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Online Data Science Instructor Jobs in Chicago, IL

Tavern Research

Data Scientist I

Chicago, IL · On-site

$95K - $113K/yr

... online. That means taking on problems like tracing how narratives spread through social platforms ... As a member of the Data Science team, your role is to help make this work possible. You'll dive ...

Arrive Logistics

Data Scientist II

Chicago, IL · On-site

$138 - $172/hr

... Data Science, Product, and Engineering to build and improve ML and AI systems that drive ... Build measurement and evaluation frameworks -- both offline and online -- to assess where and why ...

PayPal, Inc.

Sr Data Scientist

Chicago, IL · On-site

We help merchants and consumers connect, transact, and complete payments, whether they are online ... Lead the development and implementation of advanced data science models. Extract, analyze, and ...

PayPal

Sr Data Scientist

Chicago, IL

We help merchants and consumers connect, transact, and complete payments, whether they are online ... Lead the development and implementation of advanced data science models. Extract, analyze, and ...

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

Online Data Science Instructor information

See Chicago, IL salary details

$13.9K

$60.5K

$103.5K

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

As of Aug 9, 2026, the average yearly pay for online 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 are the key skills and qualifications needed to thrive as an online data science instructor, and why are they important?

To thrive as an Online Data Science Instructor, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or a related field), along with prior teaching or mentoring experience. Familiarity with platforms such as Jupyter Notebook, Python, R, and online learning management systems (LMS) is typically required, as well as certifications like Data Science Professional Certificates. Excellent communication, patience, and the ability to motivate and engage remote learners are standout soft skills. These skills ensure that complex data concepts are taught effectively, fostering student understanding and success in a virtual environment.

What does an online data science instructor do?

An Online Data Science Instructor teaches students concepts and practical skills in data science using digital platforms. They create and deliver lessons on topics like statistics, programming, machine learning, and data analysis, often through live lectures, recorded videos, and interactive assignments. Instructors also provide feedback, answer questions, and support students as they progress through the course material. Their goal is to help learners acquire the knowledge and tools needed to analyze data and solve real-world problems.

What is a typical workday like for an online data science instructor, and how do they interact with students and colleagues?

A typical day for an Online Data Science Instructor involves preparing and delivering virtual lectures, creating and grading assignments, and providing feedback to students through various online platforms. Instructors often host live Q&A sessions, facilitate discussions in forums, and hold virtual office hours to support student learning. Collaboration with fellow instructors and curriculum developers is common, ensuring course materials remain current and effective. Balancing teaching responsibilities with student engagement and curriculum development is a key challenge, but it also offers opportunities for continuous learning and professional growth.
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:
What are popular job titles related to Online Data Science Instructor jobs in Chicago, IL? For Online Data Science Instructor jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Online Data Science Instructor jobs in Chicago, IL look for? The top searched job categories for Online Data Science Instructor jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Online Data Science Instructor jobs? Cities near Chicago, IL with the most Online Data Science Instructor job openings:
Online Data Science Instructor jobs near you
Infographic showing various Online Data Science Instructor job openings in Chicago, IL as of August 2026, with employment types broken down into 57% Full Time, 38% Part Time, and 5% Temporary. Highlights an 83% In-person, 10% Hybrid, and 7% Remote job distribution, with an average salary of $60,484 per year, or $29.1 per hour.

Data Scientist I

Tavern Research

Chicago, IL • On-site

$95K - $113K/yr

Full-time

Medical, Retirement, PTO

Re-posted 22 days ago

Job description

Data Scientist I
Location: Chicago, IL
Office: 3 days/week in South Loop office
Reports to: Chief Technology Officer (CTO)
About Tavern Research
Tavern Research is a political tech startup building tools and insights to help our customers win elections and make better, evidence-based decisions. We specialize in scaling expert human work, such as content generation and survey research to support thoughtful, data-driven civic engagement. We're a venture-backed, mission-driven, fast-moving, and mostly technical team focused on supporting campaigns and organizations working to strengthen democratic participation. We are experimental by design and expect every team member to continuously improve how they work using new tools and technology. Everything else is on our website. If you still have questions, let us know when you apply!
About You
You're endlessly curious, adaptable, and detail-obsessed in the best way. You love rolling up your sleeves to wrestle messy data into shape, making it clean, usable, and ready to reveal its secrets. You're excited to learn from seasoned teammates but are also comfortable working independently on well-defined problems from day one.
You thrive in a collaborative, friendly, and nerdy environment where people genuinely love what they do. You chase the thrill of deep focus, appreciate your teammates' brainpower, and hunger for the rush of solving problems no one else has dared to tackle. These are the kinds of challenges that stay with you-in the shower, as you fall asleep, tugging at your brain in the best possible way.
You're interested in politics, and the ways in which public opinion is created and shaped. You understand the power of narratives to shape the world around us, and want to play a part in the high-stakes, real-world battle over hearts and minds.
Most importantly, you bring humility, patience, and a commitment to detail. You bring focus and efficiency to your work, knowing when to go deep and when to ship 'good enough.' You see this role as a chance to sharpen your craft, learn fast, and make a real contribution to high-stakes, real-world problems.
About the role
At Tavern Research, we're building models to understand and influence how people form opinions online. That means taking on problems like tracing how narratives spread through social platforms, or analyzing how different messages land with different audiences. The data is messy, the questions are ambiguous, and the stakes are high.
As a member of the Data Science team, your role is to help make this work possible. You'll dive into raw, noisy datasets to clean, structure, and prepare them for analysis. You'll run exploratory analyses to surface patterns, build features, and support experiments. You'll contribute to modeling tasks end-to-end, helping turn difficult, open-ended questions into tangible, testable results. While you'll collaborate closely with senior modelers, we expect new hires to ramp quickly and take ownership of clearly scoped modeling and data tasks.
From day one, you'll be hands-on with real-world data and problems that matter. You'll have support from senior team members, but you'll also be expected to bring rigor, patience, and persistence to your work. Over time, as your skills deepen, you'll have opportunities to take ownership of increasingly complex modeling projects, building toward the point where you can design and lead experiments yourself.
We value in-person collaboration and expect employees to work regularly from our Chicago office.
Responsibilities
  • Work hands-on with real-world, unstructured data: cleaning, debugging, and engineering features that support effective models.
  • Support the design and execution of numerical experiments by handling data prep, fitting models, and running standard analyses.
  • Contribute to feature engineering and model building, taking ownership of clearly defined components of modeling projects.
  • Write clean, well-documented Python code using standard data science libraries.
  • Assist with model evaluation, diagnostics, and performance monitoring.
  • Collaborate with researchers and engineers to scope and execute tightly defined tasks.
  • Learn and apply best practices and emerging tools in machine learning, AI, and causal inference.

Qualifications
We know it's rare to check every box. If you meet most of these, we encourage you to apply:
  • This role is designed for early-career candidates with 0-3 years of experience or equivalent hands-on project work who are eager to grow into more advanced modeling responsibilities.
  • Strong academic or applied background in data science and software engineering or closely related fields.
  • Experience building statistical models (beyond differential equations or simulations).
  • Demonstrated experience working with messy, real-world datasets.
  • Proficiency in Python and standard data science libraries.
  • Familiarity with AI and machine learning concepts like embeddings, supervised and unsupervised ML methods, and agentic systems
  • Clear understanding of the data science concepts behind work you've done (not just "I ran the code").
  • Strong communication skills and a collaborative mindset
  • Humility, patience, and attention to detail.
  • We especially value candidates who have independently built data or modeling projects outside of coursework, including internships, research, or production data work.
  • Bonus: exposure to model deployment, large language models, or causal inference.

To be explicit: you don't need a degree to work here. You just need to be exceptional at what we're asking from you.
Benefits
  • Premium health insurance
  • Unlimited PTO
  • Office closed for all federal holidays
  • 401k match
  • Equity

Tavern Research is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
The pay range for this role is:
95,500 - 113,500 USD per year (Chicago, IL)

Apply