ZipRecruiter

Log In

2

Remote Data Jobs in Springfield, MA (NOW HIRING)

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

IQVIA

Data Analytics Analyst II

Hartford, CT · Remote

$56K - $140K/yr

Data Analytics Analyst II The Analytics team within IQVIA's Patient Access & Support Services (PASS ... A willingness or ability to travel as needed ( This is a remote / WFH role open to candidates ...

The Hartford

Data & AI Delivery Lead

Hartford, CT · On-site +1

$156K - $234K/yr

Dir Data Engineering - GE06AE We're determined to make a difference and are proud to be an ... Hybrid / Or Remote This role can have a Hybrid or Remote work schedule. Candidates who live near ...

Accounting Fly

Remote Tax Manager

Stafford, CT · Remote

$150K - $170K/yr

Job Title: Remote Tax Manager Job ID: 1050602 Date Posted: July 28, 2026 Employment Type ... than just transactional data entry. * Firm Scaling: Help strengthen and scale our advisory ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · 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 ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · 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 ...

next page

Showing results 1-20

All JobsData JobsRemote Data JobsRemote Data Jobs in Springfield, MA

Remote Data information

See Springfield, MA salary details

$45.8K

$164.4K

$242.6K

How much do remote data jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote data in Springfield, MA is $164,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,000.00 and $169,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Springfield, MA? The most popular types of Data jobs in Springfield, MA are:
What are popular job titles related to Remote Data jobs in Springfield, MA? For Remote Data jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Springfield, MA look for? The top searched job categories for Remote Data jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Remote Data jobs? Cities near Springfield, MA with the most Remote Data job openings:
Remote Data jobs near you
Infographic showing various Remote Data job openings in Springfield, MA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $164,441 per year, or $79.1 per hour.

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

Archgroup

Hartford, CT • Remote

$185K - $235K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 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 businessoperates. We build AI-first, agent-driven products that change how Arch underwrites, services, and learns from its book - combining frontier LLMs, multi-agent orchestration (MCP, A2A), retrieval-augmented generation, evaluation harnesses, and traditional ML.Our missionis broad: agentic automation, decision support, AI-driven insights, and the platform engineeringrequiredto make all ofitproduction-grade.

We have a strongtrack recordof success(productionalizingdozens ofhigh qualityGen AI products over the last 3 years) -weaim to continue scaling these efforts and are seeking an AVP AIEngineering tolead thearchitecture & developmentof true multi-agent systems within Strategic Analytics. Reporting to theSVP of AI & Automation, you will design andoperateorchestrations where agents communicate directly with one another - not just sequential, hand-off-driven workflows.After architecting themultiagentsystem,you willautomate complex decisions by usingData Science frameworks/processes.This will happen in thesystemyoucreateandproductionsolutionsmust workathighlevelsof accuracy.You willpartnerwithImplementation Engineering (IE)on theorchestrationentry points and any infrastructure-side connectors.

Key Responsibilities

  • Designourmulti-agent orchestration patterns (master-orchestrator + specialized worker agents) using protocols such as MCP and A2A.

  • This may be a blend of build & buy

  • Lead end-to-end delivery of agentic underwriting and claims automations, from prototype throughtoproduction.

  • Use precision/recall, calibration, confidence thresholds, error analysis, and business-impact measurement todeterminewhen automation is safe to deploy

  • Design decision frameworks that combine LLMs, retrieval, traditional ML, business rules, and human review."

  • Identifythe conditions where the automation should be trusted, reviewed, or discarded

  • Partner with IE on orchestration entry-point design (e.g., Azure Function endpoints, master-agent gateways) so the AE/IE seam is clean and scalable.

  • Leadoffshore engineers and team members on agentic patterns, prompt engineering, and reliability practices.

  • Establish coding, evaluation, and observability standards for agentic systems within the AI & Automation Center of Excellence.

  • Translate business intent into working agentic systems - not just systems that compile, but systems that deliver measurable business outcomes.

Required Skills / Experience

  • 7+ years of software engineering and/or automation engineering experience.

  • 3+ years of Data science experience

  • 3+ years of people leadership experience

  • Demonstratedexperience buildingproduction grademulti-agent or agentic systems (beyondPOCwork).

  • Strongtrack recordofdeveloping supervised learning models (ML and/or GLMs)that have a financially measurable impact on the business

  • Strong experience sourcing & evaluating vendors

  • StrongPython experience

  • Resilient problem solving - comfortable with ambiguous problems and capable of breaking them into shippable increments.

  • Strong written and verbal communication; able tooperateacross IE, AE, DS, and business stakeholders.

  • Demonstrated, hands-on production experience (not POC-only) with the current AI stack: RAG, MCP / A2A or equivalent agent-to-agent protocols, agentic orchestration frameworks, and the ability to articulate where each is the right tool. Comfort scanning for and trialing new tooling as the space evolves.

Desired Skills / Experience

  • P&C insurance domain familiarity - underwriting, claims, or submission lifecycle.

  • Experience with retrieval-augmented generation (RAG),evaluationharnesses, and structured-output patterns.

  • Cloud experience in Azure (preferred for our stack) and/or AWS; familiaritywith private endpoints and enterprise-grade safeguards.

  • Experience leading multidisciplinary teams (onshore + offshore) for technology delivery.

  • Visibletrack recordof self-directed learning in the AI space - side projects, contributions to agentic frameworks, write-ups, conference talks, or other evidence that the candidate is investing personal time staying ahead of the curve.

Education

  • College degree in Computer Science, Software Engineering, Data 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

Apply