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Data Science Instructor Remote Jobs in Chicago, IL

Grainger Businesses

Senior Data Scientist

Chicago, IL · On-site +1

$103K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and the ranges for remote candidates are $95,900 - $159,800 . This role is eligible for an ... Bachelor's Degree BS in technical field such as Statistics, Mathematics, Data Science, Applied ...

Benchmark Solutions LLC

Data Analyst Lead

Chicago, IL · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Stryker

Senior Lead Data Engineer (Remote)

Chicago, IL · On-site +1

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the ... Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems ...

NinjaHoldings

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Experience with continuous integration, especially in a data science context * Experience with Ruby on Rails Benefits: * Competitive salary and benefits package * Flexible, remote work * Fun, fast ...

Strike Social

Senior Data Scientist

Chicago, IL · Remote

Bachelor's degree or higher - Quantitative field such as Computing Science, Statistics, Mathematics ... Working hours are flexible and remote work is encouraged. We are an equal opportunity employer and ...

TEKsystems

Senior Data Scientist

Chicago, IL · Remote

$100 - $115/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

THIS IS 100% REMOTE AND LONG TERM. Top Skills Details Python,SQL,AWS,Research Modeling,NLP,feature ... Research-minded data scientist, not just a model user - Evidence of owning and designing ML ...

NinjaHoldings

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

With offices in Chicago, Miami, and around the world through the power of remote work, we are a ... Use advanced data analytics to understand consumer risk behavior trends, their impact on the ...

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Showing results 21-40

All JobsData Science Instructor JobsData Science Instructor Remote JobsData Science Instructor Remote Jobs in Chicago, IL

Data Science Instructor Remote information

See Chicago, IL salary details

$13.9K

$60.5K

$103.5K

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

As of Aug 12, 2026, the average yearly pay for data science instructor remote 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 Data Science Instructor Remote vs Data Analyst Remote?

AspectData Science Instructor RemoteData Analyst Remote
Required CredentialsTypically a degree in Data Science, Computer Science, or related field; teaching experienceDegree in Statistics, Mathematics, or related field; analytical skills
Work EnvironmentOnline teaching platforms, educational institutionsRemote data analysis projects, companies, or consulting
Employer & Industry UsageEducational institutions, online course providersBusinesses, finance, healthcare, marketing
Common Search & ComparisonOften compared for teaching roles in data scienceCompared for data analysis roles

While both roles involve working with data, a Data Science Instructor Remote focuses on teaching and curriculum development in data science, whereas a Data Analyst Remote concentrates on analyzing data to inform business decisions. The credentials overlap but differ mainly in job focus and work environment.

What are some common challenges faced by remote data science instructors, and how can they be addressed?

Remote Data Science Instructors often face challenges related to student engagement and communication, as virtual environments can make it harder to gauge comprehension and foster interaction. To address this, instructors can leverage interactive teaching tools, encourage active participation through breakout sessions and live coding, and provide regular, personalized feedback. Additionally, establishing clear communication channels and setting expectations for responsiveness can help bridge the physical distance and create a supportive online learning community.

What does a data science instructor remote do?

A Data Science Instructor Remote teaches students foundational and advanced concepts in data science through online platforms. They develop lesson plans, deliver lectures or workshops, guide students through hands-on projects, and provide feedback on assignments. Instructors also stay current with industry trends to ensure their teaching materials remain relevant. They may interact with students via video calls, forums, and virtual office hours, supporting learners from diverse backgrounds and locations.

What are the key skills and qualifications needed to thrive as a data science instructor remote, and why are they important?

To thrive as a Data Science Instructor (Remote), you need a strong background in data science concepts, programming (Python or R), and a relevant degree or industry experience. Familiarity with data analysis tools like Jupyter Notebook, version control systems like Git, and learning management systems (LMS) is typically required. Outstanding communication, patience, and an ability to explain complex topics clearly help set exceptional instructors apart. These skills ensure students effectively learn analytical techniques and prepare for real-world data science roles in a remote environment.
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 Data Science Instructor Remote jobs in Chicago, IL? For Data Science Instructor Remote jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Science Instructor Remote jobs in Chicago, IL look for? The top searched job categories for Data Science Instructor Remote jobs in Chicago, IL are:
Data Science Instructor Remote jobs near you
Infographic showing various Data Science Instructor Remote job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $60,484 per year, or $29.1 per hour.

Senior Data Scientist

Grainger Businesses

Chicago, IL • On-site, Remote

$103K - $172K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Grainger rating

8.3

Company rating: 8.3 out of 10

Based on 181 frontline employees who took The Breakroom Quiz

25th of 361 rated logistics

Job description

Work Location Type: Hybrid
Req Number 333562
About Grainger
W.W. Grainger, Inc. is a leading broad line distributor with operations primarily in North America and Japan. At Grainger, We Keep the World Working® by serving more than 4.6 million customers worldwide with maintenance, repair and operating (MRO) products and value-added solutions delivered through innovative technology and deep customer expertise. Known for its commitment to service and purpose-driven culture, the Company reported 2025 revenue of $17.9 billion. For more information, visit www.grainger.com.
Compensation
The anticipated base pay compensation range for this position is $103,600.00 - $172,600.00 for Chicago location and the ranges for remote candidates are $95,900 - $159,800 . This role is eligible for an incentive target of up to 10 % or $ , based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change.
Rewards and Benefits
With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:
  • Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
  • 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
  • 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
  • Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
  • Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.

For additional information and details regarding Grainger's benefits, please click on the link below:
https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire
Grainger Benefits
The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills.
The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above.
Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law.
Position Details
We are looking for a Data Scientist to join our Digital Experience Analytics team who is passionate about using data and advanced quantitative methods to provide tangible, long-term monetary benefits to our organization. We're looking for people who never stop learning. Having a desire to learn new skills and seek out new information about our business, our customers, and our work is important to maintain our success for the next 90 years. The Sr. Data Scientist will support the Digital organization by: 1) supporting digital experimentation 2) Developing and deploying statistical and machine learning models that improve the effectiveness of our digital operations 3) Measuring and identifying the drivers of digital performance
You will
  • Build tools to automate and standardize experiments on Grainger's e-commerce platform
  • Become and serve as a subject-matter expert for one of Grainger's digital products (e.g. search, recommendations, checkout, etc.)
  • Analyze data sets, build predictive models, deploy and operationalize solutions to enhance organizational performance.
  • Apply techniques such as classification, clustering, dimension reduction, regression, NLP, time series forecasting, and boosting to build explanatory, predictive, and prescriptive pricing models appropriate for solving different business problems.
  • Conduct exploratory data analysis and apply deep business knowledge to customers and marketplace data to uncover new insights.
  • Create and present the materials necessary to communicate the results of analytical work and associated recommendations and influence the use of analytical recommendations.
  • Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection.
  • Create the code to support large-scale data analyses, model development, model validation and deployment.
  • Assist junior team members in developing new skills and knowledge.

You Have
  • Bachelor's Degree BS in technical field such as Statistics, Mathematics, Data Science, Applied Analytics, Operations Research, Applied Science or Engineering required -or- Bachelor in a Social Science with exposure to quantitative methods such as Economics, Political Science, Psychology or Sociology.
  • Master's or Ph.D. in a Quantitative field such as Statistics, Mathematics, Data Science, Applied Analytics or in a Social Science with a quantitative focus such as Economics, Political Science, Psychology or Sociology.
  • 3+ years' experience in analytics and data science roles required
  • Exposure to the statistical design of experiments and statistical hypothesis testing
  • Proficient in usage of databases (e.g. Teradata, Snowflake, Oracle) and querying languages (e.g. SQL)
  • Knowledge of one or more of the following programming languages: Python, R.
  • Proficiency with extraction and manipulation of very large structured and unstructured datasets
  • Proficiency with data visualization techniques
  • Proficiency with multi-variate linear regression, logistic regression, and time series modeling
  • Knowledge of classification, gradient-boosting, and natural language processing algorithms
  • Experience leveraging cloud-based machine learning resources such as those from AWS
  • Demonstrated ability to translate analytical work into presentations (e.g. PowerPoint) suitable for non-technical audiences
  • Demonstrated ability to collaborate with business partners and colleagues

Preferred
  • Familiarity with basic statistical concepts related to experimentation and causal inference such as randomization
  • Experience with Python or R-based dashboarding tools such as Streamlit, Dash or Shiny
  • The ability to collaborate with non-technical stakeholders and communicate complex technical topics to a non-technical audience.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace.
We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.

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About Grainger

Sourced by ZipRecruiter

Grainger is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. We achieve our purpose, We Keep the World Working®, by serving more than 4.5 million customers with a wide range of products that keep their operations running and their people safe. Grainger also delivers services and solutions, such as technical support and inventory management, to save customers time and money. We're looking for passionate people who can move our company forward. As one of the 100 Best Companies to Work For, we have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone is an individual. Find your way with Grainger today.

Industry

Office administration and facilities support services

Company size

10,000+ Employees

Headquarters location

Lake Forest, IL, US

Year founded

1927

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