Pay
In line with similar jobs
$132K–$190K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Stamford, Connecticut, United States
Open 5 months, first seen by us 167 days agoEffective communication skills, with the ability to present insights to non-technical stakeholders. Annual Base Salary Range: $132,000 - $189,750 What we offer:Read the full posting
Legally authorized to work in the US
- Commutable distance to Stamford, CT. - Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field (Master’s preferred). - 6+ years in quantitative analytics oe data science roles (FMCG/CPG or retail experience preferred).
From the employer’s posting.
Open 5 monthsWe first saw this posting 167 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$132K–$190K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 167
Up longer than most. Similar jobs usually come down between day 7 and day 53.
Well past Philip Morris International U.S.’s usual: its jobs come down by about day 56.
From 7,922 similar postings that came down, and 9 of Philip Morris International U.S.’s. Coming down is not always a hire.
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Workplace Model (Add to top of posting): Hybrid - 3 days in-office (Stamford, CT HQ) / 2 days remote per week. - Build, scale and maintain predictive models and analytics workflows using Python/R/SQL and modern cloud platforms (Databricks/Snowflake). - Design cost-effective, scalable data transformation pipelines with a strong focus on optimizing compute resources, query execution and data egress.
- 6+ years in quantitative analytics oe data science roles (FMCG/CPG or retail experience preferred). - Hands on proficiency in Python or R, advanced SQL and enterprise data warehouse/lakehouses (Snowflake, Databricks). - Demonstrated understanding of data platform efficiency, compute clustering and best practices in cloud resource optimization.
- Design cost-effective, scalable data transformation pipelines with a strong focus on optimizing compute resources, query execution and data egress. - Transalate statistical models and data science discoveries into actionable insights for commercial and operational stakeholders via Power BI/Visualization tools. - Partner with stakeholders to support analytics initiatives that align to key business priorities across commercial, sales, and operations functions.
- Demonstrated understanding of data platform efficiency, compute clustering and best practices in cloud resource optimization. - 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.
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Manager, Data Science & Advanced Analytics – Stamford CT (Hybrid - 3 days In-Office)
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.
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).
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.
Annual Base Salary Range: $132,000 - $189,750
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
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Effective communication skills, with the ability to present insights to non-technical stakeholders. Annual Base Salary Range: $132,000 - $189,750 What we offer:
Stamford, Connecticut, United States
Manager, Data Science & Advanced Analytics – Stamford CT (Hybrid - 3 days In-Office) Be a part of a revolutionary change!
Your ‘day to day’: - Workplace Model (Add to top of posting): Hybrid - 3 days in-office (Stamford, CT HQ) / 2 days remote per week. - Build, scale and maintain predictive models and analytics workflows using Python/R/SQL and modern cloud platforms (Databricks/Snowflake).
More relevant text appears in the full description.
Who we’re looking for: - Legally authorized to work in the U.S. - Commutable distance to Stamford, CT.