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. #J-18808-Ljbffr Motion Recruitment Partners, LLC