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Data Science Jobs in Fairfield, CT (NOW HIRING)

Data Science: * Apply modern machine learning and AI techniques toreal businessproblems with measurable client impact (e.g., defining features of high-impact content and/or client conversations ...

Data Scientist US-NY-Melville Job ID: 34517 Type: Full-Time # of Openings: 1 Category: Marketing CUSA Melville Headquarters About the Role Canon USA in Melville, NY is currently seeking a Data ...

Data Scientist US-NY-Melville Job ID: 34517 Type: Full-Time # of Openings: 1 Category: Marketing CUSA Melville Headquarters About the Role Canon USA in Melville, NY is currently seeking a Data ...

Data Scientist US-NY-Melville Job ID: 34517 Type: Full-Time # of Openings: 1 Category: Marketing CUSA Melville Headquarters About the Role Canon USA in Melville, NY is currently seeking a Data ...

Data Scientist US-NY-Melville Job ID: 34517 Type: Full-Time # of Openings: 1 Category: Marketing CUSA Melville Headquarters About the Role Canon USA in Melville, NY is currently seeking a Data ...

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Data Science information

See Fairfield, CT salary details

$37.4K

$122.3K

$195.8K

How much do data science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data science in Fairfield, CT is $122,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $135,500.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the most commonly searched types of Data Science jobs in Fairfield, CT?

The most popular types of Data Science jobs in Fairfield, CT are:

What are popular job titles related to Data Science jobs in Fairfield, CT?

For Data Science jobs in Fairfield, CT, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Fairfield, CT look for?

The top searched job categories for Data Science jobs in Fairfield, CT are:

What cities near Fairfield, CT are hiring for Data Science jobs?

Cities near Fairfield, CT with the most Data Science job openings:

Infographic showing various Data Science job openings in Fairfield, CT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,280 per year, or $58.8 per hour.

Manager, Data Science and Advanced Analytics

Philip Morris International

Stamford, CT โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Job description

Manager, Data Science & 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':
  • Partner with stakeholders to support analytics initiatives that align to key business priorities across commercial, sales, and operations functions.
  • Design and deliver analytics projects, including descriptive analysis, segmentation, forecasting, and basic predictive modeling.
  • Build and maintain dashboards, reports, and data visualizations using tools such as Power BI or Tableau.
  • Query, manipulate, and analyze large datasets using SQL and Python (or similar tools) to generate actionable insights.
  • Ensure data accuracy and consistency by applying best practices in data validation and transformation.
  • Translate analytical findings into clear, business-friendly insights and recommendations.
  • Collaborate cross-functionally with business teams, data engineers, and senior analytics leaders to support decision-making.

Who we're looking for:
  • Legally authorized to work in the U.S.
  • Commutable distance to Stamford, CT.
  • Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field (Master's preferred).
  • 7+ years of experience in data analytics or data science roles, ideally within CPG, retail, or similarly data-rich environments.
  • Proficiency in SQL and experience with Python or R for data analysis.
  • Hands-on experience with BI tools such as Power BI or Tableau.
  • Familiarity with structured datasets (e.g., sales, customer, or syndicated data) and common analytics use cases.
  • Strong problem-solving skills and ability to manage multiple priorities in a fast-paced environment.
  • Effective communication skills, with the ability to present insights to non-technical stakeholders.

Relevant Open Sourcing Considerations:
  • Be legally authorized to work in the U.S.
  • International relocation support is not available for this job.
  • If you have been in your current job for less than 12 months or if you are on a Performance Improvement Program, you must get the approval of your current manager before applying for the job.
  • If you are not a PMI employee and employed by a third an agency, please make a formal application via the external career site at https://join.pmicareers.com/
  • To find out more about eligibility to apply for internal jobs, please refer to the Open Sourcing Employee Guidebook on the Internal Careers Portal.

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.