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Data and AI jobs in Boston

Compare Data & AI openings in Boston by responsibilities and the actual office location. Confirm whether a posting means Boston itself, Cambridge or another part of Greater Boston, and how often attendance is required. This guide does not claim a city-wide vacancy growth rate.

Investigate employers and teams

The existing local employer examples include Wayfair and Biogen, alongside larger technology companies. Use these as research leads. Check official careers pages for an open role, its location and the team’s deliverable; an employer’s presence does not guarantee a suitable vacancy.

Use local learning options carefully

When considering MIT, Harvard or another institution in the Boston area, check the current program, prerequisites, format and cost. Those institutions are not evidence that a particular course or qualification guarantees employment. Match training with a skill you need to demonstrate.

Compare responsibilities and pay

Look for the decisions or systems you would own: metrics, data pipelines, experiments, model serving or AI application evaluation. Compare the advertised base-pay range and benefits with the same location and scope. A national occupational median is not a measured Boston offer.

Plan a practical application

Prepare a permitted portfolio example, explain its checks and ask about assessment rules for AI assistance. Confirm the working location and meeting schedule before planning a commute or relocation.

Sources and next steps

Sources checked on October 2, 2026.

Microsoft Learn: data analyst role

Google Cloud: data engineer role

Salary sources and limitations

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Why Dataaxy

Everything you need for a focused Data & AI job search

  • Specialist job catalogue

    Explore roles across Data Analytics, Data Engineering, Data Science, Machine Learning, and AI.

  • Focused search tools

    Save a search and use job alerts to follow the roles, locations, and work setups that fit.

  • Public talent profiles

    Show recruiters your skills, availability, preferred roles, and work preferences in one place.

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