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Remote Applied Data Analytics Jobs in Massachusetts

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$150K - $200K/yr

This full-time, remote position allows you to leverage your expertise in the health and fitness ... As an Oncology Data Specialist, you will play a crucial role in managing and analyzing oncology ...

BK Behavior

$82K - $100K/yr

Board Certified Behavior Analyst We are seeking a Board Certified Behavior Analyst (BCBA) to provide remote Applied Behavior Analysis (ABA) services to children and families across multiple states.

Tiger Analytics Inc.

Data Architect

Westwood, MA · Remote

$71.25 - $91.75/hr

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems ... remote global workforce. If you are passionate about leading large-scale cloud and data ...

State Street Global Advisors

Market Risk

Boston, MA · On-site +1

$82K - $180K/yr

Hybrid remote telecommuting permitted pursuant to company policy. Minimum requirements: Master ... applied data analytics is gained. Must also have: demonstrated knowledge of Foreign Exchange and ...

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All JobsApplied Data Analytics JobsRemote Applied Data Analytics JobsRemote Applied Data Analytics Jobs in Massachusetts

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

AI Data Scientist Expert - Remote

YO AI Labs

Boston, MA • Remote

$100 - $200/hr

Part-time

Posted 12 days ago

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.