1

F1 Data Science Jobs in Illinois (NOW HIRING)

... science language (F1 scores, regression error, statistical significance, etc.) as well as business domain specific language gained from experience analyzing the data in scope. • Provide some ...

Sr. Data Scientist

Chicago, IL · On-site

$114.50K - $194.70K/yr

... data science language (F1 scores, regression error, statistical significance, etc.) as well as business domain specific language gained from experience analyzing the data in scope.Provide some ...

Sr. Data Scientist

Chicago, IL · On-site

$114.50K - $194.70K/yr

... science language (F1 scores, regression error, statistical significance, etc.) as well as business domain specific language gained from experience analyzing the data in scope. • Provide some ...

Sr. Data Scientist

Chicago, IL · On-site

$114.50K - $194.70K/yr

... science language (F1 scores, regression error, statistical significance, etc.) as well as business domain specific language gained from experience analyzing the data in scope. • Provide some ...

Sr. Data Scientist

Chicago, IL · On-site

$114.50K - $194.70K/yr

... science language (F1 scores, regression error, statistical significance, etc.) as well as business domain specific language gained from experience analyzing the data in scope. • Provide some ...

Data Engineer I

Chicago, IL · On-site

$118K - $141.80K/yr

Students seeking F1-OPT transition support, STEM extension guidance, or long-term sponsorship * Aspiring tech professionals aiming to start their careers in backend development, DevOps, data science ...

Recent graduates in Computer Science, Engineering, Math, Statistics, or related STEM fields ... All visa types are welcome, including F1/OPT, CPT, H-1B, and U.S. citizens. We also assist eligible ...

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

... data scientist , and machine learning/AI engineer . In other words, SynergisticIT focuses on ... F1/OPT needing a clear employment pathway. SynergisticIT also supports candidates with guidance ...

next page

Showing results 1-20

F1 Data Science information

See Illinois salary details

$36.3K

$118.9K

$190.4K

How much do f1 data science jobs pay per year?

As of May 28, 2026, the average yearly pay for f1 data science in Illinois is $118,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $131,800.00 per year, depending on experience, location, and employer.

What is an F1 Data Science job?

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.

What are the key skills and qualifications needed to thrive in the F1 Data Science position, and why are they important?

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 are some common daily responsibilities for an F1 Data Science professional?

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.
What are the most commonly searched types of F1 Data Science jobs in Illinois? The most popular types of F1 Data Science jobs in Illinois are:
What job categories do people searching F1 Data Science jobs in Illinois look for? The top searched job categories for F1 Data Science jobs in Illinois are:
Sr. Data Scientist

Sr. Data Scientist

Northern Trust

Chicago, IL • On-site

Full-time

Posted 6 days ago


Northern Trust rating

7.7

Company rating: 7.7 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Northern Trust is a globally recognized financial institution that has been in operation since 1889. They are seeking a Senior Data Scientist to develop software for data acquisition, analyze datasets, and build machine learning models while collaborating with various teams and stakeholders.
Responsibilities:
• Develop software, typically in Python, to independently acquire data from disparate sources (databases, files, APIs, etc.) and combine them into appropriate training , validation and testing datasets
• Analyze raw datasets using descriptive statistics, working directly with domain experts to understand the meaning of data fields
• Build unit tests, data quality checks and data pipelines to ensure that algorithms use trusted data
• Develop and maintain an understanding of many algorithms across supervised learning, unsupervised learning and time series analysis
• Propose and develop machine learning ensemble methods that exhibit the best out-of-sample characteristics possible given the input dataset
• Utilize expertise in machine learning algorithms to tune algorithms using available hyper-parameters and carefully select feature subsets
• Discover biases or leakage in datasets and ensure that train/test splits reflect realistic expectations of real world performance
• Run large scale (either in parallel and/or distributed) training and inference jobs on private or public cloud infrastructure
• May present findings to internal and external customers using both data science language (F1 scores, regression error, statistical significance, etc.) as well as business domain specific language gained from experience analyzing the data in scope.
• Provide some guidance to other software development teams as Data Science Lab prototypes are engineered for full production environments
• Work across multiple projects in a fluid environment where work is required across the full research lifecycle from forming a hypothesis, acquiring data, and developing ETL-style software to presenting findings.
• Plan and execute data science training sessions and hackathons
• Work with external parties (vendors, universities, etc.) to incorporate new techniques and tools into the data science lab
• Solves complex problems
• Takes a new perspective on existing solutions
• Exercises judgment based on the analysis of multiple sources of information
• Impacts a range of customer, operational, project or service activities within own team and other related teams
• Works within broad guidelines and policies
Qualifications:
Required:
• Develop software, typically in Python, to independently acquire data from disparate sources (databases, files, APIs, etc.) and combine them into appropriate training, validation and testing datasets
• Analyze raw datasets using descriptive statistics, working directly with domain experts to understand the meaning of data fields
• Build unit tests, data quality checks and data pipelines to ensure that algorithms use trusted data
• Develop and maintain an understanding of many algorithms across supervised learning, unsupervised learning and time series analysis
• Propose and develop machine learning ensemble methods that exhibit the best out-of-sample characteristics possible given the input dataset
• Utilize expertise in machine learning algorithms to tune algorithms using available hyper-parameters and carefully select feature subsets
• Discover biases or leakage in datasets and ensure that train/test splits reflect realistic expectations of real world performance
• Run large scale (either in parallel and/or distributed) training and inference jobs on private or public cloud infrastructure
• May present findings to internal and external customers using both data science language (F1 scores, regression error, statistical significance, etc.) as well as business domain specific language gained from experience analyzing the data in scope.
• Provide some guidance to other software development teams as Data Science Lab prototypes are engineered for full production environments
• Work across multiple projects in a fluid environment where work is required across the full research lifecycle from forming a hypothesis, acquiring data, and developing ETL-style software to presenting findings.
• Plan and execute data science training sessions and hackathons
• Work with external parties (vendors, universities, etc.) to incorporate new techniques and tools into the data science lab
• Solves complex problems
• Takes a new perspective on existing solutions
• Exercises judgment based on the analysis of multiple sources of information
• Impacts a range of customer, operational, project or service activities within own team and other related teams
• Works within broad guidelines and policies
• Python, Common Python libraries (numpy, pandas, sklearn, etc.), Linux based operating systems, and basic development tools (Python IDEs, source control, etc.) required
• Requires in-depth conceptual and practical knowledge in own job discipline and basic knowledge of related job disciplines
• Applies best practices and how own area integrates with others
• Explains difficult or sensitive information; works to build consensus
• Computer Science degree (undergraduate or graduate level) and strong statistical background.
Preferred:
• Advanced distributed machine learning frameworks (e.g. Keras, TF, etc.), Azure cloud infrastructure preferred
• Data Science specific graduate work, Finance sector experience or coursework preferred
• Acts as a resource for colleagues with less experience
• May lead small projects with manageable risks and resource requirements
Company:
Northern Trust is a global leader in delivering innovative investment management, asset and fund administration, fiduciary and banking. Founded in 1889, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Northern Trust employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom