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F1 Data Science Jobs (NOW HIRING)

TaskRabbit

Staff Data Scientist

San Francisco, CA · On-site

$170 - $225/hr

W e are currently unable to provide visa sponsorship for this position (including H-1B, OPT, F1 ... About the Role Data Science plays a crucial role in driving impact at Taskrabbit. As a member of ...

Benjamin Moore & Co

Data Analyst FP&A

Montvale, NJ · On-site

$110K/yr

... data science pipelines from data ingestion to model deployment * Assess the performance of the models using metrics such as accuracy, precision, recall, F1-score and model tuning to improve ...

Hhw Group

NY · On-site

$90 - $130/hr

ML Engineers collaborate with data engineers, data scientists, and business stakeholders to turn ... Evaluate models using metrics such as accuracy, precision, recall, F1-score, ROC-AUC, and mean ...

Benjamin Moore & Co

Data Analyst FP&A

Montvale, NJ

$86K - $110K/yr

... data science pipelines from data ingestion to model deployment * Assess the performance of the models using metrics such as accuracy, precision, recall, F1-score and model tuning to improve ...

New

Benjamin Moore

Data Analyst FP&A

Montvale, NJ · On-site

... data science pipelines from data ingestion to model deployment * Assess the performance of the models using metrics such as accuracy, precision, recall, F1-score and model tuning to improve ...

New

Benjamin Moore & Co

Data Analyst FP&A

Montvale, NJ · On-site

... data science pipelines from data ingestion to model deployment * Assess the performance of the models using metrics such as accuracy, precision, recall, F1-score and model tuning to improve ...

Benjamin Moore & Co

Data Analyst FP&A

Montvale, NJ · On-site

$86K/yr

... data science pipelines from data ingestion to model deployment * Assess the performance of the models using metrics such as accuracy, precision, recall, F1-score and model tuning to improve ...

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Showing results 21-40

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F1 Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do f1 data science jobs pay per year?

As of Aug 11, 2026, the average yearly pay for 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.

Can a data scientist work in F1?

Yes, a data scientist can work in Formula 1 by analyzing race data, vehicle telemetry, and performance metrics to optimize car setup and strategy. F1 teams often seek data scientists skilled in statistical analysis, programming, and machine learning, using tools like Python, R, and SQL to support race performance and development.

What does an F1 Data Science do?

As an F1 Data Science professional, your daily tasks typically include analyzing real-time and historical race data to inform car performance optimization and race strategies. You’ll work closely with engineers, strategists, and drivers to interpret data from sensors and telemetry, build predictive models, and communicate findings to support decision-making. The role often involves developing and maintaining data processing pipelines as well as creating informative visualizations for both technical and non-technical stakeholders. Collaboration is key, as you’ll be part of a multidisciplinary team working together under tight deadlines during race events and testing sessions. This dynamic environment offers exciting opportunities to directly impact race outcomes through your data-driven insights.

How to get into F1 Data Science as a data analyst?

To become an F1 Data Science data analyst, develop strong skills in data analysis, programming (such as Python or R), and statistical modeling. Gaining experience with motorsport data, understanding F1 race operations, and familiarity with data visualization tools like Tableau or Power BI can also be beneficial. A background in engineering, physics, or computer science and relevant internships or projects can improve your chances of entering the field.

What skills and qualifications are needed for an F1 Data Science?

To thrive in an F1 Data Science role, you need a strong background in statistics, data analysis, programming (e.g., Python, R), and a solid understanding of motorsport engineering concepts, typically supported by a relevant degree in data science, engineering, or physics. Proficiency in data visualization tools, machine learning libraries, and race telemetry analysis systems is highly valued. Strong problem-solving ability, attention to detail, and clear communication are essential soft skills, as is a collaborative mindset for working closely with engineers and race strategists. These abilities are important for extracting actionable insights from complex data, optimizing car and team performance, and delivering results in the high-pressure, fast-paced environment of Formula 1.

What is an F1 Data Science?

An F1 Data Science job involves analyzing vast amounts of racing data to optimize car performance, race strategy, and driver decision-making. Data scientists in Formula 1 work with telemetry, simulations, and real-time data to extract insights that improve speed, reliability, and efficiency. They use machine learning, statistical modeling, and engineering principles to enhance car aerodynamics, tire management, and fuel strategy. This role requires a strong background in data analytics, programming (Python, MATLAB, SQL), and a deep understanding of motorsport dynamics.

More about F1 Data Science jobs
What cities are hiring for F1 Data Science jobs? Cities with the most F1 Data Science job openings:
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 F1 Data Science jobs? States with the most job openings for F1 Data Science jobs include:
What job categories do people searching F1 Data Science jobs look for? The top searched job categories for F1 Data Science jobs are:
F1 Data Science jobs near you
Infographic showing various F1 Data Science job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist - Modeling and Analytics

AAA Life Insurance Company

Livonia, MI • On-site

Full-time

Re-posted 26 days ago

Job description

Overview
Why AAA Life
AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them - and their families - when we're needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive.
How You'll Work
Work Solution: Hybrid
Responsibilities
What You'll Do
As a Data Scientist - Modeling and Analytics, you will be responsible for creating statistical models and performing analyses that drive sales and policy growth for the organization. You will partner with marketing team members, marketing managers, and other data analysts and scientists to identify business needs, gather data, build, and maintain effective models, and assess model performance over time. This role requires proficiency in SQL for data manipulation, Sagemaker or other AI/ML tools for model building, R or Python for data analysis, and a visualization tool such as PowerBI for quickly assessing model performance.
  • Build, maintain, and automate models to predict purchase propensity, policy premium, policy lapse/retention, cross-selling, upselling, next best action, and other consumer behaviors using both internal data, census data, appended aggregated data, and macroeconomic data. Recommend marketing distribution strategies leveraging data and models.
  • Conduct advanced exploratory data analysis. Perform model interpretability and explainability analysis.
  • Leverage specific metrics for model performance evaluation (e.g., precision, recall, F1 score). Implement A/B testing and experimental design and quantitative benchmarks for model improvement
  • Apply data privacy and compliance rules under regulations like GDPR, CCPA. Apply ethical AI principles. Apply model fairness and bias mitigation techniques.
  • Conduct analyses to assess model performance and campaign performance, both against test datasets and actual results once deployed.
  • Forecast campaign results based on models built and validate forecast against actuals.
  • Work with marketing data architects and engineers to ensure data is clean, complete, correct, and suitable for modeling using AI/ML platforms.
  • Develop and maintain data pipelines. Implement feature engineering techniques. Find, recommend, and purchase additional data to use in model building
  • Proactively identify opportunities for model improvement and need for additional modeling projects.
  • Maintain clear and organized documentation of data, methodologies, and results.
  • Implement automation in existing processes to improve overall efficiency.
  • Perform ad hoc analysis to support Marketing Distribution efforts
  • Actively seek out innovation and optimization use cases and experiments that will result in organizational transformation and sales and profit improvements.

Qualifications
Qualifications
Basic Required Qualifications:
  • Skilled in cross-functional collaboration, agile methodologies, project management and stakeholder communication.
  • Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference
  • Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts
  • Able to effectively communicate and translate complex, technical finding in a candid, clear, concise, and non-technical fashion to all audiences
  • Maintain perspective between the big picture and the tactical details. Remains aligned with the organization's strategic plan.
  • Stellar attention to detail, including maintaining accuracy and consistency across a suite of data science assets, keeping documentation up to date, and proactively identifying and addressing any quality concerns.
  • Self-starter with the ability to identify priorities and focus on items with high business impact.
  • Ability to present complex analytical findings with persuasiveness and succinctness.

Preferred Qualifications:
  • Master's degree in Statistics, Economics, Mathematics, Data Science, or related field. Experienced in marketing analytics or customer behavior modeling.
  • 5 to 7 years of experience in data science, including hands-on experience with Machine Learning (e.g., scikit-learn, TensorFlow, PyTorch, DataRobot, Databricks) and Generative Artificial Intelligence. Experience with automated model deployment and monitoring tools.
  • Possess outstanding analytical, modeling, problem-solving, and critical-thinking skills.
  • Experienced with cloud platforms such as AWS, Azure, and Google Cloud. Familiar with big data technologies (Spark, Hadoop)
  • Strong knowledge of machine learning algorithms and their applications in automated systems. Experience with advanced modeling techniques like ensemble methods, time series analysis, and probabilistic modeling
  • High proficiency in Python or R for statistical analysis, model development, and process automation. Proficient+ with SQL for data extraction and manipulation.
  • Proficiency with data visualization tools (Power BI, Tableau, or similar) and their automation capabilities

While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus.
This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements.
We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.
AAA Life Insurance Company does not offer immigration sponsorship for this position. This includes visa types such as H-1B, TN, and STEM OPT. Please do not apply if you currently require or may require employer-sponsored immigration support now or in the future.
#LI-Hybrid

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