Senior Data Engineer (Applied ML / Analytics)

• Define and lead technical workstreams for client and internal projects, including selecting analytical approaches, evaluating modeling strategies, and determining appropriate tools and methods for the problem context
• Triage and assess incoming client data from a wide range of sources and maturity levels, determining data readiness, required normalization, and appropriate analytical paths
• Exercise independent judgment in ambiguous situations, evaluating competing analytical approaches and technical trade-offs, and articulating clear recommendations to project teams, Principals, and clients
• Translate complex client questions and messy real-world data into appropriate analytical methods, determining when classical statistical methods, machine learning techniques, generative AI workflows, or simpler approaches are warranted
• Research, prototype, and evaluate new analytical methods, tools, or workflows that expand the team’s capabilities, particularly in areas such as text analysis, unstructured data, vector-based methods, and LLM-enabled workflows
• Develop proof-of-concept analyses and models, and structure handoff plans for junior engineers to implement, refine, and scale where appropriate
• Review code submitted by engineers, providing technical feedback and guidance on design, modeling choices, and maintainability
• Write reproducible Python-based analyses for data processing, unstructured data exploration, modeling, and evaluation
• Contribute to internal documentation, training, and knowledge sharing, helping establish recommended practices and reusable analytical approaches
• Coordinate with IT as needed on software licensing, tooling evaluation, and deployment of new analytical technologies

THE CANDIDATE

• Bachelor’s Degree in Computer Science, Computer Engineering, or related field; advanced degree is a plus
• 4–7 years of professional experience in data engineering, analytics, or related technical roles
• Proven track record delivering complex, ambiguous data projects, including selecting approaches and managing trade-offs
• Demonstrated ability to research and pilot new technologies or methodologies
• Strong proficiency in Python for data processing, automation, exploratory analysis, and modeling
• Applied machine learning experience, including evaluating and contrasting modeling approaches (e.g., classification, ranking, clustering, vector-based methods, and generative AI techniques) based on problem context, data quality, and practical constraints
• Experience with feature design, model evaluation, and interpretation using real, messy datasets
• Experience working with structured and unstructured data sources, including text-heavy datasets and heterogeneous data environments
• Proficiency in SQL and relational data concepts, including joins, aggregation, and performance-aware querying
• Familiarity with cloud platforms such as Azure (or comparable environments) for data storage, compute, and analytical workflows
• Hands-on experience with version control (Git) and collaborative development practices
• Ability to select appropriate tools, analytical approaches, and modeling strategies based on the problem context and available data
• Strong mentorship and coaching skills, including reviewing code and providing feedback to junior team members
• Excellent written and verbal communication skills for both technical and non-technical audiences
• Effective at cross-functional collaboration, coordinating with other teams (IT, DevOps, consulting)
• Ability to translate complex technical concepts into actionable solutions

*Brattle offers a competitive benefits package, base salary, and bonus program for eligible roles based on individual and firm performance. The anticipated base gross salary range for this position in Boston, MA is $125,000 - $135,000 annually. We encourage all applicants to click here to review our full Equal Employer Opportunity Statement. THE EMPLOYER

The Brattle Group answers complex economic, finance, and regulatory questions for corporations, law firms, and governments around the world. We are distinguished by the clarity of our insights and the credibility of our experts, which include leading international academics and industry specialists. Brattle has 500 talented professionals across North America, Europe, and Asia-Pacific. For more information, please visit brattle.com​.​​​​​