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Entry Level Data Scientist Remote Jobs (NOW HIRING)

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Position Overview We're looking for an experienced Data Scientist to join our team at Knexus. This is a fully remote position for candidates in the continental U.S., with work hours aligned to the ...

The Data Scientist will report to the Director, Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the ...

The Data Scientist will report to the Director, Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the ...

Data Scientist - Remote

Omaha, NE · Remote

$110K - $130K/yr

Data Scientist - Remote Apply now Job no: 505197 Work type: Full Time Regular Location: Remote Categories: Information Technology Were looking to add another Data Scientist to our team! This role ...

Data Scientist - Remote

Omaha, NE · Remote

$110K - $130K/yr

Data Scientist - Remote Apply now Job no: 505182 Work type: Full Time Regular Location: Remote Categories: Information Technology Data Scientist - AI Systems This role focuses on designing, building ...

General information Job Posting Title Senior Data Scientist (Remote) Date Friday, July 17, 2026 City Remote Country United States Working time Full-time Description & Requirements This position is ...

Remote Entry-Level Data Entry Clerk

$17.50 - $23.25/hr

Remote Entry-Level Data Entry Clerk Sacramento, California, United States Or refer someone Job Openings Remote Entry-Level Data Entry Clerk About the Job Remote Entry-Level Data Entry Clerk Job ...

Entry level / Data Entry Clerk (Remote)

$17.50 - $23.25/hr

About the job Entry level / Data Entry Clerk (Remote) We are seeking an entry-level Data Entry Clerk to join our dynamic and growing team. In this role, you will be responsible for entering data into ...

Entry level / Data Entry Clerk (Remote)

$17.50 - $23.25/hr

Entry Level / Data Entry Clerk (Remote) We are seeking an entry-level Data Entry Clerk to join our dynamic and growing team. In this role, you will be responsible for entering data into our system ...

Remote Data Entry Assistant - Junior

$17.25 - $22.75/hr

Remote Entry Level Data Entry Assistant** Are you a detail-oriented individual with a passion for accuracy and organization? Are you looking to kickstart your career in a dynamic and remote work ...

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Entry Level Data Scientist Remote information

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$165K

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How much do entry level data scientist remote jobs pay per year?

As of Sep 8, 2026, the average yearly pay for entry level data scientist remote in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is an entry level data scientist remote?

An Entry Level Data Scientist (Remote) is a professional who analyzes and interprets complex digital data to help companies make informed decisions, typically working from a location outside of the company's physical office. They use statistical techniques, machine learning, and data visualization tools to uncover insights from large datasets. Entry level positions are designed for individuals with limited professional experience, often recent graduates or those transitioning into the field. Remote roles offer flexibility, enabling employees to work from home or any other location with internet access.

What are the key skills and qualifications needed to thrive as an entry level data scientist remote?

To thrive as an Entry Level Data Scientist (Remote), you need a solid foundation in statistics, programming (especially Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (such as scikit-learn or TensorFlow), as well as experience with data visualization platforms, is often expected. Strong problem-solving skills, self-motivation, and clear communication are crucial for collaborating across teams and working independently in a remote environment. These skills and qualities ensure you can effectively extract insights from data and contribute meaningfully to business decisions, even without direct in-person supervision.

What are some common 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, difficulties in understanding team expectations, and staying motivated without in-person supervision. To overcome these, it's helpful to proactively communicate with teammates and supervisors, seek regular feedback, and participate in virtual team meetings or collaborative coding sessions. Leveraging online communities and internal chat channels can also help build connections and access guidance when needed, ensuring continued learning and integration into the team.

Can I get an entry level data scientist remote job with no experience?

Entry level remote data scientist positions typically require some foundational knowledge in programming, statistics, and data analysis tools like Python or R. While prior experience is often preferred, candidates with relevant coursework, certifications, or strong analytical skills can sometimes qualify for entry-level roles without professional experience.
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Infographic showing various Entry Level Data Scientist Remote job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist (Remote)

Zenlaw

New York, NY • On-site, Remote

Contractor

Re-posted yesterday


Job description

About us
We're on a mission to bring contracts and any other long documents to the 21st century!
We're using AI to make these documents intelligible, abstracting what matters in them and detailing their content so that humans can manipulate them easily.
We've been working on this since the beginning of 2021, and have applications in Real Estate, Finance, Insurance, and other industries. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as possible.
Position Description
At Zenlaw, we rely on data to guide our initiatives. This data helps to mold both our long-term strategy and our day-to-day operations. As a Data Scientist, you will be working with our engineering team to model complex problems and identify high-impact opportunities. You will be part of a high-energy, fast-paced team responsible for supporting initiatives and working on our ground-breaking AI models.
Our full-stack Data Science Team uses Python for research and development. Our wide range of experience includes NLP, SpaCy, Transformers, and PyTorch recommendation systems, supervised and unsupervised problems. As part of the team, you are free to use the approach you see fit while relying on your colleague's previous experience and expertise.
As a Data Scientist, you will:
  • Research new techniques and frameworks for NLP tasks
  • Design new experiments for data abstraction and categorization of sentences/paragraphs
  • Work with our lawyers to review initial results and implement pre and post-processing scripts to improve the accuracy of models
  • Run data analysis on our dataset to design potential rules for annotation.
  • Improve the architecture of data modeling and data tooling in partnership with Engineering and cross-functional business partners
  • Own your projects and use this autonomy to find creative and innovative ways of solving problems and delivering solutions.
We are looking for a passionate Data Scientist with:
  • Bachelor in Statistics, Mathematics, Computer Science, or related field; graduate degree in Data Science, Statistics, Applied Mathematics, or another quantitative field
  • 2+ years of industry work experience as an analyst, data scientist, or equivalent
  • Experience with training and deploying NLP deep learning models
  • Exceptional skills in Python, SQL, and any other programming language for data analysis and visualization.
  • Excellent written and oral English communication skills with experience evangelizing the value of leveraging data in making both strategic and product decisions
  • Experience with reporting systems and data pipeline architecture.
  • Demonstrated problem-solving experience with the ability to break down complex and unstructured problems into layman's terms
  • An online sample of your analytical and/or data visualization abilities is greatly appreciated.
    Nice to have:
    • Experience with Golang, and/or Git
    • Experience with SpaCy, Transformers, PyTorch, or similar NLP framework
    • Experience working with ontologies and knowledge graphs
    • Experience in MLOps
    • Master's Degree in Data Science, Statistics, Applied Mathematics, or another quantitative field
You care about:
  • Ownership: you easily communicate ideas, implement them, and take responsibility for your actions
  • Helping others: sharing knowledge with your colleagues is on top of your priorities
  • Fast-paced startups: you love adapting to different situations, and you know how and when to iterate fast and with high quality
  • Our product: you believe in our vision, and are willing to give your best to build the future of Zenlaw
What we offer you:
  • Entrepreneurial responsibility and flat-hierarchies
  • Ownership of your work
  • Position 100% remote
  • Open-minded variety of nationalities
  • A collaborative, open workplace
  • Team Events

This is a remote position that can be done from anywhere. Due to the remote nature of this role, we are unable to provide visa sponsorship.