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Data Science Manager Jobs in Berlin, CT (NOW HIRING)

In this position, you will work independently on data science projects of any scale and you will be ... Work on a portfolio of projects simultaneously and are expected to adequately manage their own time ...

In this position, you will work independently on data science projects of any scale and you will be ... Work on a portfolio of projects simultaneously and are expected to adequately manage their own time ...

Lead Data Scientist

Plainville, CT · On-site

$144K - $198K/yr

Run analytics assets in production: keep all assets accurate and reliable and manage analytics ... Bachelor's degree in data science or related field preferred * Master's degree preferred

Lead Data Scientist

Manchester, CT · On-site

$144K - $198K/yr

Run analytics assets in production: keep all assets accurate and reliable and manage analytics ... Bachelor's degree in data science or related field preferred * Master's degree preferred

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Within Customer Operations Data Science, we build modern AI products that optimize customer ... Understanding of data quality, data governance, and data lifecycle management principles.

Reporting to the Director of Applied AI & Data Science, this role partners closely with business ... prompt/version management, and incident response runbooks. * Apply responsible AI practices ...

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Showing results 21-40

Data Science Manager information

See Berlin, CT salary details

$30.7K

$96.3K

$170.5K

How much do data science manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science manager in Berlin, CT is $96,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 per year, depending on experience, location, and employer.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring timely delivery of data-driven solutions.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What cities near Berlin, CT are hiring for Data Science Manager jobs? Cities near Berlin, CT with the most Data Science Manager job openings:

$125K/yr

Part-time

Posted 5 days ago


Job description

The Data Scientist-Northeast Program Evaluation Center (NEPEC) is organizationally part of the VA Central Office (VACO) Office of Mental Health and Suicide Prevention (OMHSP). This position is in direct communication with OMHSP, as well as the Director and Associate Directors of NEPEC. The primary purpose of this position is to evaluate VA specialized mental health systems.Qualifications:Applicants pending the completion of educational or certification/licensure requirements may be referred and tentatively selected but may not be hired until all requirements are met.
Basic Requirements:
  • United States Citizenship: Non-citizens may only be appointed when it is not possible to recruit qualified citizens in accordance with VA Policy.
  • English Language Proficiency. In accordance with 38 U.S.C. 7402(d), no person shall serve in direct patient care positions unless they are proficient in basic written and spoken English.
Individual Occupational Requirements:
  • Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. (Transcript must be submitted).
OR
  • Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph above, plus additional education or appropriate experience.
AND
Time-In-Grade Requirement:
  • Applicants who are current Federal employees and have held a GS grade any time in the past 52 weeks must also meet time-in-grade requirements by the closing date of this announcement. For a GS-13 position you must have served 52 weeks at the GS-12. The grade may have been in any occupation, but must have been held in the Federal service. An SF-50 that shows your time-in-grade eligibility must be submitted with your application materials. If the most recent SF-50 has an effective date within the past year, it may not clearly demonstrate you possess one-year time-in-grade, as required by the announcement. In this instance, you must provide an additional SF-50 that clearly demonstrates one-year time-in-grade. Note: Time-In-Grade requirements also apply to former Federal employees applying for reinstatement as well as current employees applying for Veterans Employment Opportunities Act of 1998 (VEOA) appointment.
You may qualify based on your experience and/or education as described below:
  • Specialized Experience GS-13: You must have one year of specialized experience equivalent to at least the next lower grade GS-12 in the normal line of progression for the occupation in the organization. Examples of specialized experience would typically include, but are not limited to: Conduct program evaluation projects involving large and complex healthcare data sets, Develop and maintain electronic program monitoring tools for wide dissemination of data, Expertise with natural language processing to analyze data and interpret results.
You will be rated on the following Competencies for this position:
  • Analytical Thinking
  • Attention to Detail
  • Customer Service
  • Data Management
  • Database Administration
  • Database Management Systems
  • Decision Making
  • Flexibility
  • Integrity/Honesty
  • Interpersonal Skills
  • Learning
  • Reasoning
  • Research
  • Self-Management
  • Stress Tolerance
  • Teamwork

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Note: A full year of work is considered to be 35-40 hours of work per week. Part-time experience will be credited on the basis of time actually spent in appropriate activities. Applicants wishing to receive credit for such experience must indicate clearly the nature of their duties and responsibilities in each position and the number of hours a week spent in such employment.
Preferred Experience:
The Incumbent will conduct program evaluation projects involving large and complex healthcare data sets using knowledge about multiple fields of research that bridge diverse disciplines.
Projects will require expertise to analyze data, and interpret results. Responsibilities include working on national work groups, providing technical support, implement OMH initiatives, serving as a liaison to other program offices, and write programs that use extremely large relational datasets to create complex measurements, analyze measurements, and summarize measurement data. Program evaluation includes, but are not limited to locate data and write SQL code to accurately identify a patient cohort of interest in VA's corporate data warehouse (CDW) and populate a table for this cohort with diverse data such as demographics, diagnoses, appointments, and VHA encounters.
Develops and maintains electronic program monitoring tools for wide dissemination of data inside and outside VA, including to VA Central Office, Office of Informatics and Analytics, professional organizations, and the public. These monitoring tools will include interactive reports and dashboards with the use of advanced data visualization software (e.g., Microsoft Power BI or SQL Server reporting Services).
The incumbent actively participates in national initiatives involving data syndication and data interoperability and collaborates with internal and external subject matter and data experts in data innovation and migration projects. Specifically, the data scientist will be heavily involved in VA's efforts to transition from VistA to the Federal electronic health record (EHR), a project of national significance. The incumbent may provide technical and scientific supervision of the work of staff assigned to these projects and monitor progress toward project goals and deadlines.
Attend conference calls or briefings about relevant activities in lieu of the Director or Deputy Director, review materials, and report on these activities.
This is a full performance level, non-supervisory position that is located in the Northeast Program Evaluation Center, which is within the Office of Mental Health (OMH), VA Central Office. The position reports to the NEPEC Deputy Director and works directly with senior leadership of the office.
The purpose of this position is to serve as a senior data scientist within NEPEC and advise the NEPEC leadership and others on a broad range of issues related to health care data. This position is to evaluate VA mental health systems, oversee and develop procedures, guidelines to enhance program monitoring and support the strategic priorities of the OMH. The range of activities includes ensuring that data products are continuously accessible, and engages in inter-agency collaboration, program evaluation with various health care data and participates in strategic planning around VHA's health care data.
The incumbent must be able to formulate projects related to clinical services, define data management and data syndication standards for assessing novel data infrastructure, and investigate and resolve unusual and highly technical problems with big health care data. To be successful, the incumbent must work productively with diverse elements outside VA (e.g., GAO, other Federal agencies, Oracle, and academic institutions), and advise leadership on communicating with these external stakeholders.
Reference: For more information on this qualification standard, please visit https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/.
Physical Requirements: Sedentary, some walking, sitting, standing and carrying of light items.Education:Note: Only education or degrees recognized by the U.S. Department of Education from accredited colleges, universities, schools, or institutions may be used to qualify for Federal employment. You can verify your education here: http://ope.ed.gov/accreditation/. If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/.Employment Type: OTHER