Data collection • lynn ma
A leading global economics and analytics consulting firm is hiring a full-time Senior Data Engineer (Applied AI/ML) for its Boston, MA office.This role sits at the intersection of data engineering,... Show more
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AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
Data Collection Lab Manager (Shift Leader).Generalist is looking for a Data Collection Lab Manager to lead and evolve the operations behind our on-site data collection efforts.You'll act as a shift... Show more
Join Goodwin's Global Operations Team, and make a real impact on a global scale.At Goodwin, we work with some of the world's most successful and innovative investors, entrepreneurs and disruptors i... Show more
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General Dynamics Mission Systems Military Internship Program.If youre looking for a chance to experience civilian life and continue your mission to support our nation, then the General Dynamics Mis... Show more
This role represents an opportunity to be at the forefront of transformation, innovation, and service excellence for our U.You will help to shape a new retirement recordkeeping and trust operations... Show more
The average salary range is between $ 36,400 and $ 84,721 year , with the average salary hovering around $ 48,736 year .
A leading global economics and analytics consulting firm is hiring a full-time Senior Data Engineer (Applied AI/ML) for its Boston, MA office. This role sits at the intersection of data engineering, applied machine learning, and analytical consulting, supporting high-impact client engagements involving complex structured and unstructured datasets. The environment combines advanced analytics, Python-based machine learning, generative AI workflows, and real-world business problem solving across industries where defensible, data-driven insights are critical.
This is an opportunity to work on highly complex and ambiguous analytical challenges while helping shape the future of AI and analytics capabilities inside a globally recognized consulting organization. The team is looking for someone who can independently evaluate modeling approaches, lead technical workstreams, and help develop innovative analytical methods involving LLMs, vector-based search, and unstructured data analysis. If you enjoy solving difficult data problems, influencing technical strategy, mentoring engineers, and researching emerging AI technologies in a fast-paced consulting environment, this role offers strong ownership, visibility, and long-term career growth.
Required Skills & Experience· Bachelor’s degree in Computer Science, Engineering, or related field
· 4–7 years of experience in data engineering, analytics, or related technical roles
· Strong proficiency in Python for data processing, modeling, and automation
· Applied machine learning experience across classification, clustering, ranking, and generative AI workflows
· Experience working with structured and unstructured datasets
· Strong understanding of feature engineering, model evaluation, and analytical trade-offs
· Strong SQL and relational database knowledge
· Experience with cloud platforms such as Azure or similar cloud environments
· Experience with Git and collaborative software development practices
· Strong communication skills with technical and non-technical stakeholders
· Experience mentoring junior engineers and reviewing code
· Experience with vector-based search or retrieval systems
· Exposure to LLM-enabled workflows and text analytics
· Experience researching or prototyping emerging AI/ML technologies
· Consulting or client-facing analytics experience
· Familiarity with heterogeneous and messy real-world datasets
· Experience collaborating across IT, DevOps, and analytics teams
· 35% Applied Machine Learning & AI Workflows
· 30% Data Engineering & Analytical Development
· 20% Research, Prototyping & Model Evaluation
· 15% Technical Leadership & Mentorship
· 60% Hands On Technical Work
· 25% Cross-Functional Collaboration
· 15% Mentorship & Technical Guidance
• Competitive compensation package + performance-based incentives
You will receive the following benefits:
· Medical Insurance
· Dental Benefits
· Vision Benefits
· Paid Time Off (PTO)
· 401(k)
· Hybrid work flexibility
· Opportunity to work on cutting-edge AI and analytics initiatives
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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