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Data Science Entry Level Remote Jobs in Chicago, IL

Data Scientist

Chicago, IL ยท On-site +1

$90.16K - $135.24K/yr

... science team responsible for designing and delivering powerful analytical insights utilizing ... This role can have a Hybrid or Remote work arrangement depending on experience and skillset.

Hybrid/Remote Duration: Summer 2026 Position Overview We are seeking a motivated and detail-oriented Data Scientist Intern to support the design and development of our enterprise data warehouse and ...

New

Data Scientist II, Outcomes Research

Chicago, IL ยท On-site +1

$100K - $150K/yr

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

The position is remote, but you need to live locally to come onsite periodically for meetings. Required Skills & Qualifications: * Bachelor's degree in Data Science, Statistics, Mathematics, Computer ...

Data Engineer (remote)

Naperville, IL ยท Remote

$114.40K - $137.40K/yr

Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs, advise on transformation processes to populate data models, and explore ...

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Data Science Entry Level Remote information

What are the key skills and qualifications needed to thrive as an entry-level remote Data Scientist, and why are they important?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What are some typical challenges entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

What are data science entry level remote jobs?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.

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

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What are the most commonly searched types of Data Science Remote jobs in Chicago, IL? The most popular types of Data Science Remote jobs in Chicago, IL are:
What are popular job titles related to Data Science Entry Level Remote jobs in Chicago, IL? For Data Science Entry Level Remote jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Science Entry Level Remote jobs in Chicago, IL look for? The top searched job categories for Data Science Entry Level Remote jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Data Science Entry Level Remote jobs? Cities near Chicago, IL with the most Data Science Entry Level Remote job openings:
Infographic showing various Data Science Entry Level Remote job openings in Chicago, IL as of May 2026, with employment types broken down into 78% Full Time, 14% Part Time, 3% Temporary, and 5% Contract. Highlights an 100% Remote job distribution.

Data Entry Assistant - Entry Level (Remote)

Link-Up Overseas

Chicago, IL โ€ข Remote

$17.25 - $23/hr

Full-time

Posted 25 days ago


Job description

Data Entry Assistant - Entry Level (Remote) About the job Data Entry Assistant - Entry Level (Remote) Join Our Dynamic Team as a Remote Data Entry Assistant! Are you a detail-oriented and highly organized individual looking for an exciting entry-level opportunity? Look no further!

We are seeking a talented Data Entry Assistant to join our remote team and contribute to our growing success. As a Data Entry Assistant, you will play a crucial role in ensuring the accuracy and integrity of our data, allowing us to make informed decisions and provide exceptional service to our clients. This position is perfect for someone who thrives in a fast-paced, collaborative environment and enjoys working with data.

Join us on this remarkable journey! Responsibilities: Perform data entry tasks accurately and efficiently, ensuring the highest level of data integrity. Verify and validate data to ensure compliance with established standards and guidelines.

Enter data into databases, spreadsheets, and other digital tools with precision and attention to detail. Maintain and update existing databases, ensuring that information is up to date and accurate. Generate reports and prepare data for analysis, presenting it in a clear and organized manner.

Collaborate with team members to identify process improvements and implement best practices. Adhere to strict deadlines and deliver high-quality work consistently. Qualifications: Proven experience in data entry or a related field is a plus, but not required.

Proficient computer skills, including a strong command of Microsoft Office Suite (Word, Excel, PowerPoint). Excellent attention to detail and accuracy in data entry tasks. Strong organizational skills with the ability to prioritize tasks effectively.

Ability to work independently and as part of a team in a remote environment. Strong verbal and written communication skills. Familiarity with data management systems and software is a plus.

Remote work: Enjoy the flexibility and convenience of working from the comfort of your own home. Professional growth: Expand your skill set and gain valuable experience in the field of data entry. Collaborative environment: Join a supportive and dynamic team that values open communication and teamwork.

Competitive compensation: Receive a competitive salary based on your skills and experience. Work-life balance: Maintain a healthy work-life balance with flexible working hours. Learning opportunities: Access resources, training materials, and workshops to enhance your professional development.

Career advancement: Take advantage of internal growth opportunities and carve out a rewarding career path. If you are ready to embark on a rewarding career in data entry and make a meaningful impact, we want to hear from you! Join our team and help us drive success through accurate and reliable data management.

Apply today with your updated resume and a cover letter outlining your interest in the position. We look forward to reviewing your application! We are an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. #J-18808-Ljbffr