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Summer Data Science Instructor Jobs in Chicago, IL

Benchmark Analytics

Data Analyst Lead

Chicago, IL · On-site

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Summer Half-Day Fridays. * Freed Up Fridays during Spring, Fall, and Winter months to promote ...

Benchmark Solutions LLC

Data Analyst Lead

Chicago, IL · Remote

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Summer Half-Day Fridays. * Freed Up Fridays during Spring, Fall, and Winter months to promote ...

Benchmark Analytics

Data Analyst Lead

Chicago, IL · On-site

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Summer Half-Day Fridays. * Freed Up Fridays during Spring, Fall, and Winter months to promote ...

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All JobsSummer Data Science Instructor JobsSummer Data Science Instructor Jobs in Chicago, IL

Summer Data Science Instructor information

See Chicago, IL salary details

$13.9K

$60.5K

$103.5K

How much do summer data science instructor jobs pay per year?

As of Jul 14, 2026, the average yearly pay for summer data science instructor in Chicago, IL is $60,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $69,000.00 per year, depending on experience, location, and employer.

What is the difference between Summer Data Science Instructor vs Data Science Tutor?

AspectSummer Data Science InstructorData Science Tutor
CredentialsTypically requires a degree in data science, computer science, or related field; teaching experience is a plusOften requires a strong background in data science; certifications or degrees enhance credibility
Work EnvironmentUsually works in summer camps, workshops, or academic programs with group settingsProvides one-on-one or small group tutoring sessions, often remotely or in-person
Employer & Industry UsageEmployed by educational institutions, summer programs, or training companiesHired by tutoring platforms, private clients, or educational centers

In summary, a Summer Data Science Instructor typically teaches in group settings during summer programs, requiring formal teaching experience and credentials. In contrast, a Data Science Tutor offers personalized instruction, often on a flexible schedule, focusing on individual student needs. Both roles require strong data science knowledge but differ mainly in environment and scope of teaching.

What are some common challenges faced by Summer Data Science Instructors, and how can they be addressed?

Summer Data Science Instructors often encounter the challenge of teaching students with varying levels of prior experience in programming and statistics. To address this, instructors can differentiate their instruction, offering supplemental materials or exercises for beginners while providing advanced projects for more experienced students. Another challenge is keeping students engaged during intensive summer sessions; utilizing interactive activities, real-world datasets, and collaborative projects helps maintain enthusiasm. Instructors also benefit from regular check-ins to gauge student understanding and adjust the pace as needed.

What are Summer Data Science Instructors?

Summer Data Science Instructors are educators who teach data science concepts, tools, and programming skills to students during summer programs or camps. They design and deliver lessons on topics such as data analysis, statistics, machine learning, and data visualization, often using languages like Python or R. These instructors may work with middle school, high school, or college students, helping them build foundational knowledge and hands-on experience in data science. They also mentor students on projects, foster interest in STEM fields, and encourage collaborative problem-solving. Typically, Summer Data Science Instructors have expertise in data science and experience in teaching or mentoring.

What are the key skills and qualifications needed to thrive as a Summer Data Science Instructor, and why are they important?

To thrive as a Summer Data Science Instructor, you need a solid background in data science concepts, programming (often Python or R), and a relevant degree or demonstrated expertise in the field. Familiarity with data analysis tools like Jupyter Notebook, pandas, and visualization libraries, as well as teaching or instructional certifications, are typically valuable. Strong communication, patience, and the ability to engage and motivate students are standout soft skills in this role. These skills ensure effective knowledge transfer, student engagement, and a successful learning experience during intensive summer programs.
What are the most commonly searched types of Data Science Instructor jobs in Chicago, IL? The most popular types of Data Science Instructor jobs in Chicago, IL are:
Summer Data Science Instructor jobs near you
Infographic showing various Summer Data Science Instructor job openings in Chicago, IL as of July 2026, with employment types broken down into 100% Temporary. Highlights an 100% In-person job distribution, with an average salary of $60,484 per year, or $29.1 per hour.
Data Scientist - Portfolio (Hybrid)

Data Scientist - Portfolio (Hybrid)

Enova International

Chicago, IL • On-site, Remote

$87K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Enova International rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.
About the role:
We are seeking a talented Data Scientist to join our Credit Risk Modeling team. In this role, you will develop, enhance and test our models for use in new customer acquisition and managing our existing customer portfolio. Our team focuses on ways to drive growth while balancing risk. You will independently dive into open-ended problems in order to present recommendations to executives and actively manage the credit models and offer generation that power Enova's business. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements, and support implementation.
Our models power our lending decisions, providing critical risk insight to enable competitive and profitable loan offers. Your role will be essential in improving and managing this fundamental area of our business.
Key responsibilities:
  • Develop and refine proprietary models to assess customer credit profile
  • Collaborate closely with the Strategy and Operations team to drive new initiatives
  • Design and implement A/B testing frameworks to evaluate the performance of our models and product configurations, analyzing outcomes to drive continuous improvement
  • Communicate insights and recommendations to senior management, providing a data-driven perspective on customer risk and product development strategies

Requirements:
  • Degree in Statistics, Mathematics, Economics, Computer Science, or a related field
  • 3+ years of experience in Data Science, Analytics or related field
  • Advanced programming skills and the ability to write customized programs for meaningful data analysis and predictive modeling (Python)
  • Experience working with relational databases, such as SQL
  • Excellent knowledge in applied statistical methods and machine learning models
  • Ability to improve your work flow and delivery timelines with AI tools.
  • Strong problem-solving skills and the ability to work independently in a fast-paced, dynamic environment
  • Experience in financial services, fintech, or a related industry preferred

Compensation:
The budgeted annual salary range for this position is$87,000 to $110,000 Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.
Benefits & Perks:
  • Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results.
  • Health, dental, and vision insurance including mental health benefits
  • 401(k) matching plus a roth option (U.S. Based employees only)
  • PTO & paid holidays off
  • Sabbatical program (for eligible roles)
  • Summer hours (for eligible roles)
  • Paid parental leave
  • DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)
  • Employee recognition and rewards program
  • Charitable matching and a paid volunteer day...Plus so much more!

About Enova
Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks-in order to create accessible credit for millions.
Being a values-driven organization is at the core of Enova's success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova's values and culture here.
It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

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