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Manager Data Scientist Jobs in Connecticut (NOW HIRING)

Effective verbal and written communication, relationship management and customer service skills ... Proficient using data science toolkits such as Python * Comprehensive SQL skills * Strong ...

... data management environments • Leveraging economics, business/systems analysis, and quality ... science • 2 years of user research and feedback analysis • 2 years of data governance and ...

Berkley Corporation has grown from a small investment management firm into one of the largest ... Responsibilities The Actuary/Data Scientist will leverage strong analytical and coding skills to ...

Data Scientist

Danbury, CT · On-site

$119 - $132/hr

Write SQL queries to analyze data and support systemoperations, utilizing technologies, including ... manager. #J-18808-Ljbffr

Data Scientist

Windsor, CT · On-site

$86 - $146/hr

Work independently and collaboratively on analytical, programming, modelling, and data management activities * Map out and document problem statements, project requirements and associated workflows ...

Associate Data Scientist

Stamford, CT · On-site

$62K - $63K/yr

Partner with Product Managers, business stakeholders, and engineers to translate business needs ... What you will need: * BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics ...

Associate Data Scientist

Stamford, CT · On-site +1

$62K - $63K/yr

Partner with Product Managers, business stakeholders, and engineers to translate business needs ... What you will need: * BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics ...

Associate Data Scientist

Stamford, CT · On-site

$62K - $63K/yr

Partner with Product Managers, business stakeholders, and engineers to translate business needs ... What you will need: * BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics ...

Act as a mentor to more junior data scientists and is empowered to assign them specific project ... Work on a portfolio of projects simultaneously and are expected to adequately manage their own time ...

Act as a mentor to more junior data scientists and is empowered to assign them specific project ... Work on a portfolio of projects simultaneously and are expected to adequately manage their own time ...

Act as a mentor to more junior data scientists and is empowered to assign them specific project ... Work on a portfolio of projects simultaneously and are expected to adequately manage their own time ...

In partnership with our PMO and IT organizations, you will help build the AI applications and ... Lead data science projects in close collaboration with IT, Data Engineering, Application ...

In partnership with our PMO and IT organizations, you will help build the AI applications and ... Lead data science projects in close collaboration with IT, Data Engineering, Application ...

In partnership with our PMO and IT organizations, you will help build the AI applications and ... Lead data science projects in close collaboration with IT, Data Engineering, Application ...

ClifyX is seeking a GEN AI Data Scientist Engineer with over 8 years of experience. The role ... management. Responsibilities : • ML Process and Model understanding • Model Deployment ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in ...

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Manager Data Scientist information

See Connecticut salary details

$43.8K

$157K

$231.6K

How much do manager data scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for manager data scientist in Connecticut is $156,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,700.00 per year, depending on experience, location, and employer.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.

What are the key skills and qualifications needed to thrive as a manager data scientist?

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

What are the most commonly searched types of Data Scientist jobs in Connecticut?

The most popular types of Data Scientist jobs in Connecticut are:

What cities in Connecticut are hiring for Manager Data Scientist jobs?

Cities in Connecticut with the most Manager Data Scientist job openings:

Infographic showing various Manager Data Scientist job openings in Connecticut as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, 2% Temporary, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $156,979 per year, or $75.5 per hour.

Data Scientist

Stamford, CT • On-site, Remote

Full-time

Re-posted 10 hours ago


Job description

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Do you thrive on transforming complex data into actionable insights that drive business growth? At Spectrum, you’ll use advanced statistical techniques and machine learning to develop impactful solutions for real-world challenges, collaborating across teams and communicating your findings to stakeholders at all levels. Your expertise will shape decisions and deliver measurable results that matter.

This position is in an office environment with a hybrid work schedule. Eligible employees can work from home up to one day each week.


How You’ll Make an Impact

  • Responsible for the full end-to-end data science process, including ETL, model development, validation, deployment into workflows, and measurement of financial impact.
  • Partner with cross-functional teams to implement models in production and conduct post-launch testing and enhancements.
  • Apply analytical and statistical algorithms to help stakeholders enhance their business strategies
  • Collaborate on the design and implementation of data quality procedures for both current and new data sources
  • Communicate data science solutions and complex analyses clearly to team members and business leaders
  • Establish connections across existing data sources and uncover new data correlations
  • Present data insights and recommendations to key stakeholders to inform business decisions
  • Ensure testing and validation are integral to all analytics solutions, achieving project goals within deadlines while proactively communicating progress

What You’ll Bring to Spectrum

Required Qualifications

Education

  • Bachelor’s degree in computer science, statistics, operations research or equivalent combination of education and experience

Experience

  • 3 years in data analytics
  • 2 years programming experience

Skills

  • Effective verbal and written communication, relationship management and customer service skills
  • Building Logistic Regression models, Random Forest models, XGBoost models using Python
  • Ability to work effectively in a team environment with minimal supervision
  • Experience with analytical and statistical software
  • Proficient using data science toolkits such as Python
  • Comprehensive SQL skills
  • Strong analytical and problem-solving skills, attention to detail and data accuracy
  • Capacity for in-depth and independent research and analysis
  • Ability to maintain confidentiality and handle sensitive information appropriately
  • Deep understanding of computer science principles including algorithms, data structures and design methodologies
  • Familiarity with big data tools such as Spark and Hive

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Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life.
A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more.

Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.
Qualifications:

What You’ll Bring to Spectrum

Required Qualifications

Education

  • Bachelor’s degree in computer science, statistics, operations research or equivalent combination of education and experience

Experience

  • 3 years in data analytics
  • 2 years programming experience

Skills

  • Effective verbal and written communication, relationship management and customer service skills
  • Building Logistic Regression models, Random Forest models, XGBoost models using Python
  • Ability to work effectively in a team environment with minimal supervision
  • Experience with analytical and statistical software
  • Proficient using data science toolkits such as Python
  • Comprehensive SQL skills
  • Strong analytical and problem-solving skills, attention to detail and data accuracy
  • Capacity for in-depth and independent research and analysis
  • Ability to maintain confidentiality and handle sensitive information appropriately
  • Deep understanding of computer science principles including algorithms, data structures and design methodologies
  • Familiarity with big data tools such as Spark and Hive
Employment Type: Full Time