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Spotify Data Science Jobs in Illinois (NOW HIRING)

Data Engineer (AWS, Azure, GCP)

Chicago, IL · On-site

$118K - $141K/yr

We build pipelines and prepare data for use by data scientists, data analysts, and other data ... Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more * Employee ...

AI/ML

Chicago, IL · On-site

... data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping ...

... data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping ...

... data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping ...

... data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping ...

... data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping ...

Spotify Data Science information

See Illinois salary details

$20.6K

$102.5K

$184.7K

How much do spotify data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for spotify data science in Illinois is $102,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,158.00 and $141,274.00 per year, depending on experience, location, and employer.

What is a Spotify data science job?

A Spotify Data Science job involves analyzing user behavior, music trends, and product performance to drive data-informed decisions. Data scientists at Spotify work with large-scale datasets, use machine learning and statistical models, and collaborate with product, engineering, and business teams. They help improve recommendations, personalize user experiences, and optimize content discovery. The role typically requires strong programming skills (Python, SQL), experience with data visualization, and expertise in A/B testing and experimentation.

What are the key skills and qualifications needed to thrive in the Spotify data science position?

To thrive as a Spotify Data Science professional, you need a solid grounding in statistics, machine learning, data analysis, and experience with programming languages such as Python or Scala, generally supported by a degree in computer science, math, or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud computing, SQL, and data visualization tools is highly valued, as are certifications in data science or analytics. Strong communication skills, creativity, and cross-functional collaboration are vital soft skills for translating data insights into actionable business solutions. These skills enable you to effectively analyze user behavior, improve product recommendations, and drive data-informed decisions in Spotify’s fast-paced, innovative environment.

What is the typical work environment and team structure for a data science role at Spotify?

Spotify Data Scientists commonly work in cross-functional teams alongside engineers, product managers, and designers, focusing on projects such as enhancing recommendation algorithms or analyzing user engagement. The environment is collaborative and fast-paced, often involving agile methodologies and regular knowledge sharing through team standups, code reviews, and data deep dives. Data Scientists are encouraged to experiment, drive innovation, and contribute ideas across the product lifecycle, making it an engaging setting for continuous learning. Team members may work remotely or from Spotify offices, with a strong emphasis on open communication and diversity of thought.

How much do Spotify data scientists make?

Spotify data scientists typically earn between $100,000 and $150,000 annually, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with roles often requiring proficiency in data analysis, machine learning, and programming tools like Python or SQL.

How to become a data scientist at Spotify?

To become a data scientist at Spotify, candidates typically need a strong background in statistics, programming (especially Python or R), and data analysis. Relevant experience with machine learning, data visualization, and familiarity with big data tools like Spark or Hadoop are also important, along with a bachelor's or master's degree in a related field. Building a portfolio of projects and gaining experience in the music or entertainment industry can enhance prospects.

What does a data scientist do at Spotify?

A data scientist at Spotify analyzes large datasets to uncover insights that improve user experience, personalize recommendations, and optimize content delivery. They use statistical models, machine learning techniques, and tools like Python, R, and SQL to interpret data and support product development. Strong analytical skills and knowledge of music streaming trends are essential for this role.

What are the most commonly searched types of Spotify Data Science jobs in Illinois?

The most popular types of Spotify Data Science jobs in Illinois are:

What are popular job titles related to Spotify Data Science jobs in Illinois?

For Spotify Data Science jobs in Illinois, the most frequently searched job titles are:

What cities in Illinois are hiring for Spotify Data Science jobs?

Cities in Illinois with the most Spotify Data Science job openings:

Infographic showing various Spotify Data Science job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $102,545 per year, or $49.3 per hour.

Associate Director, Data Science

Starcom Mediavest Group Germany Gmbh

Chicago, IL • On-site

$60K - $61K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Company Description

Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals.

Job DescriptionThe Senior Analyst, Data Science is part of a team tasked with designing, developing, and delivering advanced ML-based products and analytic solutions integrated into the Publicis CoreAI workflows and end-product offerings. We are seeking a hands-on data science practitioner who has applied his technical expertise to innovative data and ML analytic problems.  Successful candidates will have delivered end products to internal teams and/or clients. The ideal candidate blends technical-domain expertise with hands-on modeling and data engineering experience in leveraging structured & unstructured data, innovative modeling techniques, and technology platforms to develop and deploy effective applications that will be embedded in our CoreAI workflows.  It is essential for the candidate to be able to interpret results and find the story within the data and statistical results.Responsibilities

Data Science Solutions:

  • As a Sr. Analyst, contribute to the development of essential ML-based data products and analytic solutions for the Publicis CoreAI workflows and marketplace offering. You will be collaborating with other data scientists and data engineers from partner Publicis teams in-house.
  • Partnering with peers in related technical areas (such as technology and product engineering), bring your technical domain expertise to audit/assess and maintain our current data science capabilities and offerings to support media & marketing planning and operations functions.
  • Establish and maintain ML Ops for the internal data science team to provide model governance across the organization and product suite.
  • Operate in a constant 'growth hacking' mode that seeks to enhance our current suite of AI-based analytic data products. Produce Proof-of-Concepts to evaluate new tools.
  • Stay ahead of the curve by continuously exploring, evaluating, and adopting innovative technologies to enhance development efficiency.

Subject Matter Technical Expertise:

  • Work and communicate effectively with partner product collaborators. Translate client needs and output requirements into AI/ML solution architecture, tools, tasks, and code. This work aims to improve the Publicis CoreAI offering.  
  • Experience and expertise with statistical segmentation methodologies.
  • Hands-on expertise and deep knowledge of multiple programming languages, frameworks, and tools to build elegant ML/AI/GenAI applications. These applications solve practical problems.   Able to adopt new languages and paradigms, applying them to the problem domain where they deliver significant benefit.
  • Participate in the development of tools that will enable teams to produce high-quality audiences and insights.
  • Ability to model in multiple data domains & platforms.
  • Work with internal clients to define scope, objectives, outcomes, and design criteria for the most effective AI/ML solutions set.
  • Collaborate with cross-functional teams-including product strategists, data & technology engineers, and business analysts-as you develop and deliver innovative AI/ML features and services that will lead to successful workflow implementations.
  • Ensure projects adhere to quality standards, timelines, and budgets, managing client expectations effectively (as needed).

Domain Thought-Leadership & Industry Innovation:

  • Stay abreast of trends, technologies, and guidelines in the data science field.  
  • Support internal knowledge-sharing and training programs to elevate the team's expertise.
  • Collaborate with other data scientists on the team and beyond.
  • Help set a higher standard for the organization in your technical area.  
Qualifications
  • Minimum of 3 years of experience in data science and advanced analytics.
  • Experience with the development of ML solutions in a fast-moving, innovation-focused organization in categories such as e-commerce/retail (e.g., Chewy, Wayfair), entertainment/media/travel (e.g., Spotify, Expedia), advertising platforms/services (e.g., Google, Amazon).
  • Demonstrable history of hands-on coding with a portfolio that showcases your prowess.
  • Mastery of multiple programming languages and development tools. Experience building products used by other developers.
  • Proven track record of building successful models and modeling applications in a collaborative work environment.
  • A reputation for writing code and developing applications that have not only earned the respect of your peers but have also left them in awe.
  • Exceptional problem-solving skills and a proactive approach to overcoming challenges.

Preferred Skills:

  • Strong communication and presentation skills with the ability to effectively engage clients and stakeholders.
  • Experience with agile and other progressive development methodologies.
  • Exceptional problem-solving skills and a proactive approach to overcoming challenges.
  • Experience with Databricks

Education:

  • Advanced degrees (M.Sc./PhD) in Computer Science, Engineering, Math, or a related field are preferred.
  • Certifications in analytics or data science (e.g., AWS Certified Data Analytics, Certified Analytics Professional) preferred.
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.

Veterans Encouraged to Apply.

#LI-AM3

 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 9/14/2026.Employment Type: FULL_TIME