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 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
Desired Skills & Experience
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
What You Will Be Doing Tech Breakdown
35% Applied Machine Learning & AI Workflows
30% Data Engineering & Analytical Development
20% Research, Prototyping & Model Evaluation
15% Technical Leadership & Mentorship
Daily Responsibilities
60% Hands On Technical Work
25% Cross-Functional Collaboration
15% Mentorship & Technical Guidance
The Offer
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.