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Data Science Instructor Remote Jobs in Chicago, IL

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 ...

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 ...

Tiger Analytics Inc.

DS/AI Tech Leader

Chicago, IL · Remote

... remote global workforce. We are seeking a dynamic and experienced DS/AI Tech Partner (a Data Science Growth Leader) to join our team. This role will co-own business development and growth initiatives ...

Tiger Analytics Inc.

DS/AI Tech Leader

Chicago, IL · On-site +1

... remote global workforce. We are seeking a dynamic and experienced DS/AI Tech Partner (a Data Science Growth Leader) to join our team. This role will co-own business development and growth initiatives ...

IQVIA

Senior Data Team Lead (Remote)

Chicago, IL · Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

IQVIA

Senior Data Team Lead (Remote)

Chicago, IL · Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

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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 Jul 21, 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 July 2026, with employment types broken down into 5% Internship, 47% Full Time, 43% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $60,484 per year, or $29.1 per hour.
Senior Trainer - Data Engineering (Advanced + AI Integration)

Senior Trainer - Data Engineering (Advanced + AI Integration)

Revature

Chicago, IL • On-site, Remote

$118K - $141K/yr

Full-time

Re-posted 5 days ago

Job description

Revature is rapidly growing - both domestically and internationally - and our Team plays a key role in our Corporate Department.
We're looking for an agile and ambitious candidate who is effective in the qualities listed below, all within a rapidly growing environment.
Our ideal candidate is based near one of our central offices located in this job posting.
Job Description:
Experience Required: Minimum 4- 5 years of professional experience in Data Engineering, Big Data, or related domains.
Position Summary:
We are looking for a Senior Trainer - Data Engineering with strong expertise in modern data platforms and AI-driven data systems. The ideal candidate will be an experienced data engineer capable of delivering advanced training on end-to-end data engineering workflows - from data ingestion and transformation to preparing high-quality datasets for AI and machine learning applications.
This role is central to training the next generation of Data Engineers and AI-ready professionals, leveraging cutting-edge tools such as Databricks, Apache Spark, Kafka, Airflow, Delta Lake, and Snowflake.
Key Responsibilities
  • Deliver in-depth, interactive, and hands-on sessions on advanced data engineering and AI integration.
  • Train and mentor learners on:
    • Distributed processing using Apache Spark and Databricks.
    • Data orchestration with Airflow and CI/CD pipelines for data workflows
    • Real-time streaming using Kafka and Kinesis
    • Lakehouse architectures using Delta Lake, Snowflake, and cloud-native solutions
    • Data preparation for AI/ML pipelines, including feature engineering and dataset versioning
    • Working with MLflow, Databricks AutoML, and AI/ML integrations on cloud platforms
    • Implementing data governance, lineage, and monitoring best practices
  • Guide learners through AI-ready data engineering projects, combining data pipelines with model development and deployment.
  • Collaborate with curriculum designers to integrate emerging AI and data science tools (e.g., Vector Databases, MLOps frameworks) into the training modules.
  • Conduct performance evaluations, code reviews, and one-on-one learner mentoring sessions.
  • Stay current with AI trends, modern data infrastructure, and cloud-native innovations to continuously enrich the training experience.

Required Skills & Qualifications
  • Experience: 5+ years in Data Engineering, Big Data, or AI/ML Infrastructure Development.
  • Technical Expertise:
    • Strong programming skills in Python (pandas & numpy) and SQL.
    • Hands-on experience with Databricks, Apache Spark, and PySpark.
    • Deep understanding of data lakes, Delta Lake, and lakehouse architecture.
    • Proficiency with streaming frameworks such as Kafka or Kinesis.
    • Experience with Airflow or other orchestration tools.
    • Familiarity with MLflow, TensorFlow, or PyTorch for data-to-AI workflows.
    • Cloud expertise in AWS (Glue, Redshift, Sagemaker), Azure (Data Factory, Synapse, ML Studio), or GCP (Dataflow, Vertex AI, BigQuery).

  • Education: Bachelor's or Master's in Computer Science, Data Science, or related technical discipline.
  • Excellent communication, presentation, and mentoring skills.
  • Prior experience as a corporate trainer, instructor, or mentor in a data/AI-focused program is preferred.
  • Ready to deliver on-site and virtual training.

Preferred Skills/Attributes
  • Certifications such as:
    • Databricks Certified Data Engineer or Machine Learning Professional
    • AWS Certified Machine Learning - Specialty
    • Google Professional Data Engineer / ML Engineer
  • Familiarity with AI model lifecycle management, feature stores, and MLOps best practices.
  • Demonstrated ability to bridge data engineering and AI/ML domains.
  • Passion for teaching, mentoring, and simplifying complex, end-to-end data and AI systems.

Who We Are
Revature is a tech career launch pad and the largest employer of entry-level technology talent in the U.S. The company works with Fortune 500 companies, government organizations, and top systems integrators to grow their business by hiring, training, and deploying top tech talent.
Our mission is to create a pathway for candidates from diverse experiences and educational backgrounds to reach their potential as technology professionals. Alumni of the Revature program work on innovative, challenging, and rewarding software development projects across the United States.
Revature has trained over 7000 software engineers across 54 technical disciplines, recruited talent from 700 universities, and deployed them to blue-chip companies throughout the U.S. We have proudly committed to training 1 million developers over the next decade, helping to close the opportunity gap in tech and supporting the future of work.
Revature is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, genetic information, age, marital status, protected veteran status, or disability status.

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