Machine Learning Researcher Visa Sponsorship Jobs in Connecticut
Machine learning researcher jobs in Connecticut draw from a concentrated corridor of tech-forward employers and research institutions. Pfizer, United Technologies, and Yale University anchor sponsorship activity across New Haven and Hartford, while insurance and financial services firms like Travelers and Aetna maintain applied AI research teams that regularly file for specialty occupation visas.
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THE POSITION
The State of Connecticut’s Office of Policy and Management (OPM) is currently seeking a qualified individual for the position of Data Scientist in their Health Information Technology Division (HIT).
WHAT WE CAN OFFER YOU
* Visit our State Employee Benefits Overview page!
* Professional growth and development opportunities.
* A healthy work/life balance to all employees.
HIGHLIGHTS
This is a full time position conveniently located in Hartford, CT, easily accessible to all major highways.
* LOCATION: OPM, Health Information Technology Division
* ADDRESS: 450 Capitol Avenue, Hartford, CT
* WORK HOURS: Full-time, first shift, 40 hours per week
* SCHEDULE: Monday through Friday
About us
At OPM we report directly to the Governor and provide information and analysis that the Governor uses to formulate public policy for the state. We also assist state agencies and municipalities in implementing the law and public policy on behalf of the people of Connecticut. We prepare the Governor’s budget proposals; implement and monitor the execution of the enacted budget; and oversee the executive branch agencies that report to the Governor.
Selection Plan
FOR ASSISTANCE IN APPLYING:
Check out our Applicant Tips on How to Apply! Need more resources? Visit our Applicant Reference Library for additional support throughout the recruitment process.
BEFORE YOU APPLY:
* Meet Minimum Qualifications: Ensure you meet the Minimum Qualifications listed on the job opening by the job closing date. You must specify your qualifications on your application. The minimum experience and training requirements listed must be met by the close date on the job opening, unless otherwise specified.
* Educational Credits: List your earned credits and degrees from accredited institutions accurately on your application. To receive educational credits towards qualification, the institution must be accredited. If the institution of higher learning is located outside of the U.S., you are responsible for providing documentation from a recognized USA accrediting service which specializes in determining foreign education equivalencies to the contact listed below.
* Resume Policy: Per Public Act 21-69, resumes are not accepted during the initial application process. As the recruitment process progresses, candidates may be required to submit additional documentation to support their qualification(s) for this position. This documentation may include: a cover letter, resume, transcripts, diplomas, performance reviews, attendance records, supervisory references, licensure, etc., at the request and discretion of the hiring agency.
* Preferred Shift/Location: Select all location(s) and shift(s) you are willing to work on your application. Failure to do so may result in not being considered for vacancies in that specific location or shift.
* Timely Submission: All application materials must be received by the job posting deadline. You will be unable to make revisions once you officially submit your application to the State. Late submissions are rarely accepted, with exceptions only for documented events that incapacitate individuals during the entire duration of the job posting. Request exceptions by emailing DAS.SHRM@ct.gov.
* Salary Calculations: For current state employees, salary calculations are not necessarily comparable from one of the three branches of state government (i.e., Executive, Legislative, Judicial) to the other.
* Note: The only way to apply to this posting is via the ‘Apply’ or ‘Apply Online’ buttons on the official State of Connecticut Online Employment Center job posting.
AFTER YOU APPLY:
* Some email providers may experience delays or issues delivering messages. To avoid missing important updates—such as referral questionnaires or interview scheduling links—please check your Personal Status Board regularly.
* For added convenience, you can also enable text (SMS) notifications. To do this, log in to your Personal Status Board and select “Update My Contact Information.”
* Referral Questions: This posting may require completion of additional Referral Questions (RQs), which must be completed by the questionnaire’s expiration date. If requested, RQs can be accessed via an email sent to you after the job close date or by visiting your JobAps Personal Status Board (Certification Questionnaires section).
* Prepare For An Interview: Interviews are limited to those whose experience and training are most aligned with the role. To prepare, review this helpful Interview Preparation Guide to make the best impression!
* Stay connected! Log in daily to your JobAps Personal Status Board to track your status and check email (including spam/junk folders) for updates and tasks.
* The immediate vacancy is listed above, however, applications to this recruitment may be used for future vacancies in this job class.
* Note: This position will be filled in accordance with contractual language, reemployment, SEBAC, transfer, promotion and merit employment rules. Candidates who are offered and accept a position with the State of Connecticut are bound by the State Code of Ethics for Public Officials and State employees, available at www.ct.gov/ethics.
QUESTIONS? WE’RE HERE TO HELP:
Due to high volume, we are unable to confirm receipt or provide status updates directly. For recruitment updates, please check your Personal Status Board and review our Frequently Asked Questions. If you have additional questions about the recruitment process, reach out to opm.recruitment@ct.gov.
PURPOSE OF JOB CLASS (NATURE OF WORK)
In a state agency this class is responsible for independently performing a full range of tasks in the data management, analysis, and predictive activities to support data-driven decision-making.
EXAMPLES OF DUTIES
* Perform statistical analysis, predictive modeling, and machine learning using large-scale health care claims data;
* Assess data quality and completeness assessment, 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; and
* Perform related duties as required.
KNOWLEDGE, SKILL AND ABILITY
* Knowledge of
+ methods of research design, statistical analysis and data management;
+ management and development of principles related to data and analytics projects;
+ relevant state and federal statutes, regulations and guidelines;
+ data preparation and management and related tools and technology to implement data and analytics projects;
+ data governance and data management practices;
* Skills
+ interpersonal skills;
+ oral and written communication skills;
* Ability to
+ conduct analysis, including collecting and preparing data, and summarizing and reporting conclusions;
+ perform data analysis including identifying and using appropriate data and quantitative frameworks to support program and/or policy decisions;
+ use relevant software, tools for spatial analysis, and/or programming languages to run analyses and generate reports and visualizations;
+ develop project designs and implement them independently;
+ prepare clear and accurate summaries, visualizations, and dynamic reports or dashboards based on data findings;
+ translate data and analysis into policy or program recommendations.
MINIMUM QUALIFICATIONS - GENERAL EXPERIENCE
Seven (7) years of professional experience in data analytics, quantitative methods, or geographic information systems, involving statistical modeling or spatial data analysis.
MINIMUM QUALIFICATIONS - SPECIAL EXPERIENCE
One (1) year of the General Experience must have been at the junior working level assisting in the performance of data management, analysis, and predictive activities to support data-driven decision-making.
NOTE: For state employees this experience is interpreted at the level of an Assistant Data Scientist.
MINIMUM QUALIFICATIONS - SUBSTITUTIONS ALLOWED
* College training in data science, mathematics, statistics, biostatistics, epidemiology, public health, psychology, computer science, geographic information systems, geography, or a closely related field may be substituted for the General Experience on the basis of fifteen (15) semester hours equalling one-half (1/2) year of experience to a maximum of four (4) years for a Bachelor’s degree.
* A Master’s degree in data science, mathematics, statistics, biostatistics, epidemiology, public health, psychology, computer science or a closely related field may be substituted for one (1) additional year of the General Experience.
PREFERRED QUALIFICATIONS
* Experience analyzing large-scale healthcare claims and non-claims data such as clinical, provider, quality, 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, collection strategies or establishing new health data collection.
* Experience with 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 other similar statistical application.
* 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.
Machine Learning Researcher Job Roles in Connecticut
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Search Machine Learning Researcher Jobs in ConnecticutMachine Learning Researcher Jobs in Connecticut: Frequently Asked Questions
Which companies in Connecticut sponsor visas for machine learning researchers?
Connecticut's most active sponsors for machine learning researcher roles include Pfizer's research division in Groton, Travelers Insurance and Aetna in Hartford, and United Technologies research operations. Yale University and the University of Connecticut also sponsor research-focused positions. These employers have established H-1B visa and EB-2 sponsorship histories for roles requiring advanced degrees in computer science, statistics, or a directly related STEM field.
Which visa types realistically fit machine learning researcher roles in Connecticut?
Machine learning research qualifies as a specialty occupation, making the H-1B the primary option for most international candidates. F-1 students with STEM-designated degrees can use OPT and the 24-month STEM OPT extension before pursuing H-1B. Singaporean nationals may consider the H-1B1 visa, and Australian nationals the E-3 visa, both of which cover specialty occupations. For candidates with an advanced degree or exceptional ability, the EB-2 green card, including the National Interest Waiver, is a common long-term pathway.
Which cities in Connecticut have the most machine learning researcher sponsorship jobs?
Hartford leads Connecticut for machine learning researcher sponsorship activity, driven by major insurance and financial services employers with active AI research programs. New Haven is a close second, anchored by Yale University and its affiliated research centers. Groton and Stamford also see meaningful activity, with Pfizer's research campus and a cluster of fintech and data-driven firms respectively filing for specialty occupation roles in this field.
How to find machine learning researcher visa sponsorship jobs in Connecticut?
Migrate Mate lists Connecticut employers with verified sponsorship histories for machine learning researcher roles, letting you search specifically for companies that have filed for specialty occupation positions in this field. This is more targeted than general job searches because the listings are drawn from confirmed employer filing activity, not self-reported postings. Filter by role and state to see which Hartford, New Haven, and Stamford employers are actively sponsoring.
Are there state-specific factors that affect machine learning researcher hiring and sponsorship in Connecticut?
Connecticut's machine learning research hiring is shaped by two distinct pipelines: the life sciences and pharmaceutical corridor along the southeastern coast, and the insurance and financial services cluster concentrated in Hartford. Both sectors rely heavily on advanced quantitative research, creating consistent demand for candidates with graduate-level machine learning expertise. Yale University and UConn both feed local employer pipelines, and candidates who complete degrees at these institutions are well-positioned for OPT-to-H-1B transitions with Connecticut-based sponsors.
What is the prevailing wage for sponsored machine learning researcher jobs in Connecticut?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.