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Temp F1 Data Science Jobs in Illinois (NOW HIRING)

Northern Trust

Sr. Data Scientist

Chicago, IL

$114K - $194K/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 ...

Northern Trust

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/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 ...

Cleo (US)

Product Manager

Chicago, IL

$130K - $150K/yr

Partner closely with data scientists, ML engineers, and software engineers to scope models ... AUROC, RMSE, F1, eval sets for LLMs), and hold technical teams accountable to model quality.

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Temp F1 Data Science information

What is the difference between Temp F1 Data Science vs Data Analyst?

AspectTemp F1 Data ScienceData Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; some roles prefer certifications in data analysis or machine learningBachelor's in Statistics, Mathematics, or related field; often requires proficiency in data visualization and SQL
Work EnvironmentProject-based, collaborative teams, often in tech or finance industriesBusiness-focused, working with stakeholders to interpret data and generate reports
Employer & Industry UsageUsed by tech companies, financial institutions, and research organizationsCommon in corporate, healthcare, and marketing sectors

Temp F1 Data Science roles focus on developing models and advanced analytics, requiring technical skills in programming and machine learning. Data Analysts primarily interpret data, create reports, and support decision-making with visualization tools. Both roles share foundational skills but differ in complexity and scope.

Can a data scientist work in F1?

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, machine learning, and programming languages like Python or R, working closely with engineers and strategists during race weekends and development phases.

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 cities in Illinois are hiring for Temp F1 Data Science jobs?

Cities in Illinois with the most Temp F1 Data Science job openings:

Temp F1 Data Science jobs near you

Sr. Data Scientist

Northern Trust

Chicago, IL

$114K - $194K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Northern Trust rating

8.2

Company rating: 8.2 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

Job description

About Northern Trust:

Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.

Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service.

Major Duties :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 datasetsAnalyze raw datasets using descriptive statistics, working directly with domain experts to understand the meaning of data fieldsBuild unit tests, data quality checks and data pipelines to ensure that algorithms use trusted dataDevelop 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 datasetUtilize expertise in machine learning algorithms to tune algorithms using available hyper-parameters and carefully select feature subsetsDiscover biases or leakage in datasets and ensure that train/test splits reflect realistic expectations of real world performanceRun large scale (either in parallel and/or distributed) training and inference jobs on private or public cloud infrastructureMay 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 environmentsWork 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 hackathonsWork with external parties (vendors, universities, etc.) to incorporate new techniques and tools into the data science labSolves complex problemsTakes a new perspective on existing solutionsExercises judgment based on the analysis of multiple sources of informationImpacts a range of customer, operational, project or service activities within own team and other related teamsWorks within broad guidelines and policiesKnowledge :Python, Common Python libraries (numpy ,pandas, sklearn, etc.), Linux based operating systems, and basic development tools (Python IDEs, source control, etc.) requiredAdvanced distributed machine learning frameworks (e.g. Keras, TF, etc.), Azure cloud infrastructure preferredRequires in-depth conceptual and practical knowledge in own job discipline and basic knowledge of related job disciplinesApplies best practices and how own area integrates with othersExplains difficult or sensitive information; works to build consensusExperience :Computer Science degree (undergraduate or graduate level) and strong statistical background. Data Science specific graduate work, Finance sector experience or coursework preferredActs as a resource for colleagues with less experience;May lead small projects with manageable risks and resource requirements

Salary Range:

$114,500 - 194,700 USD

Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component.

Working with Us:

As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.

Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve!Join a workplace with a greater purpose.

We'd love to learn more about how your interests and experience could be a fit with one of the world's most admired and sustainable companies! Build your career with us andapply today.#MadeForGreater

Reasonable accommodation

Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com.


We hope you're excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.

Apply today and talk to us about your flexible working requirements and together we can achieve greater.

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