Data Scientist

State of Connecticut•Hartford, CT

1d•Onsite

About The Position

The State of Connecticut’s Office of Policy and Management (OPM), Health Information Technology Division, is hiring a Data Scientist to independently perform data management, analysis, and predictive activities that support data-driven decision-making. The role focuses on large-scale health care claims data and the All-Payer Claims Database (APCD), including statistical analysis, predictive modeling, machine learning, data quality, and data standards. The position is full-time, first shift, 40 hours per week, Monday through Friday, at OPM in Hartford, Connecticut.

Requirements

Seven years of professional experience in data analytics, quantitative methods, or geographic information systems involving statistical modeling or spatial data analysis.
One year of the general experience must have been at the junior working level, assisting with data management, analysis, and predictive activities supporting data-driven decision-making.
Knowledge of research design, statistical analysis, and data management methods.
Knowledge of principles related to data and analytics project management and development.
Knowledge of relevant state and federal statutes, regulations, and guidelines.
Knowledge of data preparation and management and related tools and technology for data and analytics projects.
Knowledge of data governance and data management practices.
Interpersonal, oral communication, and written communication skills.
Ability to conduct analysis, including collecting and preparing data and summarizing and reporting conclusions.
Ability to perform data analysis and identify and use appropriate data and quantitative frameworks to support program or policy decisions.
Ability to use relevant software, spatial analysis tools, and/or programming languages to run analyses and generate reports and visualizations.
Ability to develop project designs and implement them independently.
Ability to prepare clear and accurate summaries, visualizations, and dynamic reports or dashboards based on data findings.
Ability to translate data and analysis into policy or program recommendations.
Qualifying college training in a listed or closely related field may substitute for general experience at 15 semester hours per half-year, up to a maximum of four years for a bachelor’s degree.
A master’s degree in a listed or closely related field may substitute for one additional year of general experience.

Nice To Haves

Experience analyzing large-scale healthcare claims and non-claims data, such as clinical, provider, quality, and social datasets, to provide business intelligence.
Experience conducting healthcare data quality checks, submission reviews, and follow-ups with submitters.
Experience developing data standards, specifications, governance processes, or collection strategies, or establishing new health data collection.
Experience applying advanced statistical modeling, predictive analytics, machine learning or generative artificial intelligence, and risk adjustment to healthcare data.
Experience using Python and SQL, with additional experience in R, SAS, Stata, or similar statistical applications.
Experience translating analytical findings into products such as government reports, policy briefs, peer-reviewed publications, or public-facing products.
Experience interpreting health care laws, regulations, privacy requirements, and data-use policies.

Responsibilities

Perform statistical analysis, predictive modeling, and machine learning using large-scale health care claims data.
Assess data quality and completeness, including identifying and addressing missing, inconsistent, and anomalous data.
Work directly with health plans and other data submitters through data quality reviews and payer forums.
Develop strategies for incorporating non-claims data into the All-Payer Claims Database (APCD).
Establish data standards, definitions, validation requirements, and collection methodologies.
Apply emerging data science and artificial intelligence capabilities to APCD analytics.
Perform related duties as required.