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Data Science Analytics Jobs in Connecticut (NOW HIRING)

AI and Data Science Engineer III

Stamford, CT ยท On-site

$122K - $146K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Lead the design, development, and delivery of analytics solutions that address complex workforce ...

AI and Data Science Engineer III

Hartford, CT ยท On-site

$115K - $138K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Lead the design, development, and delivery of analytics solutions that address complex workforce ...

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

Data Science Tutor

Norwalk, CT ยท Remote

$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 ...

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

Data Science Tutor

Stamford, CT ยท Remote

$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 ...

Data Science Tutor

Hartford, CT ยท Remote

$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 ...

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

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

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

If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing data science solutions that help our ...

Director of Data Science

Hartford, CT ยท 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 ...

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Data Science Analytics information

See Connecticut salary details

$23

$52

$89

How much do data science analytics jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data science analytics in Connecticut is $52.08, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $58.99 per hour, depending on experience, location, and employer.

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

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

What is the difference between Data Science Analytics vs Data Analyst?

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.
What are popular job titles related to Data Science Analytics jobs in Connecticut? For Data Science Analytics jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Science Analytics jobs in Connecticut look for? The top searched job categories for Data Science Analytics jobs in Connecticut are:
Infographic showing various Data Science Analytics job openings in Connecticut as of May 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $108,326 per year, or $52.1 per hour.
Director Data Science and Advanced Analytics

Director Data Science and Advanced Analytics

Philip Morris International

Stamford, CT โ€ข On-site

$281K - $352K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 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.
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