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Remote Junior Data Scientist Jobs in Springfield, MA

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Data Engineer II - Snowflake, dbt, AWS

Hartford, CT ยท On-site +1

$126K - $208K/yr

Bachelor's degree in computer science, related STEM field, or its equivalent in education and/or work experience. * 4 additional years of data engineering experience. What Is in It for You? * Health ...

R2R SAP Business Analyst - Remote

Hartford, CT ยท On-site +1

$52.75 - $70.50/hr

Together, we push the boundaries of known science and find new ways to connect and protect our ... Document common solutions, including configuration documents, process flows and data policies.

Showing results 41-60

Remote Junior Data Scientist information

See Springfield, MA salary details

$37.4K

$122.3K

$195.8K

How much do remote junior data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote junior data scientist in Springfield, MA is $122,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $135,500.00 per year, depending on experience, location, and employer.

What does a remote junior data scientist do?

A Remote Junior Data Scientist assists in analyzing and interpreting complex data to help organizations make informed decisions, all while working from a location outside the traditional office. Their tasks often include cleaning and organizing data, building basic models, creating visualizations, and assisting senior data scientists with larger projects. They primarily use programming languages like Python or R and work with databases and data visualization tools. Communication and collaboration with team members often happen through digital platforms, making remote work possible. This role is ideal for those with strong analytical skills and a passion for problem-solving using data.

What are the key skills and qualifications needed to thrive as a remote junior data scientist, and why are they important?

To thrive as a Remote Junior Data Scientist, you generally need a solid background in statistics, programming (usually Python or R), and a degree in a quantitative field such as computer science, mathematics, or engineering. Familiarity with data analysis tools like Pandas, NumPy, SQL, and visualization libraries, as well as experience with machine learning frameworks such as scikit-learn or TensorFlow, is typically expected. Strong problem-solving abilities, communication skills, and self-motivation are essential soft skills for succeeding in a remote environment. These competencies enable you to analyze data effectively, communicate insights clearly, and independently contribute to team goals from a remote setting.

What are some common challenges remote junior data scientists face when collaborating with distributed teams?

Remote Junior Data Scientists often face challenges such as effective communication, aligning on project goals, and managing time zone differences when working with distributed teams. It can be difficult to get immediate feedback or clarification, which may slow down tasks like data cleaning or model validation. To overcome these challenges, it's important to proactively communicate through regular check-ins, use collaboration tools like Slack or JIRA, and document work clearly. Building relationships with teammates and seeking mentorship can also help you grow and stay engaged in a remote environment.

What is the difference between Remote Junior Data Scientist vs Remote Data Analyst?

AspectRemote Junior Data ScientistRemote Data Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; some knowledge of programming (Python, R)Bachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, project-based tasks, data modeling, and machine learningData reporting, cleaning, visualization, and interpreting data for business insights
Employer & Industry UsageTech companies, startups, finance, healthcareRetail, marketing, finance, consulting

Remote Junior Data Scientists focus on building models and applying machine learning techniques, requiring programming skills and a background in data science. Remote Data Analysts primarily handle data cleaning, visualization, and reporting, often with less emphasis on advanced modeling. Both roles are in high demand across various industries, but they differ in technical complexity and daily tasks.

What are popular job titles related to Remote Junior Data Scientist jobs in Springfield, MA?

For Remote Junior Data Scientist jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Remote Junior Data Scientist jobs in Springfield, MA look for?

The top searched job categories for Remote Junior Data Scientist jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Remote Junior Data Scientist jobs?

Cities near Springfield, MA with the most Remote Junior Data Scientist job openings:

Associate Professor for the Doctor of Health Science

Bay Path University

East Longmeadow, MA โ€ข On-site, Remote

$95K - $100K/yr

Full-time

Re-posted 4 days ago


Job description

The Doctor of Health Science (DHSc) program seeks a dynamic and collaborative faculty member with demonstrated excellence in online graduate education, scholarship, and doctoral-level mentoring. The successful candidate will be an experienced educator and scholar with a strong record of teaching, peer-reviewed publications, and engagement in the healthcare field.
This full-time, 12-month remote faculty position includes primary responsibilities in teaching, doctoral research supervision, student advising, and participation in program and institutional initiatives. The faculty member will be academically and experientially qualified to teach across the DHSc curriculum and to mentor students in both qualitative and quantitative research methodologies. The role requires the ability to design and deliver high-quality online instruction, engage students in meaningful learning experiences, and support the development and completion of doctoral research projects.
The faculty member will report to the DHSc Program Director and carry a teaching load of 24 credits annually. In collaboration with program faculty and leadership, the individual will contribute to curriculum development, course revision, and ongoing program assessment. Additional expectations include maintaining an active program of scholarship, participating in faculty governance and university service, and supporting admissions and student engagement activities as needed. The position is a non-tenure, full-time remote faculty position with occasional travel to campus for required university activities, such as, but not limited to, university graduation and faculty development sessions.
The DHSc program is housed within the School of Health and Natural Sciences, which includes a range of undergraduate and graduate programs preparing professionals and leaders in healthcare and natural sciences. The selected candidate will join a collaborative academic community committed to innovation, student success, and excellence in teaching and learning.
Essential Job Functions
The DHSc Faculty member will:
  • Teach 24 credits (8 courses) annually in the DHSc program
  • Design, deliver, and maintain online courses in Canvas LMS in collaboration with instructional design support
  • Prepare course materials, including syllabi, instructional content, and assessments
  • Facilitate student-centered learning and provide timely, constructive feedback
  • Maintain regular office hours and evaluate student performance, maintaining accurate academic records
  • Chair and/or serve on doctoral research committees, supervise student research projects, and oversee research project orientation
  • Advise students on academic progress, research development, and professional goals
  • Assess student learning outcomes and contribute to program evaluation and continuous improvement processes
  • Participate in curriculum development, course revision, and programmatic initiatives
  • Contribute to accreditation activities, including data collection, reporting, and program review
  • Participate in admissions activities, including outreach, applicant review, and interviews as needed
  • Engage in scholarship, including peer-reviewed publications and other intellectual contributions
  • Participate in professional organizations and ongoing professional development
  • Collaborate with faculty, staff, and university partners to support program and institutional goals
  • Participate in faculty governance and attend program, school, and university meetings and events (e.g., Commencement)
  • Adhere to FERPA and HIPAA regulations and university policies
  • Attend required trainings and maintain compliance with institutional requirements
  • Perform any other duties or tasks as assigned by the University.

  • Research doctorate (PhD, EdD, or equivalent) in health science or a related field
  • Minimum of 5 years of successful full-time college teaching experience at the graduate-level and significant evidence of scholarly and creative activity
  • Demonstrated experience teaching and developing online courses (Canvas LMS preferred)
  • Experience teaching research methods and mentoring student research at the graduate level
  • Record of scholarly activity, including peer-reviewed publications
  • Minimum of 5 years of professional experience in healthcare or a related field
  • Ability to teach across the DHSc curriculum
  • Excellent oral and written communication skills
  • Strong organizational, analytical, and time management skills
  • Ability to work independently and collaboratively in a remote academic environment
  • Proficiency with instructional technologies and data management systems
  • Ability to establish and maintain effective working relationships with students, faculty, staff, and administrators
  • Ability to adhere to University policies and procedures
  • Ability to handle confidential information with discretion and in accordance with FERPA and HIPAA
  • All new employees must complete required trainings (e.g., FERPA, Anti-Harassment) within designated timeframes
  • General knowledge of the University's mission, purpose, and goals, and the role of this position in achieving them