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Data Science Entry Level Remote Jobs in Princeton, NJ

1 point system

Healthcare Data Engineer

New York, NY · Remote

$117K - $140K/yr

Master's or Bachelor's degree in Engineering (IT, Electronics, Communication, Computer Science, or ... Comfort working with remote team members located in the US, India, or other geographies.

Moody's Analytics

MLOps Engineer

New York, NY · On-site +1

... remote work depending on one's personal choice. Responsibilities: As the Machine Learning Ops Engineer for the AI Team you will: * Work closely with the Data Science team and the Data Engineers and ...

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Data Science Entry Level Remote information

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 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 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 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 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:
Data Science Entry Level Remote jobs near you
Infographic showing various Data Science Entry Level Remote job openings in Princeton, NJ as of August 2026, with employment types broken down into 21% Internship, and 79% Full Time. Highlights an 100% Remote job distribution.

Healthcare Data Engineer

1 point system

New York, NY • Remote

$117K - $140K/yr

Contractor

Re-posted 12 days ago

Job description

You will work with the development team to build and maintain our legacy claim auditing system. You will analyze the needs and the environment to ensure the solutions you develop consider the current architecture and operating environment, as well as future functionality and enhancements.

Job Duties & Responsibilities

Domain Expertise: Maintain a strong knowledge of medical claims, member data, and provider data.

Agile Development: Participate actively in Agile-based projects.

System Maintenance: Modify existing programs to align with new standards.

Testing & Deployment:

Conduct unit testing of all developed programs.

Create migration packages for system testing, user testing, and implementation.

Job Requirements

Education: Master’s or Bachelor’s degree in Engineering (IT, Electronics, Communication, Computer Science, or Information Systems).

Database Expertise: Extensive experience with large datasets and relational databases, specifically Microsoft SQL Server.

Technical Stack: Proficiency in SQL, PL/SQL, T-SQL, Hadoop, Python, and Java.

Optimization: Hands-on experience in SQL optimization and tuning using SQL Profiler and Query Execution Plans.

Methodology & Lifecycle:

In-depth understanding of the SDLC.

Experience working in Agile environments.

Data Operations:

Experience with ETL processes and QA within a SQL environment.

Experience addressing operational data issues and ensuring optimal performance.

Healthcare Domain: Experience with healthcare data and health forms.

Analytics: Experience in advanced analytics.

Required Skills

Professionalism: Handles confidential information with sensitivity and maintains high ethical standards.

Interpersonal: Develops positive working relationships and possesses strong communication skills.

Teamwork: Shares ideas and information freely; proactively assists colleagues unprompted.

Mindset: Passionate about technology, self-motivated, and committed to continuous learning.

Desired Skills & Experience

Advanced Frameworks: Knowledge of SAFe (Scaled Agile Framework) or other Agile frameworks.

Big Data Tech: Experience with PySpark and Cloudera Hadoop.

Skills & Competencies

Communication: Excellent verbal and written communication skills.

Adaptability: Strong organizational skills with the ability to adapt to rapidly changing priorities and workloads.

Autonomy: Ability to work well independently and maintain focus in a highly dynamic work environment.

Global Collaboration: Comfort working with remote team members located in the US, India, or other geographies.