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Entry Level Spotify Data Science Jobs in Chicago, IL

Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field. Strong knowledge of data analysis, statistical techniques, and data visualizations Experience ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

Job Title: Entry-Level Data Analyst Location: Chicago, IL Job Type: Only W2 · Collect, clean, and ... Qualifications: · Bachelor's degree in computer science, Data Analytics, Statistics, Mathematics ...

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 ...

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Entry Level Spotify Data Science information

See Chicago, IL salary details

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How much do entry level spotify data science jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for entry level spotify data science in Chicago, IL is $33.92, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $37.88 per hour, depending on experience, location, and employer.

How much do entry level Spotify data science professionals make?

Entry-level data science professionals at Spotify typically earn between $70,000 and $90,000 annually, depending on location and experience. These roles often require proficiency in programming languages like Python or R and familiarity with machine learning tools and data analysis techniques.

How to become an entry level Spotify data science?

To become an entry-level Spotify data scientist, candidates typically need a bachelor's degree in a quantitative field such as computer science, statistics, or mathematics. Gaining experience with programming languages like Python or R, understanding machine learning concepts, and working with large datasets are essential. Familiarity with data analysis tools, SQL, and a strong foundation in statistics can improve job prospects.

What are the most commonly searched types of Spotify Data Science jobs in Chicago, IL?

The most popular types of Spotify Data Science jobs in Chicago, IL are:

What are popular job titles related to Entry Level Spotify Data Science jobs in Chicago, IL?

For Entry Level Spotify Data Science jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Entry Level Spotify Data Science jobs in Chicago, IL look for?

The top searched job categories for Entry Level Spotify Data Science jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Entry Level Spotify Data Science jobs?

Cities near Chicago, IL with the most Entry Level Spotify Data Science job openings:

[Active Hring] Entry-Level Data Scientist at KEYENCE CORPORATION Itasca, IL

CDL Labor Logistics

Itasca, IL • On-site

$66 - $103.28/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

Entry-Level Data Scientist at KEYENCE CORPORATION. Location: Itasca, IL.

Join KEYENCE as an Entry-Level Data Scientist. Location: Keyence U.S. Headquarters – Itasca, IL. Total Compensation (Base + Bonus): $103,283. As a Data Scientist, you’ll be part of the Data Science arm of the Data Analytics and Governance team, helping to drive innovation and efficiency across the business. You’ll develop automation solutions, optimize infrastructure, and build analytical models that inform strategy and uncover new opportunities.

  • Optimize and manage relational databases
  • Maintain and enhance AWS cloud infrastructure
  • Develop automation solutions for complex business challenges
  • Build and deploy analytical models using DataIku
  • Support additional projects and initiatives as assigned
Qualifications
  • Bachelor’s degree in Computer Science, Data Science, Informatics, Statistics, Math, or related field
  • 1–2 years of experience in data science or advanced analytics
  • Experience with AWS cloud infrastructure
  • Proficiency in SQL, Python or R
  • Experience with machine learning model development and optimization
  • Strong organizational skills and attention to detail
  • Self‑motivated with a proactive approach to learning
  • Familiarity with Linux troubleshooting, Scala, HTML, Java, Tableau, SSH, and VPCs is a plus
What We Offer
  • Base Salary: $66,650
  • Bonus Target: $36,633 annually (performance‑based), paid quarterly
  • Benefits: Medical, dental, vision, 401K match, ~4 weeks PTO in first full year
  • Career Growth: Promote‑from‑within culture with base and bonus increases
Why KEYENCE?
  • Recognized by Forbes as one of the World’s Most Innovative Companies
  • A global leader in factory automation and quality assurance solutions
  • Operating profit of over 40% for 25 consecutive years
  • A culture that invests in your success from day one

KEYENCE is an at‑will, Equal Opportunity Employer.

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