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Manager, Data Science and Advanced Analytics

Stamford, Connecticut, United States

Open 5 months, first seen by us 167 days ago
Pay
$132,000–189,750/year · Base — pay source
Effective communication skills, with the ability to present insights to non-technical stakeholders. Annual Base Salary Range: $132,000 - $189,750 What we offer:
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Work setting
Not stated
Employment
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Before you apply

Work authorization
Must already have the right to work in the USLegally authorized to work in the US
Education & alternatives
- 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).

Benefits in the posting

Full benefits wording
  • 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!

From the employer’s posting.

Posting record

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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.

Status in our records
Live
First seen by us
May 21, 2026167 days ago
Recorded sightings
320
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

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.

Philip Morris International U.S. is hiring

11 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

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.

  • Python
  • R
  • SQL
  • Databricks
  • Power BI
  • Snowflake
  • Tableau
Where the posting names them
- 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.

Your next step

Complete your application on join.pmicareers.com. The employer’s form will show what is required.

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About the role

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.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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’:  

  • 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.
  • 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. 

  • 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). 

  • 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.
  • 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 

Source details

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Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Effective communication skills, with the ability to present insights to non-technical stakeholders. Annual Base Salary Range: $132,000 - $189,750 What we offer:
Location & working pattern

Stamford, Connecticut, United States

Manager, Data Science & Advanced Analytics – Stamford CT (Hybrid - 3 days In-Office) Be a part of a revolutionary change!
More source context
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.

Work authorization
Who we’re looking for: - Legally authorized to work in the U.S. - Commutable distance to Stamford, CT.

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