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Data Science Jobs in Elmhurst, IL (NOW HIRING)

This team utilizes the power of data science and machine learning techniques to address the diverse business questions and challenges facing Ulta Beauty. As a Data Scientist, you will succeed by ...

This team utilizes the power of data science and machine learning techniques to address the diverse business questions and challenges facing Ulta Beauty. As a Data Scientist, you will succeed by ...

Director, Data Science Operations

Chicago, IL ยท Remote

$160K - $226K/yr

Lead analytics/data science ETL projects. Lead team. Evaluate organization's tech. needs, create POCs for new implementation or tech. enhancement & recommend improvements. Remote working benefits ...

They will work under the guidance of senior data science leaders to deliver impactful, data-driven solutions for both internal teams and external clients. We are looking for someone with 1-2 years of ...

Data Scientist

Chicago, IL ยท On-site

$110 - $160/hr

Qualifications * 2+ years of experience in Data Science, Machine Learning, Analytics, or a related field. * Strong proficiency in Python and SQL. * Experience with machine learning frameworks such as ...

New

Data Scientist

Chicago, IL ยท On-site +1

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or related field of study, AND Five (5) years of experience in the job offered, as a Data Science Analyst ...

Data Scientist

Chicago, IL ยท On-site

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or related field of study, AND Five (5) years of experience in the job offered, as a Data Science Analyst ...

The team is responsible for protecting existing global data science environments, modernizing data science by onboarding practitioners to One True and cloudbased tooling, and continuously enhancing ...

... Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the creation of business insights using mathematical ...

You will identify and prioritize data science projects that align with business objectives and ensure that projects are completed on time and within budget. * You will design experiments for the team ...

... Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the creation of business insights using mathematical ...

Bachelor''s or Master''s degree in Computer Science, Data Science, Statistics, or related field. * Strong knowledge of Python and SQL. * Experience with Machine Learning algorithms. * Strong ...

Showing results 41-60

Data Science information

See Elmhurst, IL salary details

$37.3K

$122.2K

$195.7K

How much do data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science in Elmhurst, IL is $122,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $135,500.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Elmhurst, IL? The most popular types of Data Science jobs in Elmhurst, IL are:
What are popular job titles related to Data Science jobs in Elmhurst, IL? For Data Science jobs in Elmhurst, IL, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Elmhurst, IL look for? The top searched job categories for Data Science jobs in Elmhurst, IL are:
What cities near Elmhurst, IL are hiring for Data Science jobs? Cities near Elmhurst, IL with the most Data Science job openings:
Infographic showing various Data Science job openings in Elmhurst, IL as of July 2026, with employment types broken down into 8% Internship, 69% Full Time, 15% Part Time, and 8% Contract. Highlights an 77% In-person, 8% Hybrid, and 15% Remote job distribution, with an average salary of $122,245 per year, or $58.8 per hour.

Sr. Data Scientist - Marketing Science & Offerings

Ovative group

Chicago, IL โ€ข On-site

Full-time

Medical, Retirement, PTO

Re-posted 16 days ago


Job description

About Ovative Group:

Ovative Group is an independent, full-funnel media, measurement, and creative firm. Leveraging our deep industry expertise, we help brands like Best Buy, Domino's, American Eagle, The Home Depot, Post, Disney, Tumi, Michael Kors, Boost Mobile, and UnitedHealth Group transform their media and measurement programs. The result? Profitable growth that speaks for itself.

At Ovative, we don't just track data, we redefine success. How do we do it? Our proprietary MarTech platform, EMRge helps businesses transform marketing into a driver of sustainable growth. Powered by Enterprise Marketing Return (EMR), our differentiated approach to holistic media buying, planning, and measurement, EMRge is the first MarTech platform to measure businesses holistically. We're all about raising the bar every day, and it shows. Our work has been recognized by organizations like Digiday, Google, Inc. 5000, USA Today, and Search Engine Land.

About the Role:

As the Senior Data Scientist, you will play a key role in

  • Developing advanced marketing measurement capabilities that unlock our company vision to transform the measure of marketing success. You will be at the forefront of developing and deliveringdifferentiatedAIassistedmarketing data science and measurement solutions focused on maximizing profitable enterprise revenue and customer value for our clients.

  • Partnering with driven, solution-minded experts, business leaders, analysts, and scientists atOvativein engaging with clients, and defining approaches and road maps for solutions to client problems.

  • Technical mentoring of junior data scientists, guiding their algorithmic, testing methodological approaches, and reviewing their code.

  • Working with technology leaders, productownersand engineers to convert novel solutions developed to scalable new services and productofferingsatOvative.

  • Being a part of an inclusive culture that inspires and motivates the team and attracts new, diverse technical talent to the organization.

Responsibilities of a Sr. Data Scientist:

  • Lead technical contributor in a high-performance data science & advanced analytics team, responsible for your team's productivity, operational excellence, and business impact

  • Drive value across multiple business verticals by leading the technical development and deployment of impactful and interpretable models

  • Partner closely with Engineering and Product Management to scale your team's innovative measurement solutions into product and service offerings

  • Provide mentoring, training, and other opportunities for effective technical development of data scientists

  • Assistwith technical parts of business development as needed, including RFP response,salesand conferencepresentationsusingAIassistancewhere applicable.

  • Build strong relationships across the organization to understandinternal stakeholder needs for trusted data science support

Requirements:

  • 5+ years of hands-on experiencein data science, analytics, or a related quantitative field, with a strongtrack recordof delivering business value through technical innovation.

  • Proven success as atechnical contributor in high-performing data science teams, preferably withinproduct-centric or consulting environments.

  • Very Important: Ability to quickly learn and execute

  • Expertiseinadvanced statistical modeling and machine learning, with hands-on experiencepreferredin techniques such as:

  • Media Mix Modeling (MMM)

  • Incrementality Testing/ Causal Inference

  • AttributionModeling

  • CustomerAnalytics:Lifetime Value (CLV) Modeling,Segmentation

  • Generative AI Data Science

  • Proficiencyinthe following preferredprogramming and data environments:

  • Languages:SQL, and/or R or Python

  • Tools: Git, Docker,MLOps,POSITIDEs, cloud notebooks,Frameworks like Shiny,Streamlit,etc

  • Dataplatforms:BigQuery, Databricks

  • Familiarity withcloud infrastructure and deployment practices(e.g., AWS/GCP/Azure),MLOpspipelines, and containerizationis a plus.

  • Experience withBayesian/Probabilisticmodelingframeworks (e.g.,PyMC, Stan) is a plus.

  • Strongbusiness acumen, especially withindigital and traditional marketing domains; ability to translate data insights into clear strategic recommendations.

  • Excellent communicator: able to lead conversations withtechnical and non-technical stakeholders, including senior client partners and internal executives.

  • Demonstratedleadership and mentorship skills; able tothink independently,guide junior team members and influence cross-functional teams.

  • Bonus: Familiarity withGenerative AIapplications in marketing analytics (e.g., using LLMs for data summarization, content tagging, or creative testing insights).

Pay Transparency

AtOvative, we offer a transparent view into three core components of your total compensation package: Base Salary, Annual Bonus, and Benefits. The salary range for this position below is inclusive of an annual bonus.Actualoffers are made with consideration for relevant experience andanticipatedimpact.Additionalbenefits information is provided below.

For ourSr. Data Scientistpositions, our compensation ranges from $90,000to $132,000, which is inclusive of a 20% bonus.

Benefits of Working at Ovative Group:

We provide strong, competitive, holistic benefits that understand the importance of your life inside and out of work.

Culture:

Culture matters and we've been recognized as a Top Workplace for tenyears running because of it. We demand trust and transparency from each other. We believe in doing the hard and complicated work others put off. We're open in communication and floor plan. We're flat - our interns sit next to VPs, our analysts work closely with senior leaders, and our CEO interacts with every single person daily. Put together, these elements help foster an environment where smart people can support each other in performing to their highest potential.

Ovative is committed to fostering an inclusive environment where everyone can participate and thrive. We do not tolerate discrimination of any kind, including on the basis of race, sexual orientation, gender identity, or gender expression. Our policies reflect this commitment-for example, our medical leave benefits are inclusive of same-sex partners, ensuring equitable care and support for all families.

Compensation and Insurance:

We strive to hire and retain the best talent. Paying fair, competitive compensation, with a large bonus incentive, and phenomenal health insurance is an important part of this mix.

We're rewarded fairly and when the company performs well, we all benefit.

Tangible amenities we enjoy:

  • Access to all office spaces in MSP, NYC, and CHI

  • Frequent, paid travel to our Minneapolis headquarters for company events, team events, and in-person collaboration with teams

  • Generous paid vacation policy

  • 401k match program

  • Top-notch health insurance options, inclusive of same sex partners

  • Family formation benefits including reimbursement options for fertility, pregnancy, and parenting needs

  • Monthly stipend for your mobile phone and data plan

  • Sabbatical program

  • Charitable giving via our time and a financial match program

  • Shenanigan's Day

Working at Ovative won't be easy, but if you like getting your hands dirty, driving results, and being surrounded by the best talent, it'll be the most rewarding job you'll ever have. If you think you can make us better, we want to hear from you!