Senior Data Scientist

Boston, MAHybridFull Time$160k - $190kJob Description Full-time opportunity for a Senior Data Scientist to join a premier economics, technology, and strategy consulting firm. This role focuses on applying advanced analytics, machine learning, and AI technologies to solve complex business, regulatory, litigation, and policy challenges involving emerging technologies, cybersecurity, competition, and digital platforms. This is a highly visible role for an experienced data scientist who wants to work on some of the most challenging and impactful analytical problems in the market. You'll partner with economists, strategists, legal experts, and technologists to transform complex datasets into defensible insights that influence business strategy, regulatory outcomes, and high-profile litigation matters. The role offers the opportunity to build cutting-edge AI and machine learning solutions while helping shape the firm's growing data science and AI capabilities.Required Skills & Experience• Master's or PhD in Computer Science, Engineering, Statistics, Applied Mathematics, or a related technical field

• 6+ years of professional experience in Data Science, Machine Learning, or Applied Analytics
• 2+ years of experience working within the GCC region
• Strong expertise in AI/ML, NLP, statistical modeling, and advanced analytics
• Proficiency in Python, R, and SQL
• Experience with modern machine learning frameworks including PyTorch, TensorFlow, scikit-learn, Hugging Face, and OpenAI APIs
• Experience with cloud platforms such as AWS, GCP, or Azure
• Experience working with scalable data technologies including Airflow, dbt, Spark, BigQuery, and Snowflake
• Strong communication skills with the ability to explain complex findings to technical and non-technical audiences
• Proven leadership experience managing projects and mentoring technical teamsDesired Skills & Experience• Experience applying AI and machine learning within regulated industries
• Experience supporting litigation, regulatory, risk, cybersecurity, or economic analysis initiatives
• Familiarity with large language models, generative AI, and agentic systems
• Experience working in consulting or professional services environments
• Experience building reusable analytical frameworks and internal tooling
• Strong interest in emerging technology policy and digital regulationWhat You Will Be DoingTech Breakdown• 40% Machine Learning & AI Development
• 25% Statistical Analysis & Modeling
• 20% Data Engineering & Cloud Infrastructure
• 15% Client Advisory & ResearchDaily Responsibilities• 70% Hands On
• 10% Mentorship & Technical Leadership
• 20% Team Collaboration• Design and deploy advanced analytical models and machine learning solutions
• Build, evaluate, and operationalize machine learning and LLM-based systems
• Develop scalable analytical pipelines and data workflows
• Apply statistical, econometric, and machine learning techniques to complex business problems
• Partner with consultants, economists, and legal experts to translate technical findings into actionable recommendations
• Serve as a technical advisor on AI, cybersecurity, and digital transformation engagements
• Mentor junior data scientists and engineers on modeling, experimentation, and engineering best practices
• Contribute to the development of internal tools, frameworks, and reusable analytical assets
• Present analytical findings to both technical and executive audiences
• Participate in thought leadership and knowledge-sharing initiatives across the firm's AI and data science communityThe OfferCompetitive salary plus annual discretionary bonusYou will receive the following benefits:• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• Pension Contributions
• Annual Bonus Opportunity
• Professional Development OpportunitiesApplicants must be currently authorized to work in the applicable region on a full-time basis now and in the future.