Senior Data Engineer​/Data Scientist

Job Description

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 work streams, 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.

• 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, Dev Ops, 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

• 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.