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Ai Data Analytics Jobs in Boston, MA (NOW HIRING)

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

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 ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

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 ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

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 ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

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 ...

VIA

Data Analytics Engineer

Somerville, MA · On-site

$125K - $150K/yr

... analyze sensitive data at speed without compromising security or control ... VIA's decentralized architecture keeps data sovereign, while its agentic AI helps organizations ...

VIA

Data Analytics Engineer

Somerville, MA · On-site

$125K - $150K/yr

... analyze sensitive data at speed without compromising security or control ... VIA's decentralized architecture keeps data sovereign, while its agentic AI helps organizations ...

Biogen

Director, Data & Analytics

Cambridge, MA · On-site

$191K - $263K/yr

Reporting to the Vice President of Corporate Functions IT, you will own the vision for how data, analytics, and AI transform planning, forecasting, and performance management and you will lead the ...

Biogen

Director, Data & Analytics

Cambridge, MA · Hybrid

$191K - $263K/yr

Reporting to the Vice President of Corporate Functions IT, you will own the vision for how data, analytics, and AI transform planning, forecasting, and performance management and you will lead the ...

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All JobsAi Data Analytics JobsAi Data Analytics Jobs in Boston, MA

Ai Data Analytics information

See Boston, MA salary details

$26

$59

$102

How much do ai data analytics jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai data analytics in Boston, MA is $59.48, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $67.36 per hour, depending on experience, location, and employer.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists to develop predictive models and automate data workflows.

What are popular job titles related to Ai Data Analytics jobs in Boston, MA?

For Ai Data Analytics jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Ai Data Analytics jobs in Boston, MA look for?

The top searched job categories for Ai Data Analytics jobs in Boston, MA are:

What cities near Boston, MA are hiring for Ai Data Analytics jobs?

Cities near Boston, MA with the most Ai Data Analytics job openings:

Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $123,705 per year, or $59.5 per hour.

AI & Data Analytics Opportunities

SharkNinja

Needham, MA • On-site

Full-time

Re-posted 28 days ago

SharkNinja rating

8.2

Company rating: 8.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

47th of 160 rated electronics manufacturers

Job description

Note:  This is a Pipeline Opening and Not Tied to A Specific Opening

The AI Product Manager owns strategy, roadmap, and delivery for AI initiatives across the enterprise. This role translates business objectives into a clear prioritized backlog, collaborating with engineering teams and external partners to deliver impactful solutions that drive measurable business impact through revenue growth or new operational efficiencies. The Product Manager works closely with Global Data Product Management, including Data and MDM, to ensure AI products are built on trusted, standardized data foundations. The role requires strong judgment in application integrations and build vs. buy tradeoffs, balancing speed, cost, and enterprise standards.

Key Responsibilities

Area

What You'll Own

Product Strategy & Vision

Define a 3-9-month AI roadmap aligned to company strategic goals, with clear problem statements and value hypotheses to maximize value.

Portfolio & Roadmap

Convert strategy into prioritized increments with PRDs, acceptance criteria, and release plans; keep a transparent backlog.

Evaluation & Experimentation

Own evaluation for AI features: offline tests, human and automated evals, and online A/B experiments to optimize quality, latency, and cost effectiveness. Publish decision logs for model, prompt, and dataset changes.

Responsible AI & Guardrails

Define safety, privacy, and compliance requirements; implement guardrails and review rituals with Security and Legal; ensure traceability of data, prompts, and outputs.

Application Integrations

Define product requirements for API-first and event driven integrations across CRM/ERP/eCommerce and data platforms; align on data contracts, SLAs, auth/PII handling, and system  observability with Platform teams.

Build vs Buy

Lead structured tradeoff analyses (TTV, TCO, vendor lock in, differentiation, compliance). Run proofs of value with vendors when needed and  recommend paths forward, highlighting risks and contingency plans..

CrossFunctional Leadership

Lead squads spanning ML Engineering, MLOps, Data Engineering, Analytics, and Business stakeholders; keep scope, risks, and dependencies visible.

Impact Measurement

Define clear KPIs that connect business outcomes to product performance, and provide executives with simple, actionable reporting against those targets.

Partnerships

Collaborate with Director, ML and AI, Security, Legal, Procurement, and Global Data Product Management (Data and MDM) to align standards, governance, and delivery.

 

Required Qualifications

  • 5+ years in product management with shipped data or AI features tied to measurable outcomes.
  • Proven ownership of evaluation and experimentation for AI features (offline metrics, human/auto evals, and A/B testing).
  • Handson experiences driving application integrations at enterprise scale (APIled and iPaaS patterns, SLAs, data contracts, identity).
  • Demonstrated ability to lead build vs. buy decisions, supported by clear financial models and risk analyses.
  • Excellent executive communication and stakeholder leadership.

Preferred Qualifications

  • Experience optimizing Amazon sales and ad channels.
  • Experience with Salesforce Cloud and CDP integrations.
  • Exposure to LLMOps practices (prompt versioning, guardrails, eval frameworks), vector search/RAG, or model observability.

 Success Metrics (first 12 months)

  • AI roadmap approved and in execution within 90 days.At least two AI product increments shipped with adoption targets met.
  • Application integrations delivered on time with measurable data quality and reliability improvements.
  • At least two major technology decisions completed with a formal build vs. Buy analysis and exec approval.
  • AI initiatives deliver a minimum 5x ROI on Capex investments, contributing directly to revenue growth.

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