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Part Time F1 Data Science Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

Data Scientist

Bowie, MD · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

Data Scientist

Laurel, MD

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

Data Scientist

Arlington, VA · On-site

$112K - $257K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

Data Scientist

Annandale, VA · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

Data Scientist

Bowie, MD

$112K - $257K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

Data Scientist

Washington, DC · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

Data Scientist

Ashton, MD · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

Data Scientist

Lorton, VA · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time F1 Data Science information

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$37.5K

$122.7K

$196.5K

How much do part time f1 data science jobs pay per year?

As of Jun 4, 2026, the average yearly pay for part time 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 are the key skills and qualifications needed to thrive as a Part Time F1 Data Science professional, and why are they important?

To thrive as a Part Time F1 Data Science professional, you need strong statistical analysis, data modeling, and programming skills (typically in Python or R), along with a relevant degree or coursework in data science or a related field. Familiarity with data visualization tools (such as Tableau or Matplotlib), machine learning frameworks, and motorsport data systems like telemetry software is also essential. Critical thinking, effective communication, and adaptability help you collaborate with engineering teams and translate data insights into actionable strategies. These skills are crucial for delivering impactful data-driven decisions that optimize race performance and support team objectives in a fast-paced environment.

What are some common challenges faced by part-time F1 Data Science professionals, and how can they effectively manage their workload?

Part-time F1 Data Science professionals often encounter challenges such as balancing multiple projects, adapting to the fast-paced nature of Formula 1, and ensuring they remain integrated with the full-time team. Effective communication and proactive time management are essential to stay aligned on project goals and deadlines. Leveraging collaborative tools and maintaining regular check-ins with engineers and analysts can help ensure their insights are both timely and actionable, despite limited hours.

What is a Part Time F1 Data Science job?

A Part Time F1 Data Science job involves analyzing and interpreting data related to Formula 1 racing on a part-time basis. Professionals in this role use statistical methods and machine learning to extract insights from race data, telemetry, and simulations to help teams improve performance and strategy. The part-time nature allows for flexible hours, often suitable for students or those with other commitments. This position may involve working remotely or on-site, depending on the employer.

What is the difference between Part Time F1 Data Science vs Part Time F1 Data Analysis?

AspectPart Time F1 Data SciencePart Time F1 Data Analysis
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of programming languages like Python or RDegree in Data Analysis, Statistics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often in tech or automotive industriesBusiness-focused, reporting, and decision-making in various industries including automotive
Employer & Industry UsageTech companies, automotive teams, research institutionsBusiness departments, marketing, finance, automotive companies

Part Time F1 Data Science involves advanced analytics, machine learning, and programming skills, focusing on developing models and algorithms. In contrast, Part Time F1 Data Analysis emphasizes interpreting data, creating reports, and supporting decision-making. Both roles require strong analytical skills but differ in technical complexity and focus areas.

More about Part Time F1 Data Science jobs
What cities are hiring for Part Time F1 Data Science jobs? Cities with the most Part Time 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 job categories do people searching Part Time F1 Data Science jobs look for? The top searched job categories for Part Time F1 Data Science jobs are:
Part Time F1 Data Science jobs near you
Infographic showing various Part Time F1 Data Science job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Freelance Data Science Engineer (Python & SQL)

Mind Rift

Wausau, WI • On-site

$90/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare) Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn) Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations) Incorporate big data processing scenarios requiring scalable computational approaches Verify solutions using Python with standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers What we look for This opportunity is a good fit for Data Science specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: 5+ years of hands-on data science experience with proven business impact Portfolio of completed projects and publications showcasing real-world problem-solving Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications Expert with SQL and database operations for data manipulation and analysis Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases) Understanding of MLOps practices and model deployment workflows Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain) Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.

This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $90 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise.

Please note that other projects on the platform may offer different earning levels based on their requirements. #J-18808-Ljbffr

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