Data visualization • lynn ma
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The average salary range is between $ 82,499 and $ 153,216 year , with the average salary hovering around $ 105,000 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.
