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Remote Junior Data Scientist Jobs in Springfield, MA

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth.

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations ... Mentor junior engineers and contribute to communities of practice, promoting best practices ...

Remote Recruiter

Stafford Springs, CT ยท On-site +1

$60K - $65K/yr

Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ... You can access our privacy policy at volt-information-sciences-privacy-policy.pdf

GenAI Data Engineer

Hartford, CT ยท Remote

$117K - $140K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

GenAI Data Engineer

Hartford, CT ยท On-site +1

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

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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:

AVP, AI (Data Science/Engineer) Remote - EST

Archgroup

Hartford, CT โ€ข Remote

$185K - $235K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Strategic Analytics is a dynamic and growing team at Arch that drives innovation and transforms how the business operates. We build AI-first, agent-driven products that change how Arch underwrites, services, and learns from its book, combining frontier LLMs, multi-agent systems, retrieval-augmented generation (RAG), evaluation frameworks, and traditional machine learning.Our mission spans agentic automation, decision intelligence, AI-driven insights, and the responsible deployment of AI at scale. With a proven track record of productionizing dozens of high-quality GenAI products over the past three years, we are continuing to scale our impact and are seeking an AVP, AI Engineering to lead the design and application of advanced AI systems within Strategic Analytics.

Reporting to the SVP of AI & Automation, you will lead the development of multi-agent AI solutions that automate complex business decisions across underwriting and claims. This role is focused on applying AI, machine learning, and data science to solve high-value business problems, establish decision frameworks, and ensure AI systems deliver measurable outcomes with high levels of accuracy and trustworthiness.

Key Responsibilities

Lead the design of multi-agent AI systems that coordinate specialized models and agents to solve complex business problems.

Drive the end-to-end delivery of AI-powered underwriting and claims solutions from experimentation through production deployment.

Develop and evaluate decision frameworks that combine LLMs, retrieval systems, machine learning models, business rules, and human review.

Establish methodologies for measuring model performance, calibration, confidence, accuracy, and business impact to determine when automation is appropriate.

Define the conditions under which AI-driven decisions should be trusted, reviewed, or escalated.

Partner with cross-functional teams to integrate AI capabilities into business workflows and operational processes.

Mentor data scientists, AI engineers, and analysts on agentic AI, model evaluation, prompt engineering, and responsible AI practices.

Establish standards for AI evaluation, monitoring, governance, and continuous improvement within the AI & Automation Center of Excellence.

Translate business opportunities into scalable AI solutions that deliver measurable business value.

Required Skills and Experience

7+ years of experience in AI, machine learning, data science, analytics, or related disciplines.

3+ years of people leadership experience.

Demonstrated experience building and deploying production-grade AI, machine learning, or agentic systems beyond proof-of-concept work.

Strong track record of developing supervised learning models (ML and/or GLMs) that have delivered measurable financial impact.

Deep understanding of model evaluation, experimentation, statistical analysis, and decision science.

Strong experience evaluating AI technologies, platforms, and vendors.

Strong Python experience for data science, machine learning, and AI development.

Exceptional problem-solving skills with the ability to frame ambiguous business challenges as analytical and AI opportunities.

Strong communication skills with the ability to influence technical and non-technical stakeholders.

Hands-on experience with modern AI technologies, including LLMs, RAG, agentic systems, evaluation frameworks, and emerging AI tooling.

Desired Skills and Experience

Familiarity with P&C insurance, including underwriting, claims, or the submission lifecycle.

Experience with retrieval-augmented generation (RAG), evaluation frameworks, and structured-output techniques.

Experience applying AI and machine learning within enterprise environments.

Experience leading multidisciplinary teams across data science, AI, analytics, and technology functions.

Demonstrated commitment to staying current with advancements in AI through research, experimentation, publications, conference participation, or contributions to the AI community.

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Analytics, or equivalent practical experience.

#LI-LH1

#LI-REMOTE

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$185,000 - $235,000/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

10200 Arch Capital Services LLC