Data Scientist II
Summary
Fully remote (US) Data Scientist II at healthcare company Cohere Health: analyze healthcare claims and authorization data to find outliers and trends, build and fine-tune LLM/deep-learning models for anomaly detection and classification, and develop AWS Airflow/PySpark pipelines plus Tableau dashboards to support business decisions.
Data Scientist II, Cohere Health, Inc., Boston, Massachusetts (Remote)
Duties: Gather business requirements and apply trend analysis to identify actionable insights using analytic tools. Analyze healthcare claims and authorization data to identify outliers, interpret patterns, and assess trends and opportunities. Apply large language models (LLMs), stochastic optimization methods, and related technologies to support decision-making. Monitor industry trends, regulatory changes, and emerging fraud schemes to support detection strategy development, maintain methodology documentation, and present findings to leadership. Train, fine-tune, and implement LLMs and deep learning models for tasks such as anomaly detection, classification, and automated analysis of security-related or operational data. Analyze datasets to assess expected impacts and return on investment, including effects on medical expense, administrative cost, and clinical outcomes. Develop data models, algorithms, and simulations to support analytical objectives. Build visualizations and dashboards to communicate analytical findings and support business workflows.
This is a fully remote position and may be performed from anywhere within the United States. Occasional travel to company headquarters in the U.S. for onboarding, team meetings, and company events may be required.
Requirements:
Must have a Master’s degree in Data Science, Statistics, Biostatistics or related field (willing to accept foreign education equivalent) and 36 months of experience as Analyst or related position analyzing datasets.
Must possess three (3) years of experience (may be gained concurrently with above experience) in the following skills:
- Analyzing healthcare datasets, including EMR/EHR data, medical and pharmacy claims data, and Social Determinants of Health (SDoH) data;
- Performing data quality analysis to identify data quality issues, gaps, or inconsistencies;
- Building scalable AWS Airflow pipelines to ingest, integrate, and transform terabytes of data using Python and PySpark and AWS S3 storage, and accelerate business decision-making in AWS Sagemaker;
- Utilizing trend identification and data analysis methods such as regression analysis and outlier detection model in python, spark and sql.;
- Building and implementing models, creating algorithms, and running simulations;
- Developing Tableau visualization and partnering with product owners and stakeholders to drive enterprise-level solutions that integrate data science into business workflows;
- Developing NLP, LLMs (extractive and generative), fine-tuning, and LLM model development.
Salary range is $137,000.00 to $161,000.00 per year for a 40-hour work week.
#LI-DNI
-
#BI-DNI
-
Skills
As published by greenhouse · 26 questions
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter
Short answers (6)
- Preferred First Name optional
- LinkedIn Profile optional
- Website optional
- If you answered "yes" to the above, what is the name of the employee? If you answered "no", please type "N/A."
- What is your legal mailing address?
- I HAVE READ THE CERTIFICATION ABOVE AND UNDERSTAND AND AGREE TO ITS TERMS. Please type your name and the date.
Pick from a list (20)
- Do you have a Master’s degree in Data Science, Statistics, Biostatistics or related field?
- Do you have three (3) years of experience as an Analyst or related position analyzing datasets?
- Do you have three (3) years of experience analyzing healthcare datasets, including EMR/EHR data, medical and pharmacy claims data, and Social Determinants of Health (SDoH) data?
- Do you have three (3) years of experience performing data quality analysis to identify data quality issues, gaps, or inconsistencies?
- Do you have three (3) years of experience building scalable AWS Airflow pipelines to ingest, integrate, and transform terabytes of data using Python and PySpark and AWS S3 storage, and accelerate business decision-making in AWS Sagemaker?
- Do you have three (3) years of experience utilizing trend identification and data analysis methods such as regression analysis and outlier detection model in python, spark and SQL?
- Do you have three (3) years of experience building and implementing models, creating algorithms, and running simulations?
- Do you have three (3) years of experience developing Tableau visualization and partnering with product owners and stakeholders to drive enterprise-level solutions that integrate data science into business workflows?
- Do you have three (3) years of experience developing NLP, LLMs (extractive and generative), fine-tuning, and LLM model development?
- Are you able to travel to company headquarters in the U.S. for onboarding, team meetings, and company events?
- Our base salary range for this role is $137,000 - $161,000 annually. Do you acknowledge and agree that this range aligns with your compensation expectations?
- Are you at least 18 years of age?
- How did you hear about us?
- Have you been previously employed at Cohere Health?
- Do any of your immediate family members work at Cohere Health?
- In which of the following locations do you live?
- Are you eligible and legally able to work in the United States?
- Do you now, or will you in the future require immigration sponsorship for work authorization?
- Are you currently, or have you ever been, excluded from, debarred or otherwise ineligible to participate in state or federally funded programs (“Government Programs”) or federal healthcare programs as defined in 42 USC § 1320a-7b(f) (“Federal Programs”)?
- I understand that if I receive an offer of employment from Cohere Health that a background check will be performed on my behalf.