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Director F1 Data Science Jobs in Florida (NOW HIRING)

Employer will accept a Bachelor's degree (or foreign equivalent) in Actuarial Science, Statistics or related field and 10 years of experience in the job offered or in a Director II, Data Science ...

The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond ...

Bachelor's degree in Data Science, Business Analytics, Computer Science, or a related field ... F1, now and in the future. New College of Florida (NCF) is an equal opportunity employer and ...

CORE JOB SUMMARY The Manager, Data Science assists the director in managing the development and deployment of technology-based resources to promote systemwide optimization and standardization of ...

Manager, Data Science

Miami, FL · On-site

$110 - $140/hr

The Manager, Data Science assists the director in managing the development and deployment of technology-based resources to promote systemwide optimization and standardization of clinical practice ...

CLA is looking to hire a Data Science Director to join our growing Internal IT team. About the role: CLA is looking to hire a Manger of Data Science This role constructs complex solutions that ...

... recall, and F1-score to iteratively improve models through hyperparameter tuning and training ... Science, AI, Computer Science, or a related field) + 10 years experience; or PhD + 4 years ...

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Director F1 Data Science information

What does a director F1 data science do?

A Director of F1 Data Science leads a team responsible for analyzing and interpreting complex data related to Formula 1 racing. Their role involves overseeing the development and implementation of data-driven strategies to improve car performance, race strategy, and overall team competitiveness. They collaborate with engineers, data analysts, and race strategists to turn raw data into actionable insights. Additionally, they ensure the use of the latest technologies and methodologies in data science to maintain a competitive edge.

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

To thrive as a Director F1 Data Science, you need advanced expertise in data analytics, machine learning, and statistical modeling, typically backed by a relevant graduate degree and significant experience in motorsport or a similar high-performance environment. Familiarity with tools such as Python, MATLAB, cloud computing platforms, and race data analysis systems is essential, along with a track record of handling large-scale telemetry and simulation data. Strong leadership, strategic thinking, and clear communication are vital soft skills for guiding teams and collaborating with engineers, drivers, and executives. These abilities drive data-driven decision-making and innovation, directly impacting race strategy, car performance, and competitive advantage in Formula 1.

How does a director F1 data science typically collaborate with racing engineers and other technical teams?

A Director of F1 Data Science works closely with racing engineers, aerodynamics specialists, strategists, and software developers to turn complex data into actionable insights. This role involves leading data science projects that help optimize car performance, race strategy, and driver feedback by effectively communicating analytical findings to technical and non-technical stakeholders. Collaboration often includes attending engineering meetings, coordinating data collection during testing, and integrating data solutions into day-to-day team operations to ensure everyone is aligned toward the team’s performance goals.

What is the difference between Director F1 Data Science vs Data Scientist?

AspectDirector F1 Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in relevant field
Work EnvironmentStrategic leadership, team management, cross-department collaborationData analysis, model development, coding, and experimentation
Employer & Industry UsageAutomotive, motorsport teams, analytics firmsTech companies, finance, healthcare, research institutions

The main difference is that the Director F1 Data Science oversees strategic projects and manages teams within the motorsport industry, while a Data Scientist focuses on hands-on data analysis and model building. The director role requires leadership skills and industry experience, whereas the data scientist role emphasizes technical expertise and coding skills.

What are popular job titles related to Director F1 Data Science jobs in Florida?

For Director F1 Data Science jobs in Florida, the most frequently searched job titles are:

Director, Data Science

Liberty Mutual

Miami, FL • On-site, Remote

Full-time

Re-posted 15 days ago


Liberty Mutual rating

8.8

Company rating: 8.8 out of 10

Based on 161 frontline employees who took The Breakroom Quiz

50th of 315 rated insurance


Job description

DescriptionDuties:  Manage and develop a team of data science and advanced analytics staff, driving accurate risk classification in pricing across three lines of business. Apply broad knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. Drive innovation in the application and development of tools and practices. Mine large data sets using sophisticated analytical techniques to generate insights and inform business decisions. Identify and tests hypotheses, ensuring statistical significance, and build highly complex, technical and creative predictive analytics for business applications. Translate quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. Enable the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes. Guide aspects of project design as a technical consultant for the team. Customizes analytic solutions to specific stakeholder needs. Regularly engage with the data science community and leads cross functional working groups.  Position requires domestic (U.S.) travel up to 5% Telecommuting permitted up to 100%   QualificationsRequirements:  Employer will accept a Bachelor's degree (or foreign equivalent) in Actuarial Science, Statistics or related field and 10 years of experience in the job offered or in a Director II, Data Science-related occupation.Position requires demonstrable experience with the following: P&C insurance domain expertise includes deep knowledge of exposure, premium and loss data, classification plans, state- and plan-level rate setting, and actuarial principles including credibility, loss development, trend analysis, experience rating and ratemaking.Develop, validate and deploy pricing models including GLMs and gradient-boosted models and diagnose model performance across lines of business and productsOwn the full modeling lifecycle including data procurement, feature engineering, model selection, cross-validation, back-testing, calibration, monitoring, and model retraining.Technical proficiency with modeling tools and languages, requiring experience in at least two tools, including Python or Emblem, and additional proficiency in at least one of SAS or R. Experience with large-scale data wrangling and evaluation and selection of appropriate internal toolsets. Measure and improve pricing effectiveness including quantifying current pricing, identifying gaps, recommending pricing and model changes, define KPIs tied to underwriting profitability, and perform cost-benefit analyses to inform business decisions. Lead and develop team members including hiring, mentorship, individualized development planning, performance management, code and research review, and guidance on model design and tool selection. Project and stakeholder management including scope and prioritize work, estimate effort, assign resources, balance planned versus ad-hoc requests, evaluate new requests, negotiate timelines and replan deliverables. Cross-functional partnership and influence including work with product-line, state management, underwriting, IT and compliance and build business cases, advocate the pricing roadmap and support multi-state implementation and adoption. Governance and quality controls including maintaining audit-ready documentation, reproducible code, validation artifacts and versioning; ensure regulatory, privacy, fairness and transparency compliance; and promote testing, peer review, and continuous improvement.Experience may be gained during graduate program. Will accept any suitable combination of education, training, and/or experience. Multiple Positions Available.   REFER TO: To apply, please visit https://jobs.libertymutualgroup.com/, select "Search Jobs," enter job requisition #2026-XXXXX in the "Job ID or Keywords" field, and submit resume. Alternatively, you may apply by submitting a resume via e-mail to RecruitLM@LibertyMutual.com. Reference requisition number in subject of e-mail.  About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefitsLiberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco
Employment Type: FULL_TIME

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About Liberty Mutual

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Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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