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Manager Data Scientist Jobs (NOW HIRING)

Applied Materials

Manager, Data Scientist

Austin, TX · On-site +1

$176K - $242K/yr

... memory management, tool integration, Retrieval-Augmented Generation (RAG), knowledge graphs ... Collaborate with business stakeholders, product teams, engineers, data scientists, and subject ...

Amat

Manager, Data Scientist

Austin, TX · On-site +1

$176K - $242K/yr

... memory management, tool integration, Retrieval-Augmented Generation (RAG), knowledge graphs ... Collaborate with business stakeholders, product teams, engineers, data scientists, and subject ...

Applied Materials

Manager, Data Scientist

Austin, TX · On-site

$176K - $242K/yr

... memory management, tool integration, Retrieval-Augmented Generation (RAG), knowledge graphs ... Collaborate with business stakeholders, product teams, engineers, data scientists, and subject ...

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How much do manager data scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for manager data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.

What are the key skills and qualifications needed to thrive as a manager data scientist?

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

What cities are hiring for Manager Data Scientist jobs?

Cities with the most Manager Data Scientist job openings:

What are the most commonly searched types of Data Scientist jobs?

The most popular types of Data Scientist jobs are:

What states have the most Manager Data Scientist jobs?

States with the most job openings for Manager Data Scientist jobs include:

What are popular job titles related to Manager Data Scientist jobs?

For Manager Data Scientist jobs, the most frequently searched job titles are:

Manager Data Scientist jobs near you
Infographic showing various Manager Data Scientist job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Manager Data Scientist

Tampa, FL • On-site

Philip Morris International
10K+ employees
Learn more about Philip Morris Internationalexternal

$104K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Job description

Manager Data Scientist - Tampa, FL
At PMI U.S., we are building a modern nicotine business-focused on helping make a future without cigarettes a reality in America. As the U.S. businesses of Philip Morris International, we are investing in new products, science, and capabilities to provide the approximately 25 million legal age adults who still smoke with better alternatives.
Our approach is rooted in innovation, responsible marketing, and a growing U.S. footprint that spans manufacturing, technology, and commercial operations across the country.
That creates real opportunity. You'll have the space to take ownership, develop new ideas, and contribute to work that is shaping our business and the category. We're looking for people who are curious, collaborative, and motivated by progress-because the scale of what we're building creates room to grow in different directions.
About the Role
We are seeking a Manager, Data Science (Advanced Analytics) to design and deliver high-impact predictive and prescriptive analytics solutions that directly inform business decisions.
This role is a hands-on advanced analytics practitioner, not focused on descriptive reporting, dashboard development, or KPI tracking. Instead, it requires deep expertise in statistical modeling, forecasting, machine learning, and analytical problem solving, with a proven ability to translate complex business problems into scalable, decision-ready solutions.
You will operate as a technical owner of analytics use cases, partnering with business, product, and data platform teams to take solutions from problem framing through deployment and ongoing optimization.
While this role may provide guidance or mentorship to junior team members, it is primarily an individual contributor role with accountability for outcomes, not team size.
Your 'day to day':
1. Advanced Analytics & Modeling (Core Focus)
  • Design, build, and validate predictive and prescriptive models addressing key business problems (e.g., demand forecasting, pricing elasticity, promotion effectiveness, consumer behavior).
  • Apply appropriate techniques including time-series forecasting, regression, classification, optimization, or simulation based on business need.
  • Select modeling approaches grounded in business context, data constraints, interpretability, and scalability, not theoretical novelty.

2. End-to-End Use Case Ownership
  • Own analytics initiatives from problem framing → data exploration → model development → deployment → performance monitoring.
  • Translate ambiguous business questions into structured analytical problems with clear success criteria.
  • Continuously refine models based on real-world performance and stakeholder feedback.

3. Operationalization & Adoption
  • Partner with data engineering and platform teams to ensure models move beyond proof-of-concept into production or repeatable business workflows.
  • Embed outputs into planning cycles, commercial decision processes, and operational routines.
  • Monitor model performance, identify drift, and recommend enhancements or retirement as needed.

4. Business Communication & Influence
  • Communicate analytical approaches, assumptions, and limitations clearly to non-technical stakeholders.
  • Frame outputs as scenarios, trade-offs, and business implications, not just model results.
  • Act as a trusted analytics partner to business stakeholders.

5. Analytics Craft & Reusability
  • Develop reusable analytical assets, frameworks, and modeling components to reduce one-off effort.
  • Ensure proper documentation, explainability, and auditability of models.
  • Contribute to analytics standards and best practices across the organization.

Key Skills:
  • Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Engineering, or related field (Master's preferred).
  • 5-8+ years of experience in data science or advanced analytics roles with demonstrated hands-on modeling experience.
  • Proven track record of delivering model-driven analytics, not just reporting or dashboards.
  • Strong proficiency in Python and/or R, with practical application of statistical and machine learning methods.
  • Experience with:
    • Forecasting, regression, classification, and/or optimization models
    • Working with large, complex, imperfect datasets (e.g., retail scan, consumer panels, transactional data)
  • Ability to translate analytics into business decisions and measurable outcomes.

Preferred Qualifications:
  • Experience in CPG, Retail, or Commercial Analytics environments.
  • Hands-on work in areas such as:
    • Pricing & promotion effectiveness
    • Demand forecasting
    • Revenue Growth Management (RGM)
    • Consumer behavior analytics
  • Experience with cloud data platforms (e.g., Snowflake, Databricks).
  • Familiarity with deploying and operationalizing models in production environments.
  • Ability to balance accuracy, interpretability, and business usability.

Annual Base Salary Range: $104,000 - $130,000
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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