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Remote Behavioral Data Science Jobs in Massachusetts

Senior Director, Immunology Data & AI Systems

Cambridge, MA ยท On-site +1

$54.50 - $74.75/hr

Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts ... fully remote option available). We are recruiting for a Senior Director, Immunology Data & AI ...

Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION ... Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long ...

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Data Engineer with AI - Remote

Boston, MA ยท On-site +1

$124K - $149K/yr

Collaborate with Data Science/ML and Product to productionize models and AI workflows; champion CI/CD and IaC. * Troubleshoot performance and cost issues; mentor engineers and set coding standards.

... and behavioral data to power highly-targeted customer and prospect communications. The company ... You will collaborate with marketing, data-science, sales, and engineering teams to discover areas ...

Showing results 41-60

Remote Behavioral Data Science information

What are the key skills and qualifications needed to thrive as a remote behavioral data scientist?

To thrive as a Remote Behavioral Data Scientist, you need expertise in statistical analysis, machine learning, behavioral science, and a degree in a related field such as psychology, statistics, or computer science. Proficiency with data analysis tools like Python, R, SQL, and experience with data visualization platforms and cloud-based collaboration systems are typically required. Strong communication, critical thinking, and self-motivation are vital soft skills for presenting findings and working independently within remote teams. These skills ensure effective analysis of human behavior data, actionable insights, and successful collaboration in distributed work environments.

What is remote behavioral data science?

Remote behavioral data science is a field where professionals analyze and interpret data related to human behavior, often using statistical methods, machine learning, and data visualization, all while working from a remote location. These scientists work with data from sources such as online interactions, surveys, or sensors to uncover insights into patterns, preferences, and decision-making. Remote roles allow for flexibility and collaboration with teams and clients around the world, using digital tools for communication and data analysis. This field is interdisciplinary, drawing from psychology, data science, and computer science.

How do remote behavioral data scientists typically collaborate with cross-functional teams to drive impactful insights?

Remote behavioral data scientists regularly work with cross-functional teams such as product managers, UX researchers, and engineers to translate user data into actionable recommendations. Collaboration often happens via virtual meetings, shared dashboards, and project management tools, ensuring alignment on goals and data interpretations. Effective communication and documentation are crucial, as data scientists must clearly explain complex analyses and behavioral patterns to non-technical stakeholders. This collaborative environment not only fosters innovation but also ensures that data-driven insights meaningfully inform product and business decisions.
What are the most commonly searched types of Behavioral Data Science jobs in Massachusetts? The most popular types of Behavioral Data Science jobs in Massachusetts are:
What are popular job titles related to Remote Behavioral Data Science jobs in Massachusetts? For Remote Behavioral Data Science jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Behavioral Data Science jobs in Massachusetts look for? The top searched job categories for Remote Behavioral Data Science jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Behavioral Data Science jobs? Cities in Massachusetts with the most Remote Behavioral Data Science job openings:

Data Engineer (Associate to Senior Level) - Remote

thg

Worcester, MA โ€ข On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 9 days ago


Job description

Our Enterprise Data & Analytics, Claims Analytics, and Technology teams are growingโ€”and weโ€™re looking for Data Engineers at multiple levels to help power the future of data at The Hanover.ย 

ย 

POSITIONS OVERVIEW:

In these roles, you will play a key part in designing and delivering scalable, secure, and high-performing data solutions that enable analytics, reporting, and strategic decision-making across the organization. Youโ€™ll work hands-on with modern data platforms and collaborate with cross-functional partners to transform complex data into actionable insights.

Whether youโ€™re early in your career building foundational skills or an experienced engineer leading enterprise-scale initiatives, youโ€™ll contribute to a data-driven culture by developing reliable pipelines, advancing data quality and governance, and continuously improving our cloud-based data ecosystem.

These are full-time, exempt roles.ย  ย 
POSITIONS SUMMARY:

Depending on your level, youโ€™ll:

  • Design, build, and optimize data pipelines and ETL workflows
  • Develop scalable data models, data structures, and data integrations
  • Work with modern cloud platforms including Azure Synapse, Data Factory, Data Lake, and Databricks
  • Ensure data quality, governance, security, and compliance
  • Partner with business stakeholders, analysts, and data scientists
  • Contribute to or lead complex, cross-functional data initiatives
  • Improve platform reliability through monitoring, validation, and automation
  • Create clear documentation, runbooks, and data lineage
  • Mentor junior engineers (Senior-level roles)

Technology Stack includes:ย 

  • Azure Data Services (Synapse, Data Factory, ADLS)
  • Databricks, Delta Tables, Spark / PySpark
  • SQL / T-SQL, Python (plus Java/Scala in some teams)
  • Power BI and analytics tools
  • CI/CD via GitHub / Azure DevOps

Associate Data Engineer (0โ€“2 years)

  • Build foundational skills in ETL, cloud data platforms, and data architecture
  • Work alongside experienced engineers to deliver scalable solutions
  • Ideal for candidates with strong SQL/Python fundamentals and a passion for learning

Data Engineer II (up to 5+ years)

  • Own development of pipelines, models, and datasets
  • Drive improvements in data quality, governance, and performance
  • Work independently across multiple projects with business impact

Senior Data Engineer (5+ years)

  • Lead complex data initiatives and architectural decisions
  • Design enterprise-scale data solutions in Azure
  • Mentor engineers and help establish best practices
  • Drive innovation in reliability, scalability, and cost efficiency

ย 

WHAT YOU NEED TO APPLY:

ย 

  • Degree in Data Science, Computer Science, or a related field
  • Must be eligible to work in the US without requiring any sponsorship, now or in the future (Law Permanent Residence or US Citizen
  • Experience with data engineering, ETL/ELT, and data modeling
  • Proficiency in SQL and Python (advanced at senior levels)
  • Strong problem-solving, communication, and collaboration skills
  • Experience with cloud data platforms (Azure preferred)
  • Passion for building high-quality, reliable data solutions

BONUS POINTS FOR:

ย 

  • Azure certifications (DP-203, DP-700)
  • Databricks / Data Lake experience
  • Power BI or analytics experience
  • Insurance or claims data knowledge