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Remote Data Science Jobs in Northbrook, IL (NOW HIRING)

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Title: Data Engineer Location: Chicago, Ill Openings: 1 Type: Permanent hire The Client is ... Sc. in Computer Science, Engineering, or related field.

Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or ... more years predictive modeling experience in another industry. Education, Certifications ...

Computational skills using Python and/or R, including experience with data science and biological ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Data Analytics Specialist

Chicago, IL · On-site +1

$130K - $150K/yr

About The Role The Product Data Science team is G2's centralized analytics and data science function, embedded within the Product org to support Product Leadership and the teams building our buyer ...

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 ...

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 ...

Analyzes data to support signal assessment and contributes to ad hoc regulatory safety requests ... MPH, PharmD, PhD, or Masters in a Health Science) * Knowledge of the drug development process which ...

This Internship will be Remote, Onsite or Hybrid in Niles, IL. * Conducting research and developing ... Statistics, Physics, Data Science, Machine Learning, or a related quantitative field.

New

Responsibilities may include remote data analysis, desktop engineering review, savings calculations ... Building Science, or a related technical field. * At least 2 years of relevant experience in ...

Showing results 41-60

Remote Data Science information

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.

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

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

What are popular job titles related to Remote Data Science jobs in Northbrook, IL?

For Remote Data Science jobs in Northbrook, IL, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in Northbrook, IL look for?

The top searched job categories for Remote Data Science jobs in Northbrook, IL are:

What cities near Northbrook, IL are hiring for Remote Data Science jobs?

Cities near Northbrook, IL with the most Remote Data Science job openings:

Infographic showing various Remote Data Science job openings in Northbrook, IL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Engineer

DevSelect

Chicago, IL • On-site, Remote

$118K - $141K/yr

Full-time

Re-posted 3 days ago


Job description

Title: Data Engineer
Location: Chicago, Ill
Openings: 1
Type: Permanent hire

The Client is searching for an experienced data engineer. This person will be responsible for building and managing an array of data acquisition services. The Ideal candidate will demonstrate experience with software development lifecycles, working with cloud architecture, and development within a software team.
Responsibilities include data mining, web scraping, cleaning and organizing the data into both SQL and NoSQL databases. Further responsibilities will include building efficient APIs to communicate the data and managing continual data ingestion.
Required Job Qualifications:
•At least 4 years experience with python development and database management in a Linux environment
•Expertise in relational database architecture and efficient SQL. Experience with managing databases in Azure is a plus as well as Neo4j graph databases.
•Development of RESTful APIs
•Distributed computing (Spark or similar)
•Ability to provide guidance on data security issues
•Writing and maintaining clear and reproducible documentation for all services and projects will be required.
•Strong general communication and interpersonal skill
•Capable of providing guidance to junior developers
Preferred Job Qualifications:
•Experience in machine learning and general data science
•Data visualization
•Understanding of the healthcare industry
•Azure, Google, AWS or other cloud-platform experience
•SDLC Tools & Processes: JIRA, Docker, Git-flow, Puppet, or similar
Education Requirements:
•B.Sc. in Computer Science, Engineering, or related field.