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Data Science Entry Level Remote Jobs in Princeton, NJ

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Remote Commitment: 35 hours/week Role Responsibilities * Design complex analysis tasks to simulate real research work, including data cleaning, statistical analysis, and clear reporting. * Author ...

Lead Data Scientist

New York, NY · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Develop statistical models and data science solutions while also implementing the infrastructure to ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Remote, however travel might be required as per business requirements FTE Only Where you're headed You'll creatively use data to solve business challenges, often uncovering new and transformative ...

Responsibilities Executes entry-level tasks under supervision. - Supports internal meetings and ... Qualifications Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics ...

This is an entry-level remote role. You Will: * Help to keep projects moving through the agency ... We value collaboration and diversity of thought and we rely on the power of behavioral science ...

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project ... and Data Science , AI / ML Research , Computer Science , Game Development , or Mechanical ...

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Data Science Entry Level Remote information

What is a data science entry level remote job?

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 skills and qualifications are needed to thrive as an entry-level remote data scientist?

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 challenges do 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 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 popular job titles related to Data Science Entry Level Remote jobs in Princeton, NJ?

For Data Science Entry Level Remote jobs in Princeton, NJ, the most frequently searched job titles are:

What job categories do people searching Data Science Entry Level Remote jobs in Princeton, NJ look for?

The top searched job categories for Data Science Entry Level Remote jobs in Princeton, NJ are:

What cities near Princeton, NJ are hiring for Data Science Entry Level Remote jobs?

Cities near Princeton, NJ with the most Data Science Entry Level Remote job openings:

Infographic showing various Data Science Entry Level Remote job openings in Princeton, NJ as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Scientist (Remote)

New York, NY • On-site, Remote

Zenlaw
Internet and IT • 1 - 10 employees

Contractor

Re-posted 23 days ago


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.