New

Data Scientist, Creative Excellence

Ipsos-Insight, LLC
United States, Illinois, Chicago
222 South Riverside Plaza (Show on map)
Feb 03, 2026
What you can expect to be doing: Support a diverse portfolio of projects across Ipsos NA including predictive modeling, text analytics, data mining, exploration, regression, and time series analyses. Design, train, and utilize machine learning algorithms and data processing pipelines. Work with stakeholders to identify key metrics and opportunities for improving business processes, products, and services. Research and develop new solutions and deployable tools to facilitate market research. Communicate with and provide consulting for internal teams and external clients on data models, analysis findings, process efficiency, and marketing science best practices. Create data visualizations, reports, and sometimes dashboards. Stay abreast of the latest data science techniques and tools available. This might be the job for you if you have: Bachelor's degree (or equivalent) in statistics, computer science, or related field Proficiency in Python and SQL Strong technical communication skills Proficiency in data mining, statistical analysis, time series analysis, and machine learning Proficiency with data science toolkits (e.g., NumPy, Pandas, SciKit Learn, SciPy, etc.) Experience with data visualization tools (e.g., MatPlotLib, Plotly, Tableau, D3.js, etc.) Good time management, collaboration, and self-sufficiency skills Nice to haves: Proficiency in R, JavaScript Experience with natural language processing, large language models, geospatial analysis, and neural networks Experience with cloud computing platforms (AWS, GCP) Experience with big data technologies (Spark, Hadoop, etc.) Project management experience If you don't meet 100% of the requirements, we encourage all who feel they might be a fit for the opportunity to apply. We may consider a variety of backgrounds for a particular role and are also committed to considering candidates for available positions throughout our organization, not just the one you're applying to! In accordance with NY/CO/CA/WA law, the estimated base salary range for this role is $80,000 to $100,000. Your final base salary will be determined based on several non-discriminatory factors which may include but are not limited to location, work experience, skills, knowledge, education and/or certifications. What's in it for you: At Ipsos you'll experience opportunities for Career Development, an exceptional benefits package (including generous PTO, healthcare plans, wellness benefits), a flexible workplace policy, and a strong collaborative culture. To find out more about all the great reasons to work at Ipsos, how we're making an impact around the world, and more about our benefits and employee programs, please visit: Why Work at Ipsos \| US Commitment to Diversity Ipsos recognizes the necessity of building an inclusive culture that values each employee's individuality and diverse perspectives. For more than 40 years, our mission has been to generate and analyze data about society, markets, brands, and behaviors to provide our clients with the insights that elevate their understanding of the world. This could not be fulfilled without Ipsos' diverse employees who compile and analyze this data-they are the essence of who we are and what we do. We are committed to providing equal opportunity to all employees, creating an environment that promotes inclusion, and enabling employees from all walks of life to flourish. Ipsos encourages our employees to act in a respectful and responsible manner, in line with code of best practices concerning diversity and inclusion, human rights, equality, and civility for every individual. Ipsos is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or any other protected class and will not be discriminated against on the basis of disability. #LI-AE1 #LI-Hybrid