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Hourly Python Data Science Jobs in Deerfield, IL

Director, Data Science

Chicago, IL · Hybrid

$120K - $175K/yr

Director, Data Science The Data Science team is pivotal in the delivery of modern agency services ... Hands-on programming language skills (SQL, Python, R, etc) * Experienced in machine learning ...

Director, Data Science

Chicago, IL · Hybrid

$140K - $170K/yr

Must have hands-on expertise in Python; SQL proficiency preferred * Experience with cloud computing platforms such as AWS or GCP * Experience managing data scientists and end-to-end analytics ...

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... in Python and/or R. Prior Management Experience Expertise in the end-to-end modeling lifecycle ...

Responsibilities : • Develop software, typically in Python, to independently acquire data from ... data science language (F1 scores, regression error, statistical significance, etc.) as well as ...

Do you have experience in python working across a variety of data science tasks? Our client is looking for other inquisitive minds to help them solve challenging problems as they grow and scale their ...

Do you have experience in python working across a variety of data science tasks? Our client is looking for other inquisitive minds to help them solve challenging problems as they grow and scale their ...

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Hourly Python Data Science information

See Deerfield, IL salary details

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$87

How much do hourly python data science jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for hourly python data science in Deerfield, IL is $59.61, according to ZipRecruiter salary data. Most workers in this role earn between $49.13 and $67.69 per hour, depending on experience, location, and employer.

What is the difference between Hourly Python Data Science vs Data Analyst?

AspectHourly Python Data ScienceData Analyst
Required SkillsPython, statistical analysis, machine learningExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Common CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

Hourly Python Data Science roles focus on advanced analytics, machine learning, and programming with Python, often in tech-driven environments. Data Analysts typically handle data cleaning, visualization, and reporting using tools like Excel and SQL. While both roles require data handling skills, Python Data Science positions demand programming expertise and statistical knowledge, making them more technical and specialized.

What are Hourly Python Data Science jobs?

Hourly Python Data Science jobs are roles where professionals use Python programming to analyze, interpret, and visualize data, and are paid based on the number of hours they work. These positions often involve tasks such as data cleaning, statistical analysis, machine learning, and data visualization. Hourly data science jobs offer flexibility for both employers and workers, making them popular for freelance, contract, or part-time arrangements. Python's robust libraries and tools make it a preferred language for these roles.

What are some common challenges faced by hourly Python Data Science professionals, and how can they be addressed?

Hourly Python Data Science professionals often encounter challenges such as managing multiple clients with varying expectations, adapting quickly to different data environments, and handling inconsistent workloads. To address these, it's important to establish clear communication with clients about project scope and deadlines, maintain well-organized code and documentation for easy context switching, and utilize tools like version control and virtual environments. Building a strong personal workflow and prioritizing time management can help ensure high-quality deliverables across diverse projects.

What are the key skills and qualifications needed to thrive as an Hourly Python Data Science professional, and why are they important?

To thrive as an Hourly Python Data Science professional, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by a degree in a quantitative field or equivalent experience. Familiarity with tools like Pandas, NumPy, scikit-learn, and data visualization libraries, as well as experience with version control systems like Git, is typically required. Strong problem-solving abilities, effective communication, and adaptability help you deliver insights and solutions to clients efficiently. These skills ensure accurate analysis, clear reporting, and the ability to meet diverse project needs in a flexible, project-based environment.
What are the most commonly searched types of Python Data Science jobs in Deerfield, IL? The most popular types of Python Data Science jobs in Deerfield, IL are:
What are popular job titles related to Hourly Python Data Science jobs in Deerfield, IL? For Hourly Python Data Science jobs in Deerfield, IL, the most frequently searched job titles are:
What job categories do people searching Hourly Python Data Science jobs in Deerfield, IL look for? The top searched job categories for Hourly Python Data Science jobs in Deerfield, IL are:
What cities near Deerfield, IL are hiring for Hourly Python Data Science jobs? Cities near Deerfield, IL with the most Hourly Python Data Science job openings:
Infographic showing various Hourly Python Data Science job openings in Deerfield, IL as of June 2026, with employment types broken down into 2% As Needed, 54% Full Time, 40% Part Time, 2% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $123,997 per year, or $59.6 per hour.

$60K - $61K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

Company Description

Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign's Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world's leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.

The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds.

This role at Digitas will serve as a member of Publicis Groupe's strategic internal agency, Constellation.

Constellation serves as an internal-facing brand formed by a collective of Publicis Groupe agencies to address our client's creative, data, strategy, media, and technology requirements. Team members collaborate across agencies while functioning as sub-divisions within their respective brands to provide dedicated support for the client. By acting as a unified interface, Constellation eliminates operational silos and presents a single service entity and primary point of contact for the client.

Job Description

By implementing conceptual data frameworks and developing marketing science solutions, The Associate Director, Data Science is a key partner for our client and internal teams. In this role, you will show thought leadership in bringing innovative data science methodologies that answer our client's marketing and strategy questions.

Responsibilities

Client & Business Impact

  • Serve as a strategic advisor to clients and internal stakeholders on data science applications and approaches
  • Translate analytical work into clear business value and actionable recommendations
  • Identify opportunities to expand data science impact and contribute to organic account growth

Project & Cross-Capability Leadership

  • Lead multiple concurrent data science projects across clients and capabilities with varying complexity
  • Define project approach, manage risks, and align stakeholders on priorities and outcomes
  • Partner across media, strategy, analytics, and technology teams to deliver integrated solutions
  • Represent data science across cross-functional initiatives and client engagements

Thought Leadership & Innovation

  • Provide a clear point of view on statistical methods, machine learning, and measurement approaches
  • Evaluate, develop, and socialize new methodologies, tools, and AI-driven solutions
  • Apply innovative thinking to solve complex marketing and business problems

Team Leadership & Culture

  • Mentor and develop junior team members through coaching and feedback
  • Foster a collaborative, inclusive, and high-performing team environment
  • Contribute to capability development, training, and best practices
Qualifications
  • 7-9 years of experience in data science, analytics, or marketing science within an agency, consulting, or technology environment
  • Strong foundation in statistical modeling, machine learning, causal inference, and experimental design
  • Proficiency in SQL, Python and/or R; experience with distributed systems or large-scale data processing preferred
  • Experience with Marketing Mix Modeling (MMM), attribution, and incrementality measurement
  • Hands-on experience with cloud platforms (preferably GCP: BigQuery, Looker, DataProc) and deploying data science solutions
  • Strong understanding of modern AI/ML approaches and their practical applications
  • Proven ability to connect data science solutions to business outcomes and client value
  • Demonstrated experience leading multiple projects and influencing cross-functional teams
  • Experience managing and developing data science talent
  • Excellent communication skills, with the ability to synthesize complex concepts for a range of audiences
  • Comfortable navigating ambiguity in fast-paced, evolving environments
Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

 Compensation Range: USD $112,290.00 - USD $161,280.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 7/15/2026.Employment Type: FULL_TIME