Top 15 Data scientist manager Jobs in Tampa, Fl

Manager Data Scientist
Philip Morris International U.S. —Tampa, FL
- $104,000 - $130,000 a year
- Full-time
- 5 years
- Master's degree
- Mentoring
- Commuter assistance
- Health insurance
Finance Manager - AI Trainer
DataAnnotation —Tampa, FL
- $50 - $100 an hour
- Part-time
- Remote
- English
- Mid-level
- Master's degree
Quick Apply
Portfolio Manager - AI Trainer
DataAnnotation —Tampa, FL
- $50 - $100 an hour
- Part-time
- Remote
- English
- Master's degree
- Doctor of Philosophy
Quick Apply
Data Scientist Lead
BlueWater Federal Solutions —Tampa, FL
- Full-time
- Azure
- Computer Science
- Bachelor of Science
AI & Data Decision Science Manager - Utilities
Accenture —Saint Petersburg, FL
- $87,400 - $293,800 a year
- Full-time
- Azure
- Management
- Computer Science
- Paid holidays
- Disability insurance
Data Scientist Lead
JPMorganChase —Tampa, FL
- Full-time
- Computer Science
- SQL
- Analysis skills
- Health insurance
- Tuition reimbursement
10d
FinOps AI / ML Engineer Manager
Accenture —Saint Petersburg, FL
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- AWS
- Paid holidays
- Disability insurance
10d
Industry & Function AI Decision Science Manager
Accenture —Saint Petersburg, FL
- $87,400 - $293,800 a year
- Full-time
- Azure
- Management
- Computer Science
- Paid holidays
- Disability insurance
SEDP Data Science & Analytics Task Lead
Career Page —Tampa, FL
- $190,000 - $240,000 a year
- Full-time
- Computer Science
- Office
- 3 years
- Relocation assistance
- Health insurance
Quick Apply
Service Delivery Center, AI&D, AI Engineer - Manager - Tampa
EY —Tampa, FL
- $76,200 - $197,900 a year
- 6 years
- Computer Science
- Data analysis skills
- Paid holidays
- Health insurance
Sr. AI Engineer - Forward Deployed Engineer Manager· Databricks · Reinvention Centers
Accenture —Saint Petersburg, FL
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Office
- Java
- US work authorization
- Paid holidays
- Disability insurance
AI Engineer - Forward Deployed Engineer Associate Manager · Databricks · Reinvention Centers
Accenture —Saint Petersburg, FL
- $68,300 - $261,500 a year
- Full-time
- Hybrid work
- Azure
- Office
- Java
- Paid holidays
- Disability insurance
Lead AI / ML Engineer
Accenture —Saint Petersburg, FL
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
- Paid holidays
- Disability insurance
AI/ML Architect - Forward Deployed Engineer Associate Manager · Reinvention Centers
Accenture —Saint Petersburg, FL
- $68,300 - $220,400 a year
- Full-time
- Hybrid work
- Office
- Java
- US work authorization
- Paid holidays
- Disability insurance
Data Science & Analytics Technical Lead
Agile Defense —Tampa, FL
- Management
- Computer Science
- Office
Quick Apply

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Manager Data Scientist

Philip Morris International U.S. -
Tampa, FL

Apply Now

Job Details

Full-time
$104,000 - $130,000 a year

Benefits

Commuter assistance
Health insurance
Dental insurance
Paid time off
Vision insurance
401(k) matching
Pet insurance

Qualifications

AI models
Machine intelligence

Full 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.

#PMIUS

#LI-AC1

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Refine Your Search

data scientist manager jobs in tampa, fl

Manager Data Scientist

Finance Manager - AI Trainer

Portfolio Manager - AI Trainer

Data Scientist Lead

AI & Data Decision Science Manager - Utilities

Data Scientist Lead

FinOps AI / ML Engineer Manager

Industry & Function AI Decision Science Manager

SEDP Data Science & Analytics Task Lead

Service Delivery Center, AI&D, AI Engineer - Manager - Tampa

Sr. AI Engineer - Forward Deployed Engineer Manager· Databricks · Reinvention Centers

AI Engineer - Forward Deployed Engineer Associate Manager · Databricks · Reinvention Centers

Lead AI / ML Engineer

AI/ML Architect - Forward Deployed Engineer Associate Manager · Reinvention Centers

Data Science & Analytics Technical Lead

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