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Hourly Python Data Science Jobs in Naperville, IL

Northern Trust

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

Major Duties : • Develop software, typically in Python, to independently acquire data from ... Data Science specific graduate work, Finance sector experience or coursework preferred • Acts as ...

Ecolab

Sr Data Scientist

Naperville, IL · On-site

$118K - $177K/yr

... data science roles * 2 years' experience with Python * Excellent communication & presentation ... Hourly Compensation Range The pay range for this position is $118,100.00 - $177,100.00. Many ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$102K - $130K/yr

... with data science and machine learning concepts (e.g., multivariate regression, statistical inference, supervised and unsupervised learning, etc.) * Proficiency in Python and scientific related ...

Northern Trust

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

Major Duties : • Develop software, typically in Python, to independently acquire data from ... Data Science specific graduate work, Finance sector experience or coursework preferred • Acts as ...

Ulta Beauty

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

... with data science and machine learning concepts (e.g., multivariate regression, statistical inference, supervised and unsupervised learning, etc.) * Proficiency in Python and scientific related ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$102K - $130K/yr

... with data science and machine learning concepts (e.g., multivariate regression, statistical inference, supervised and unsupervised learning, etc.) * Proficiency in Python and scientific related ...

The Hartford

Data Scientist

Chicago, IL · On-site +1

$90K - $135K/yr

... science team responsible for designing and delivering powerful analytical insights utilizing ... Use R and/or Python to build, maintain, and support loss models across different lines of business

Sonsoft Inc

Data Science Analytics

Chicago, IL · On-site

Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities: * Understand business requirement from client and translate it to appropriate ...

SynergisticIT

Python Programmer - Entry

Chicago, IL · On-site

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

SynergisticIT

Python Developer - Remote

Chicago, IL · On-site

$51.75 - $71.50/hr

We want data science/machine learning/data analyst and Java full stack candidates. For data science ... Knowledge of statistics, SAS, Python, computer vision, data visualization tools * Excellent written ...

Thoughtworks

Principal Data Scientist

Chicago, IL · On-site

You will identify and prioritize data science projects that align with business objectives and ... You have experience with R, Python or equivalent statistical/data analysis tools and can write ...

Thoughtworks

Principal Data Scientist

Chicago, IL

You will identify and prioritize data science projects that align with business objectives and ... You have experience with R, Python or equivalent statistical/data analysis tools and can write ...

Thoughtworks

Principal Data Scientist

Chicago, IL

You will identify and prioritize data science projects that align with business objectives and ... You have experience with R, Python or equivalent statistical/data analysis tools and can write ...

ThoughtWorks

Principal Data Scientist

Chicago, IL · On-site

You will identify and prioritize data science projects that align with business objectives and ... You have experience with R, Python or equivalent statistical/data analysis tools and can write ...

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Hourly Python Data Science information

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

As of Jun 26, 2026, the average hourly pay for hourly python data science in Naperville, IL is $58.53, according to ZipRecruiter salary data. Most workers in this role earn between $48.27 and $66.49 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 popular job titles related to Hourly Python Data Science jobs in Naperville, IL? For Hourly Python Data Science jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Hourly Python Data Science jobs in Naperville, IL look for? The top searched job categories for Hourly Python Data Science jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Hourly Python Data Science jobs? Cities near Naperville, IL with the most Hourly Python Data Science job openings:
Hourly Python Data Science jobs near you

Associate Director, Media Data Science

Avalere Health

Chicago, IL • On-site, Remote

$60K - $61K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 12 hours ago

Job description

About Avalere Health

United by one profound purpose: to reach EVERY PATIENT POSSIBLE. At Avalere Health, we ensure every patient is identified, treated, supported, and cared for. Equally. Our Advisory, Medical, and Marketing teams come together - powerfully and intentionally - to forge unconventional connections, building a future where healthcare is not a barrier and no patient is left behind. 

Achieving our mission starts with providing enriching, purpose-driven careers for our team that empower them to make a tangible impact on patient lives. We are committed to creating a culture where our employees are empowered to bring their whole selves to work and tap into the power of diverse backgrounds and skillsets to play a part in making a difference for every patient, everywhere. 

Our flexible approach to working allows our global teams to decide where they want to work, whether in-office or at home based on team and client need. Major city hubs in London, Manchester, Washington, D.C., and New York, and smaller offices globally, serve as collaboration hubs allowing our teams to come together when it matters. Homeworkers are equally supported, with dedicated social opportunities and resources.  

Our inclusive culture is at the heart of everything we do. We proudly support our employees in bringing their whole selves to work with our six Employee Network Groups - Diverse Ability, Family, Gender, LGBTQ+, Mental Health, and Race/Ethnicity. These groups provide opportunities to promote diversity, equity, and inclusion and to connect, learn, and socialise through regular meetings and programs of activity. We are an accredited Fertility Friendly employer with our Fertility Policy, enhanced parental leave, and culture of flexibility ensuring every employee feels supported across their family planning journey and can work in a way that suits their family's needs. 

We are deeply invested in supporting professional growth for our employees through day-to-day career experiences, access to thousands of on-demand training sessions, regular career conversations, and the opportunity for global, cross-capability career moves.  

We take pride in being part of the Disability Confident Scheme. This helps make sure you can be interviewed fairly if you have a disability, long term health condition, or are neurodiverse. If you'd like to apply and need adjustments made, you can let us know in your application.

We are seeking an Associate Director of Media Data Science to lead advanced media analytics across HCP and DTC campaigns. This individual will be an innovator and cross-functional collaborator who pushes the boundaries of healthcare media measurement, connects complex datasets, and translates insights into compelling business narratives. 

This role sits at the intersection of data science, media strategy, and client impact - responsible for connecting omnichannel media investment to measurable outcomes and growth. 

What You'll Do
  • Lead advanced measurement strategy across HCP and DTC campaigns, including MMM, multi-touch attribution, incrementality testing, brand affinity, and lift studies.
  • Build, run, and refine hands-on data science models to evaluate media effectiveness, including linear regression, marketing mix models, attribution models, predictive models, and other statistical approaches.
  • Integrate and analyze healthcare datasets including IQVIA, Crossix, PurpleLab, Experian, Medicaid, and other claims or identity-based data sources to quantify media impact.
  • Connect exposure across linear TV, Google, SEM, display, paid social, radio, and programmatic business outcomes and promotional KPIs.
  • Query, manipulate, and structure large datasets within Snowflake, operating within a medallion (Bronze/Silver/Gold) data architecture.
  • Use SQL, Python, R, and/or other statistical tools to clean, transform, model, and analyze large-scale media and healthcare datasets.
  • Apply tools such as SAS, SPSS, or similar statistical platforms to support advanced modeling, analysis, and validation where appropriate.
  • Build structured datasets and dashboards in Tableau and Looker that support real-time insight generation and executive reporting.
  • Translate statistical modeling outputs into clear, actionable storylines that demonstrate how campaigns drive business performance.
  • Develop executive-ready PowerPoint presentations that bring data to life for clients and senior stakeholders.
  • Collaborate closely with Media Strategy, Data Strategy, Engineering, and Account teams to ensure measurement frameworks, model outputs, and reporting solutions are aligned with business objectives.
  • Mentor analysts and foster a culture of innovation, rigor, technical excellence, and cross-functional partnership within the data science function.
About You
  • 6+ years of experience in data science, advanced analytics, media measurement, or marketing analytics, preferably within healthcare, pharma, life sciences, or another highly regulated industry.
  • Hands-on experience building, running, and interpreting statistical models, including linear regression, marketing mix modeling, multi-touch attribution, incrementality testing, lift studies, and/or predictive modeling.
  • Strong technical capability with SQL, Snowflake, Python, and/or R, including experience cleaning, transforming, analyzing, and modeling large-scale datasets.
  • Experience with SAS, SPSS, or similar statistical tools preferred.
  • Experience leveraging healthcare data platforms and datasets such as IQVIA, Crossix, PurpleLab, Experian, Medicaid, claims data, identity-based data, or similar sources.
  • Strong Tableau and/or Looker skills, with the ability to develop reporting solutions that support both detailed analysis and executive-level decision-making.
  • Strong communication and storytelling skills, including the ability to translate complex modeling outputs into clear, actionable business narratives for clients and senior stakeholders.
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Analytics, or a related field required; Master's degree preferred.
$120,000 - $165,000 a year
What we can offer

You will receive a 401K plan with an employer match contribution up to 4% (immediately vested), as well as life insurance, disability coverage, and medical, dental, and vision plans for peace of mind. Enjoy flexible working arrangements, including hybrid and remote work, along with the option to work from anywhere across the globe two weeks each year. We provide 20 vacation days plus one personal well-being day, recognise 9 public holidays, along with gifted end-of-year holidays and an early Summer Friday finish in June, July, and August. 

Access free counselling through our employee assistance program and personalized health support. Our enhanced maternity, paternity, family leave, and fertility policies provide support across every stage of your family-planning journey. You can also benefit from continuous opportunities to professionally develop with on-demand training, support, and global mobility opportunities across the business.  

We encourage all applicants to read our candidate privacy notice before applying to Avalere Health.
We may use AI tools to support elements of the hiring process, such as reviewing applications, analyzing CV/resumes, assessing responses, or transcribing interviews. These tools assist our Talent team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please review our candidate privacy policy.
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