ZipRecruiter

Log In

1

Statistics Data Science Jobs in Connecticut (NOW HIRING)

Varsity Tutors

Statistics Tutor

Hartford, CT · Remote

$18 - $40/hr

Emphasizes data-driven decision making and connects statistics to social sciences, business, and medical research. * Curriculum Awareness & Adaptive Instruction: Familiar with statistics curricula ...

Varsity Tutors

Statistics Tutor

New Haven, CT · Remote

$18 - $40/hr

Emphasizes data-driven decision making and connects statistics to social sciences, business, and medical research. * Curriculum Awareness & Adaptive Instruction: Familiar with statistics curricula ...

Varsity Tutors

Statistics Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Emphasizes data-driven decision making and connects statistics to social sciences, business, and medical research. * Curriculum Awareness & Adaptive Instruction: Familiar with statistics curricula ...

Varsity Tutors

Statistics Tutor

Stamford, CT · Remote

$18 - $40/hr

Emphasizes data-driven decision making and connects statistics to social sciences, business, and medical research. * Curriculum Awareness & Adaptive Instruction: Familiar with statistics curricula ...

Varsity Tutors

Statistics Tutor

Norwalk, CT · Remote

$18 - $40/hr

Emphasizes data-driven decision making and connects statistics to social sciences, business, and medical research. * Curriculum Awareness & Adaptive Instruction: Familiar with statistics curricula ...

Socket.dev

Senior Applied AI & Data Scientist

New Haven, CT · On-site

$122 - $207.50/hr

Reporting to the Director of Applied AI & Data Science, this role partners closely with business ... Develop and deploy advanced statistical and machine learning models supporting insurance, actuarial ...

previous page

Showing results 41-60

All JobsStatistics Data Science JobsStatistics Data Science Jobs in Connecticut

Statistics Data Science information

See Connecticut salary details

$43.8K

$157K

$231.6K

How much do statistics data science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for statistics data science 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 jobs can you get with a statistics and data science degree?

A statistics and data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and quantitative researcher. These jobs typically require skills in programming languages like Python or R, data visualization, and statistical analysis, often within technology, finance, healthcare, or consulting industries.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.

What are popular job titles related to Statistics Data Science jobs in Connecticut?

For Statistics Data Science jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Statistics Data Science jobs in Connecticut look for?

The top searched job categories for Statistics Data Science jobs in Connecticut are:

Statistics Data Science jobs near you
Infographic showing various Statistics Data Science job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $156,979 per year, or $75.5 per hour.

Sr. Director Data Science and Advanced Analytics

Philip Morris International

Stamford, CT • On-site

$281K - $352K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

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

Apply