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Data Science And Analytics Jobs in Connecticut (NOW HIRING)

Kemper

Data Science Manager

Hartford, CT · Hybrid

... analytics applications, while providing technical leadership and leading projects. This role ... Manages a small team of data scientists and data engineers to research, design, develop, deploy ...

Varsity Tutors

Data Science Tutor

Norwalk, CT · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Stamford, CT · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Bridgeport, CT · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Hartford, CT · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Gartner

Director, Data Science

Stamford, CT · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Translate quantitative analysis into actionable strategies, pitch high-impact ideas, and influence ...

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Translate quantitative analysis into actionable strategies, pitch high-impact ideas, and influence ...

Cigna

Data Science Advisor - Hybrid

Bloomfield, CT · On-site +1

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth.

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

Qualifications: 8+ years of relevant analytical experience recommended. Master's or Ph.D. in ... Data Science, Computer Science, or a similar analytical field, or a relevant professional ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT

$115K - $138K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several ...

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Data Science And Analytics information

See Connecticut salary details

$35.7K

$116.8K

$186.9K

How much do data science and analytics jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data science and analytics in Connecticut is $116,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What work can I do with data science?

Data science and analytics professionals analyze data to uncover insights, build predictive models, and support decision-making across various industries. They work with tools like Python, R, and SQL, and often need skills in statistics, data visualization, and machine learning to perform tasks such as data cleaning, reporting, and developing algorithms.

Is 40 too late for data science?

Data science and analytics roles value skills and experience over age; many professionals transition into the field later in life. Gaining proficiency in programming languages like Python or R, and understanding data tools, can help offset age concerns. Continuous learning and relevant certifications can improve job prospects regardless of age.

What are data science and analytics jobs?

Data science and analytics jobs involve analyzing large datasets to extract insights, support decision-making, and solve business problems. These roles typically require skills in programming, statistics, and tools like Python, R, or SQL, and often involve creating reports or predictive models. Professionals in these fields work in various industries such as finance, healthcare, and technology, with responsibilities that include data cleaning, visualization, and modeling.

What are the key skills and qualifications needed to thrive as a Data Science and Analytics professional, and why are they important?

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What are Data Science and Analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What can I do with a data science and analytics degree?

A data science and analytics degree prepares individuals for roles such as data analyst, data scientist, business intelligence analyst, or machine learning engineer. Graduates can work in industries like finance, healthcare, marketing, and technology, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.
What cities in Connecticut are hiring for Data Science And Analytics jobs? Cities in Connecticut with the most Data Science And Analytics job openings:
Data Science And Analytics jobs near you
Infographic showing various Data Science And Analytics job openings in Connecticut as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $116,759 per year, or $56.1 per hour.

Director Data Science and Advanced Analytics

Philip Morris International

Stamford, CT • On-site

$281K - $352K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Job description

Director Data Science and Advanced Analytics - Stamford, CT
Be a part of a revolutionary change!
At Philip Morris International (PMI), we've chosen to do something incredible. We're totally transforming our business and building our future on one clear purpose - to deliver a smoke-free future.
With huge change, comes huge opportunity. So, if you join us, you'll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions. Our success depends on people who are committed to our purpose and have an appetite for progress.
Our beautiful HQ in Stamford, CT is just steps away from the Stamford Metro-North Train Station and easily accessible from NYC.
Your 'day to day':
The Director, Advanced Analytics will lead the strategy, execution, and adoption of advanced analytics across the enterprise, shaping how predictive analytics, machine learning, and AI are applied to drive growth, productivity, and operational excellence.
  • Advanced analytics strategy & portfolio leadership. Own the advanced analytics portfolio and roadmap, defining a standardized approach to generating insights and decision products. Prioritize initiatives based on value, feasibility, and appropriate risk or regulatory considerations, partnering with business leaders on outcomes rather than just deliverables.
  • Enterprise team leadership. Build, lead, and mentor a high-performing team spanning data science, decision science, analytics engineering, and insight translation. Establish a culture of curiosity, accountability, and continuous learning with clear expectations and development paths.
  • Solution delivery at scale. Lead the development and deployment of predictive models, machine-learning solutions, and AI-enabled analytics that improve decision quality, automation, forecasting, and personalization.
  • Standardized ways of working. Establish consistent analytics and model lifecycle practices across experimentation, development, deployment, and monitoring. Where appropriate, leverage modern platforms and tooling (e.g., Databricks-based workflows and MLOps practices) to ensure reproducibility, scalability, and reliability.
  • Data foundations and enablement. Partner closely with Data Engineering, Data Architecture, and Data Product Management to ensure high-quality, curated, and governed data and features are available to support advanced analytics and production use cases.
  • Business partnership & insight-to-action. Act as a senior advisor to stakeholders-translating ambiguous business questions into analytic hypotheses, measurement plans, and actionable recommendations. Embed enablement and change management to drive adoption.
  • Model risk, governance, and responsible AI. Implement and uphold standards for model documentation, validation, explain-ability, fairness and bias considerations, monitoring, and value tracking in partnership with IT, Security, and Compliance.
  • Value measurement and communication. Quantify business impact (e.g., revenue uplift, margin improvement, cost-to-serve reduction, forecast accuracy gains) and communicate outcomes clearly to executive and non-technical audiences.

Who we're looking for:
We're looking for a strategic advanced analytics leader with strong people leadership and practical technical grounding, capable of operating effectively in a large enterprise environment.
  • Legally authorized to work in the U.S.
  • Commutable distance to Stamford, CT.
  • 10+ years of experience in analytics, data science, or decision science, with 5+ years leading teams and portfolios delivering production-ready solutions.
  • Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Operations Research, or a related field (Master's or PhD a plus).
  • Proven track record delivering predictive analytics, ML, or AI solutions with measurable business impact.
  • Strong people-leadership capabilities, including hiring, mentoring, performance management, and team development.
  • Solid hands-on understanding of modern analytics and ML techniques, experimentation design, and measurement approaches; able to engage credibly with data scientists and engineers.
  • Familiarity with modern analytics platforms and ecosystems (e.g., Databricks, Snowflake, cloud data platforms) and model operationalization practices (MLOps, CI/CD, monitoring).
  • Experience establishing or maturing analytics standards, governance, and model lifecycle management practices.

Annual Base Salary Range: $281,600 - $352,000
What we offer:
  • We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!
  • We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.
  • Seize the freedom to define your future and ours. We'll empower you to take risks, experiment and explore.
  • Be part of an inclusive, diverse culture where everyone's contribution is respected; Collaborate with some of the world's best people and feel like you belong.
  • Pursue your ambitions and develop your skills with a global business - our staggering size and scale provides endless opportunities to progress.
  • Take pride in delivering our promise to society: To improve the lives of millions of smokers.

PMI is an Equal Opportunity Employer.
PMI is headquartered in Stamford, Conn., and its U.S. affiliates have more than 3,000 employees.
PMI has been an entirely separate company from Altria and Philip Morris USA since 2008. PMI's affiliates first entered the U.S. market following the company's acquisition of Swedish Match in late 2022.
Philip Morris International and its U.S. affiliates are working to deliver a smoke-free future. Since 2008, PMI has invested $12.5 billion globally to develop, scientifically substantiate and commercialize innovative smoke-free products for adults who would otherwise continue to smoke with the goal of transitioning legal-age consumers who smoke to better alternatives. In 2022, PMI acquired Swedish Match - a leader in oral nicotine delivery - creating a global smoke-free champion led by the IQOS and ZYN brands. The U.S. Food and Drug Administration has authorized versions of PMI's IQOS electronically heated tobacco devices and Swedish Match's General snus as Modified Risk Tobacco Products and renewal applications for these products are presently pending before the FDA. For more information, please visit www.pmi.com/us and www.pmiscience.com.
#PMIUS #LI-LC1

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