Senior Data Engineer/Data Scientist

Senior Data Engineer/Data Scientist

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.