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Data Science Entry Level Remote Jobs in Massachusetts

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Viridian Therapeutics, Inc.

IT Intern

Waltham, MA · On-site +1

$16.25 - $21.50/hr

Reporting to the Director of IT, R&D Applications, the IT Intern will support data science ... If remote, travel to headquarters for meetings would be required at the discretion of management.

TripleTen

... Data Science programs. TripleTen LATAM is among the Top 3 EdTech companies in LATAM and are on ... Remote, async-friendly format * Competitive rate per task / per hour (negotiable based on scope ...

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All JobsData Science Entry Level Remote JobsData Science Entry Level Remote Jobs in Massachusetts

Data Science Entry Level Remote information

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 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 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 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 are the most commonly searched types of Data Science Remote jobs in Massachusetts? The most popular types of Data Science Remote jobs in Massachusetts are:
What are popular job titles related to Data Science Entry Level Remote jobs in Massachusetts? For Data Science Entry Level Remote jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Data Science Entry Level Remote jobs in Massachusetts look for? The top searched job categories for Data Science Entry Level Remote jobs in Massachusetts are:
What cities in Massachusetts are hiring for Data Science Entry Level Remote jobs? Cities in Massachusetts 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 Massachusetts as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Technical Staff - Remote Sensing Scientist

Technical Staff - Remote Sensing Scientist

MIT Lincoln Laboratory

Lexington, MA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Key responsibilities

  • Prototype, operate, and analyze the performance of highly integrated electro-optical sensor systems for terrestrial and space applications.

  • Collaborate with imaging and data scientists as well as hardware and software engineers to support the application of advanced electro-optical sensor systems.

Job description

The Applied Space Systems Group develops environmental monitoring electro-optical and microwave sensor systems for remote sensing applications.  The group supports partners in US Government organizations as well as industry.  Activities include development of electro-optical and microwave sensors; system and architecture analysis; signal processing, data analysis and algorithm development.  The group seeks physicists, astronomers, applied mathematicians, electrical engineers, computer engineers, and those with related experience who have interest in developing cutting edge space remote sensing technologies for future missions.

Job Description

Group 97, The Applied Space Systems Group, seeks a remote sensing scientist to join our team, focused on supporting the application of advanced electro-optical sensor systems.  The successful candidate will be part of a team with imaging and data scientists as well as hardware and software engineers to prototype, operate and analyze the performance of highly integrated sensor systems for terrestrial and space applications.

Requirements

  • PhD in Physics, Optical or Aerospace Engineering or related field.  In lieu of PhD, MS with 5 or more years of related experience is acceptable.
  • Significant professional or academic experience in at least two of the following areas, and some familiarity and career interest in several others:
    • Satellite remote sensing
    • Radiative transfer modeling
    • Optical sensor characterization, data calibration, error budgets, uncertainty modeling
    • Algorithm Development, machine learning & deep learning for remote sensing, simulation, Monte Carlo uncertainty, validation vs ground truth, Bayesian estimation, error budget analysis
    • Space systems: vehicle design, space environment design and analysis
    • Test design, procedure development, and execution
    • Hardware assembly: clean room and ESD / test environment experience
    • Automated analysis and reporting: tools, custom analysis applications with user interfaces
  • Demonstrable ability to
    • Develop respectful, productive working relationships
    • Communicate clearly, precisely, and concisely to technical and non-technical audiences
    • Solve broad and/or complex technical or engineering problems
    • Learn and apply advanced technical knowledge quickly and proficiently
  • Analytical and/or scientific programming proficiency (e.g. MATLAB, Python, C/C++, or similar), including high performance computing workflow development
  • Active Secret Security Clearance highly desired

Recent Graduate Hiring Range: $145,200-$170,000 

Experienced Hiring Range: $145,200-$220,000  

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits. 

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

Requisition ID: 42748 

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