Senior Data Engineer/Data Scientist

About this role

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 pr...