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Data Science Manager Jobs in Connecticut (NOW HIRING)

Gartner

Sr. Data Scientist

Stamford, CT · On-site

Join our fast-growing Global Product Management Data Science team and help transform Gartner's Client Experience Digital Platform-the essential destination for IT and business leaders worldwide. As a ...

Gartner

Sr. Data Scientist

Stamford, CT · On-site

Join our fast-growing Global Product Management Data Science team and help transform Gartner's Client Experience Digital Platform-the essential destination for IT and business leaders worldwide. As a ...

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

Berkley Corporation has grown from a small investment management firm into one of the largest ... This role will challenge the status quo, apply modern data science and AI approaches, and translate ...

Gartner

Sr Data Scientist

Stamford, CT · On-site

Lead data science projects in close collaboration with IT, Data Engineering, Application development, PMO and business leaders to deliver high-value business capabilities * Architect and build ...

Gartner

Sr Data Scientist

Stamford, CT · On-site

Lead data science projects in close collaboration with IT, Data Engineering, Application development, PMO and business leaders to deliver high-value business capabilities * Architect and build ...

Gartner, Inc.

Sr Data Scientist

Stamford, CT · On-site

Lead data science projects in close collaboration with IT, Data Engineering, Application development, PMO and business leaders to deliver high-value business capabilities * Architect and build ...

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All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Connecticut

Data Science Manager information

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$29.5K

$92.4K

$163.6K

How much do data science manager jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data science manager in Connecticut is $92,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $119,400.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

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 job?

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.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

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 project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

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 are the most commonly searched types of Data Science jobs in Connecticut? The most popular types of Data Science jobs in Connecticut are:
What are popular job titles related to Data Science Manager jobs in Connecticut? For Data Science Manager jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Connecticut look for? The top searched job categories for Data Science Manager jobs in Connecticut are:
What cities in Connecticut are hiring for Data Science Manager jobs? Cities in Connecticut with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $92,412 per year, or $44.4 per hour.

Director of Applied AI & Data Science

Knights of Columbus - Council 11091

New Haven, CT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

Feel Good About Doing Good
The Knights of Columbus is a tax-exempt Catholic fraternal benefit society that provides financial security to members and their families through our life insurance, long-term care insurance, disability income insurance, investment and annuity products. Charity is at the core of our missions: our profits are donated to help those in need and to support our faith - $1.73B over the past ten years.
While we have many employees who are not Catholic, we follow the Church's teachings in our investment strategies and our employee benefits. As part of our religious mission, we support the pro-life cause by contributing to the March for Life and pregnancy resource centers, we oppose assisted suicide and euthanasia, we are evangelists for the Catholic faith, and we help Christians who are facing religious persecution in the Middle East. We all work together to support our two million members as they volunteer to help others in their parishes and communities around the world.
Share Your Talent. Live Your Purpose.
We are a growing and purpose-driven community of professionals. Join us to discover how you can meet your goals and ours!
#LI-Hybrid
Overview
The Director of Applied AI & Data Science is a senior technical leader responsible for designing, engineering and operationalizing production grade AI solutions across Life Insurance, Investments, Membership, and Charities. This role focuses on building scalable and reliable AI systems, including machine learning and generative AI (LLM) capabilities, within a governed enterprise data and AI ecosystem.
This role provides technical leadership and oversight for the Senior Applied AI & Data Scientist, Applied AI & Data Scientist, and Senior Data & AI Solutions Architect. The Director of Applied AI & Data Science ensures solutions are production-ready, resilient, cost-effective, and aligned to responsible AI and regulatory standards.
Core Responsibilities
  • Develop and deploy advanced statistical, machine learning, and AI models supporting insurance, actuarial, claims, and investment decision-making
  • Design and deliver LLM-enabled analytics and Deep Research solutions, including RAG-based approaches over structured and unstructured data
  • Perform hands-on data analysis, feature engineering, and model development using enterprise platforms (Snowflake, PostgreSQL, DB2)
  • Define model success metrics, validation approaches, and explainability standards aligned to business and regulatory expectations
  • Partner with data engineers and architects to produce models, establish monitoring, and manage model lifecycle and drift
  • Apply responsible AI practices including bias assessment, transparency, and documentation for audit and compliance review
  • Communicate analytical insights and model outcomes clearly to business leaders and technical stakeholders
  • Collaborate across analytics, engineering, risk, and compliance teams to ensure scalable, governed AI and analytics delivery

Skills Qualifications
Required:
  • Strong experience with Python and SQL and production system development.
  • Experience with Snowflake and relational databases such as PostgreSQL.
  • Experience with API development, pipelines, and system integration.
  • Experience with monitoring, CI/CD, and operational lifecycle management of AI systems.
  • Proven ability to lead technical teams and deliver complex solutions.

Preferred:
  • Experience in financial services or other regulated industries.
  • Experience with DB2 or legacy-to-cloud data migration.

Education
Required:
  • 8+ years of experience in software engineering, data engineering, or ML engineering.
  • 3+ years delivering production AI/ML and/or GenAI solutions (RAG, agents, or similar)

Compensation
The wage range for this role takes into account a broad array of factors that are considered in making compensation decisions, including but not limited to: skill sets; experience and training; licensure and certifications; and other business and organizational needs. The range below applies as long as the work is performed in Connecticut; the Knights of Columbus reserves the right to adjust the wage range if the position is performed in another location. At the Knights of Columbus, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $140,000 - $238,000.
Authorization to work in the United States is required.
This position is not eligible for visa sponsorship.
Physical Demands
Must be able to remain in a stationary position for a majority of the workday.
KofC Cares
Our mission is focused on family and faith, and we support our employees in seeking a balanced life.
Employee benefits include:
Time Away: 13 paid holidays per year in addition to vacation and paid sick leave, and flexible workweek schedules.
Professional Development: Certifications, designation, and tuition reimbursement.
Retirement Benefits: 401(k) retirement savings plan with matching company contributions, and cash balance retirement plans fully funded by the company.
Health and Wellness:
  • Short-term disability and term life insurance fully paid for by the company;
  • Up to 12 weeks of childbirth leave under STD policy.
  • One week of fully paid parental leave for all new parents, including adoptive and foster parents.
  • A variety of health insurance options, including premium-level family coverage and a pre-tax Health Savings Account with employer contributions. The Order's health plans do not cover abortion, sterilization, or contraception, and the Order has helped advocate for other employers who do not want to provide coverage.
  • Long-term disability insurance;
  • Dental insurance;
  • Vision insurance;
  • Health club membership reimbursement;
  • Employee Assistance Program

Apply