process and analyze large amounts of data related to claims.
51-200 employees
H1B Sponsorship
CLARA Analytics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)
2022 (3)
2021 (8)
2020 (6)
Funding
Current Stage
Growth StageTotal Funding
$60.5MKey Investors
Nationwide VenturesSpring Lake Equity PartnersAspen Capital Group
2024-02-21Series Unknown· undefined
2023-09-07Series C· $24M
2020-05-21Series B· $25M
Leadership Team
Eugene Wong
CFO
Greg Toll
VP, Self-Insured Sales
Recent News
2024-05-23
Company data provided by crunchbase
