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Vice President F1 Data Science Jobs (NOW HIRING)

Citigroup, Inc.

SVP Marketing Data Science

New York, NY · On-site

The SVP, Marketing Data Science is a highly experienced and senior role, and part of the larger Media Sciences team in the Client Org, reporting to the Head of Media Science. This role will primarily ...

S&P Global

Vice President, Data Science

Manhattan, NY · On-site

$177K - $350K/yr

Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.

S&P Global

Vice President, Data Science

Raleigh, NC · On-site

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This ...

Spgi

Vice President, Data Science

Raleigh, NC · On-site

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This ...

S&P Global

Vice President, Data Science

New York, NY

$177K - $350K/yr

Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.

S&P Global

Vice President, Data Science

New York, NY · On-site

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This ...

Spgi

Vice President, Data Science

New York, NY · On-site

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This ...

S&P Global, Inc.

Vice President, Data Science

New York, NY · On-site

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This ...

Spgi

Vice President, Data Science

New York, NY · On-site

$177K - $350K/yr

Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.

Virginia Farm Bureau

Vice President, Data & AI

Henrico, VA · On-site

$228K - $240K/yr

Vice President, Data & AI STATUS: Exempt COMPENSATION RANGE: $228,000 - $240,000 Annually with up ... Bachelor's degree in Information Technology, Computer Science, Engineering, Data Science, or a ...

Virginia Farm Bureau

Vice President, Data & AI

Henrico, VA · On-site

$228K - $240K/yr

Vice President, Data & AI STATUS: Exempt COMPENSATION RANGE: $228,000 - $240,000 Annually with up ... Bachelor's degree in Information Technology, Computer Science, Engineering, Data Science, or a ...

Virginia Farm Bureau

Vice President, Data & AI

Henrico, VA · On-site

$228K - $240K/yr

Vice President, Data & AI STATUS: Exempt COMPENSATION RANGE: $228,000 - $240,000 Annually with up ... Bachelors degree in Information Technology, Computer Science, Engineering, Data Science, or a ...

Invitation Homes Inc.

VP, Enterprise Data

Dallas, TX · On-site

$177.82 - $308.23/hr

## VP, Enterprise DataApplylocations: Dallas, TX- HQtime type: Full timeposted on: Posted ... Build and maintain strong relationships with analytics, data science, and senior leaders across all ...

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Vice President F1 Data Science information

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$37.5K

$122.7K

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How much do vice president f1 data science jobs pay per year?

As of Aug 13, 2026, the average yearly pay for vice president f1 data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a vice president F1 data science do?

A Vice President of F1 Data Science leads the data analytics and strategy efforts for a Formula 1 team or organization. They oversee the collection, analysis, and interpretation of massive datasets from car sensors, race simulations, and competitor analysis to inform race strategies and improve performance. This executive collaborates with engineers, strategists, and management to make data-driven decisions that can provide a competitive edge. Additionally, they are responsible for managing data science teams, setting departmental goals, and ensuring that advanced technologies like machine learning are effectively integrated into F1 operations.

What are the key skills and qualifications needed to thrive as a vice president F1 data science?

To excel as a Vice President F1 Data Science, you need extensive expertise in data analytics, statistical modeling, machine learning, and a strong educational background in data science, mathematics, or a related field. Familiarity with advanced analytics tools (like Python, R, SQL), big data platforms, and experience with motorsport telemetry or similar high-frequency data systems are essential. Strategic leadership, strong communication, and the ability to drive cross-functional collaboration set outstanding candidates apart. These skills empower effective data-driven decision-making, optimizing team performance and maintaining a competitive edge in the fast-paced Formula 1 environment.

How does a vice president F1 data science typically collaborate with technical and non-technical teams within a racing organization?

A Vice President of F1 Data Science plays a pivotal role in bridging the gap between data scientists, engineers, and business leaders. They work closely with technical teams to set data analysis strategies, oversee model development, and ensure accurate insights drive race strategy and car performance. On the non-technical side, they translate complex data findings into actionable recommendations for management and other stakeholders, ensuring alignment with broader organizational goals. This requires excellent communication skills and the ability to foster cross-functional collaboration to maximize the team's competitive advantage.

What is the difference between Vice President F1 Data Science vs Data Science Director?

AspectVice President F1 Data ScienceData Science Director
ResponsibilitiesStrategic leadership, overseeing multiple teams, setting data science vision for F1Managing data science projects, leading teams, implementing strategies within an organization
Required CredentialsAdvanced degrees in data science, analytics, or related fields; extensive experience in F1 or motorsport analyticsMaster's or PhD in data science, statistics, or related fields; significant industry experience
Work EnvironmentExecutive-level, cross-functional collaboration, high-pressure F1 environmentTeam management, project execution, collaboration with stakeholders

The Vice President F1 Data Science focuses on strategic leadership and high-level decision-making within the F1 industry, while the Data Science Director manages day-to-day project execution and team operations. Both roles require advanced credentials and industry experience, but the VP role emphasizes vision and strategy, whereas the Director role centers on project management and technical execution.

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What are the most commonly searched types of F1 Data Science jobs? The most popular types of F1 Data Science jobs are:
What states have the most Vice President F1 Data Science jobs? States with the most job openings for Vice President F1 Data Science jobs include:
Vice President F1 Data Science jobs near you

SVP Marketing Data Science

Citigroup, Inc.

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 171 rated banks

Job description

The SVP, Marketing Data Science is a highly experienced and senior role, and part of the larger Media Sciences team in the Client Org, reporting to the Head of Media Science. This role will primarily perform advanced analytics on data from the clean room, marketing data analytics, audience analytics, creative analysis, consumer journey, attribution and scenario planning. This pivotal role will be responsible for leading advanced analytics initiatives and developing sophisticated measurement models to optimize marketing spend and drive demonstrable business impact. The successful candidate will be a strategic thinker with deep expertise in data science, marketing analytics, and a proven track record of translating complex data into actionable insights for senior stakeholders. This role will involve leading a team of data scientists, providing technical guidance, and fostering a culture of innovation and data-driven decision-making within the marketing function.
The Media Sciences team leads the transformation of Citi's media investment and measurement, while delivering positive return on marketing investment and future-proofing our business. The team works in close partnership with US and Global Digital Media, Analytics, Acquisitions, Advertising and Product Management teams.
Responsibilities:
  • Advanced Analytics: Design, develop, and implement advanced statistical and machine learning models to analyze marketing effectiveness, cross-channel attribution, audience analytics and user journey analytics.
  • Hands on implementation: Leverage multiple analytical approaches, tools and techniques, working on multiple data sources (media channel data, acquisitions data, revenue data, digital data,) A/B testing, incrementality studies addressing business questions through marketing lens
  • Utilize predictive analytics to forecast marketing outcomes, identify optimal spending levels, and inform budget allocation decisions.
  • Strategic Leadership: Lead the development and execution of the marketing advanced analytics roadmap, aligning with overall business objectives and marketing strategies. Provide thought leadership in the application of data science to marketing challenges, identifying new opportunities for leveraging data and analytics to drive growth and efficiency.
  • Lead, mentor, and manage a team of data scientists, fostering their professional growth and technical capabilities, and guide the team in developing appropriate data-driven solutions.
  • Stakeholder communication: Communicate complex analytical concepts and data driven insights clearly and concisely to diverse audiences, including senior leadership, marketing teams, and cross-functional partners.
  • Operational Excellence: Oversee the end-to-end model development lifecycle, from data collection and preprocessing to model building, validation, and deployment. Experience in commercialization and go-to-market for analytics project is a plus
  • Accountability: Ensure the team adheres to best practices in data science, model governance, and ethical data usage and ensure timely and effective deployment of models.
  • Thought Leadership: This role will serve as a subject matter expert in analytics - ability to understand complex business problems, develop analytical approaches to solve them and simplify outcomes for stakeholders. Drive ideation on analytical projects and present actionable recommendations based on data insights to influence strategic marketing decisions.
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Qualifications:
  • 10 + years' experience within media measurement and analytics, preferably in financial services, client side, agency side or publisher side
  • Proficiency in programming languages such as Python and R, and experience with relevant data science libraries and frameworks.
  • Experience with big data technologies, cloud platforms, and data visualization tools (e.g., SQL, Tableau, Power BI, Dataiku).
  • Hands on experience working with complex structured and unstructured marketing data Experience leading predictive modeling using Machine Learning, Deep Learning/ Neural Networks across multiple projects
  • Strong understanding of core AI/ML concepts (e.g., RNN, LSTMs, LLMs, NLP) and ability to identify the optimal solution for any business case
  • Should be able to independently own and project manage workstreams involving multiple stakeholders, show strong sense of accountability and decisiveness in strong work ethic
  • Must be ready for hands on involvement in measurement to identify roadblocks and uncover solutions, operate with curiosity and is hypothesis driven
  • Must be process oriented and organized, operate efficiently to deliver high-quality work in a fast paced and dynamic environment across different teams
  • Extensive experience working closely with legal, compliance, and procurement teams on technology contracting and approvals in a highly regulated environment.
  • Proficient in Python / R, Hive / SQL
  • Experience on machine learning frameworks like TensorFlow, PyTorch etc.
  • Experience on Gen AI platforms and tools

Education:
  • Bachelor's/University degree (Masters or Bachelor's degree in Business Analytics, Finance, Statistics. Advanced degree preferred)

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
#LI-AB8
Job Family Group:
Marketing
Job Family:
Advertising, Branding and Media
Time Type:
Full time
Primary Location:
New York New York United States
Primary Location Full Time Salary Range:
$163,600.00 - $245,400.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents - AI Notice and Right
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US

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