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Remote Applied Data Analytics Jobs in Massachusetts

IQVIA

Senior Data Quality Analyst

Burlington, MA · On-site +1

... analytics delivered to healthcare organizations nationwide. Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles & Responsibilities * Lead data quality ...

TACT

Applied Behavior Analysis (ABA) Technician

Acton, MA · On-site +1

$23 - $27/hr

If you are a graduate student in Applied Behavior Analysis, our rich dedication to highly quality ... Data summary, data graphing, curriculum design, supervision, design and implementation of ...

YO AI Labs

AI Consulting Expert - Remote

Boston, MA · Remote

$100 - $200/hr

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

YO AI Labs

AI Consulting Expert - Remote

Boston, MA · Remote

$100 - $200/hr

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

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Remote Applied Data Analytics information

What is remote applied data analytics?

A Remote Applied Data Analytics job involves analyzing data to extract insights and help organizations make data-driven decisions, all while working from a location outside of a traditional office. Professionals in this role use statistical methods, programming, and data visualization tools to interpret complex datasets. They often collaborate with cross-functional teams to solve business problems, optimize processes, and present actionable findings. Remote positions in this field require strong technical skills, good communication, and the ability to work independently using digital collaboration tools.

What are the key skills and qualifications needed to thrive as a remote applied data analytics professional?

To thrive as a Remote Applied Data Analytics professional, you need a strong background in statistics, data analysis, and problem-solving, typically supported by a degree in a quantitative field. Proficiency with data analytics tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI, as well as familiarity with data management systems, is essential. Strong communication, self-motivation, and the ability to work independently are key soft skills for succeeding remotely and translating data insights into actionable recommendations. These skills ensure effective analysis, clear communication of findings, and the ability to drive data-informed decisions in a remote work environment.

What are some common challenges faced by professionals in remote applied data analytics roles, and how can they be addressed?

Remote applied data analytics professionals often encounter challenges such as effective communication with cross-functional teams, maintaining data security, and managing time across different time zones. To address these issues, it's important to leverage collaborative tools for clear communication, establish regular check-ins, and follow best practices for data privacy. Additionally, setting structured work hours and proactively aligning with teammates can help ensure smooth project workflows and successful outcomes.

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

AspectRemote Applied Data AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related field; experience with data visualization tools
Work EnvironmentCollaborative teams, project-based tasks, often cross-functionalData-focused tasks, reporting, and data interpretation within organizations
Employer & Industry UsageTech, finance, healthcare, consulting firmsBusiness, marketing, finance, and healthcare sectors

Remote Applied Data Analytics involves applying advanced analytics techniques to solve complex problems, often requiring knowledge of data science tools. Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While both roles require analytical skills, Applied Data Analytics emphasizes modeling and predictive analytics, whereas Data Analysts concentrate on data interpretation and visualization.

What are popular job titles related to Remote Applied Data Analytics jobs in Massachusetts?

For Remote Applied Data Analytics jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Applied Data Analytics jobs in Massachusetts look for?

The top searched job categories for Remote Applied Data Analytics jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Applied Data Analytics jobs?

Cities in Massachusetts with the most Remote Applied Data Analytics job openings:

Remote Applied Data Analytics jobs near you

Senior Analyst, Advanced Analytics: Auto Physical Damage (APD)

Liberty Mutual Insurance

MA • On-site, Remote

$83K/yr

Full-time

Re-posted 20 days ago

Liberty Mutual rating

8.8

Company rating: 8.8 out of 10

Based on 161 frontline employees who took The Breakroom Quiz

46th of 311 rated insurance

Job description

Description
The Auto Physical Damage (APD) Data Science team builds and deploys data science products that power faster, more consistent, and more accurate claims outcomes. Our portfolio spans both traditional machine learning models and Generative AI systems (e.g., document summarization, LLM-driven decision support, and unstructured-data extraction). As our model footprint grows, ensuring these systems remain accurate, reliable, and trustworthy in production is mission-critical.
We are seeking a Model Monitoring Analyst to design, build, and operate the systems that keep our production models healthy. You will be the owner of model observability across the APD portfolio - establishing how we detect performance degradation, data drift, and anomalous behavior for both classical ML and GenAI systems. This is a highly visible role that partners closely with data scientists, ML engineers, claims business partners, and model governance teams.
**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel.**
Key Responsibilities
  • Build monitoring infrastructure for production models, covering both traditional ML and GenAI/LLM systems, including automated pipelines, dashboards, and alerting.
  • Define and track model health metrics - for ML: accuracy, precision/recall, AUC, calibration, feature and prediction drift. For GenAI: output quality, hallucination/grounding checks, relevance, latency, token/cost usage, and guardrail adherence.
  • Detect and diagnose issues such as data drift, concept drift, performance decay, and data-quality breaks, then triage and escalate to the appropriate model owners.
  • Establish thresholds and alerting that balance early detection with alert fatigue, and document expected behavior and remediation runbooks.
  • Partner with data scientists and ML engineers to integrate monitoring into the model deployment lifecycle (CI/CD, MLOps/LLMOps).
  • Support model governance and compliance by producing monitoring evidence, audit-ready reporting, and documentation aligned with enterprise model risk management standards.
  • Analyze production outcomes against business KPIs to surface opportunities for model improvement or retraining.
  • Communicate findings clearly to both technical and non-technical stakeholders through reporting and periodic model health reviews.

The ideal candidate will have:
  • Bachelor's degree in a quantitative field (Statistics, Data Science, Computer Science, Engineering, Economics, or related), or equivalent experience.
  • 3+ years of experience in data analytics, data science, ML engineering, or a related analytical role.
  • Proficiency in SQL and Python for data manipulation and analysis.
  • Solid understanding of machine learning concepts and model performance evaluation.
  • Experience building dashboards and reports (e.g., Streamlit, Tableau, or similar).
  • Strong analytical, problem-solving, and communication skills, with attention to detail.

Additionally:
  • Graduate degree in a quantitative field (Statistics, Data Science, Computer Science, Engineering, Economics, or related), or equivalent experience.
  • Experience with model monitoring / observability tooling
  • Experience with A/B testing or experiment design to test impact of solutions
  • Familiarity with GenAI/LLM evaluation concepts - prompt/response quality, hallucination detection, retrieval-augmented generation (RAG), guardrails, and LLM cost/latency monitoring.
  • Exposure to cloud platforms (AWS, Azure, or GCP) and MLOps/LLMOps practices.
  • Knowledge of the auto claims or insurance domain.

Qualifications
  • Bachelor's Degree plus a minimum 3 years, typically 4 or more years of experience, or equivalent, is required.
  • Mathematics, Economics, Statistics or other quantitative field are preferred fields of study.
  • Advanced knowledge of data sources, tools, statistical principles and methodologies, and techniques.
  • Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Emblem).
  • Must have good planning, analytical, decision-making and communication skills. Solid understanding of business to improve business outcomes.

About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco

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About Liberty Mutual

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Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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