Lead, Full-Stack Data Scientist

Bain & Company is hiring a Lead, Full-Stack Data Scientist for its Data Science & Machine Learning Engineering team. The role designs, develops, and deploys data science and AI solutions for client and internal needs, collaborating with consulting and engineering teams to address business challenges.

Responsibilities

• Develop data, technology and AI solutions, leveraging a spectrum of techniques including data science, machine learning, AI algorithms to address large-scale enterprise challenges and enable production systems
• Develop and maintain long-lasting models, algorithms, and tools that support internal or client needs
• Collaborate closely with and influence general consulting teams to identify analytics solutions for client business problems and to execute those solutions
• Leverage AI tools with guardrails to accelerate and amplify design, development and implementation phases across the life cycle
• Evaluate where generative AI offers a better path to a client solution, and apply techniques such as prompt engineering, retrieval-augmented generation, and model fine-tuning where appropriate
• Collaborate with technology leaders to develop and advocate for cutting-edge data science concepts to both technical audiences and business stakeholders
• Collaborate with data engineers to ensure data pipelines and platforms support modeling, experimentation, and analytics use cases
• Support data transformations at scale, including cleaning, enriching, de-duping, joining, and correlating structured, semi-structured, or unstructured data for modeling and analysis
• Define and implement new and innovative modeling techniques, experimentation strategies, and analytics workflows within Bain's full model development life cycle, including documentation, unit/integration testing, and reviews
• Support model deployment and operationalization in collaboration with engineering teams, ensuring scalable data science solutions
• Communicate clearly with technical and non-technical stakeholders; lead working sessions, present recommendations, and write crisp technical documentation
• Collaborate with client data engineering and analytics teams and, when needed, contribute to data acquisition, extraction, and preparation to ensure data is fit for modeling and analysis
• Establish and promote best practices for model development, documentation, and reuse, enabling scalable and repeatable approaches across industries and use cases
• Help prioritize and scope data science initiatives by translating complex client business problems into actionable projects with clear execution paths
• Provide technical guidance to external clients and internal stakeholders at Bain
• Contribute to industry-leading innovations that translate into meaningful impact for clients in casework
• Stay current with emerging trends and technologies in data science, and proactively identify opportunities to enhance the capabilities of the analytics platform

Skills

• A strong generalist background with proficiency across core data science methods, including forecasting, statistical modeling, optimization modeling and machine learning
• An interest in applying your expertise across a wide array of industries and problems
• Strong experience working in common data science query and programming languages (Python required, at least working knowledge of SQL)
• Hands-on experience with at least two of the following problem types, with breadth of experience across associated tools and techniques
• Experience building and evaluating LLM-based applications, including prompt optimization
• Experience in AI-native delivery, such as using AI-assisted coding tools to accelerate modeling work, generate and test hypotheses, and prototype analytical approaches
• Hands-on experience collaborating with engineering teams to take models into production
• Experience working in agile, cross-functional team environments
• Strong interpersonal and communication skills, including the ability to discuss technicalities of solutions, algorithms, and techniques with colleagues and clients
• Curiosity, proactivity, and critical thinking
• Ability to collaborate with people at all levels and with multi-office/region teams
• Strong stakeholder management skills, with both internal leadership and with clients
• Proven ability to operate in ambiguity and complexity, manage priorities, and deliver outcomes independently or with a collaborative team
• Advanced degree in Data Science, Computer Science, Mathematics, Engineering, Econometrics, Statistics or Information Sciences
• 3+ years of experience in advanced analytics or related field
• Working knowledge of Bayesian methods
• Experience deploying ML models using containerization (Docker, Kubernetes, Terraform) and MLOps tooling such as MLflow and GitHub Actions
• Experience managing data workflows and pipelines for modeling
• Working knowledge of SQL or NoSQL databases (e.g., PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Snowflake, or similar)
• Experience scaling model training and inference on large datasets, and optimizing pipelines for performance in production environments
• Experience with building complete web apps using coding assistants
• Experience building agentic harnesses and orchestration of agentic processes
• PhD is a plus

Benefits

• Annual discretionary performance bonus
• 4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date
• Bain & Company's comprehensive benefits and wellness program
• Bain pays 100% of individual employee premiums for medical, dental and vision programs
• Generous paid time off, including parental leave, sick leave and paid holidays
• Paid Life and Long-Term Disability insurance
• Annual fitness reimbursements

Company Overview

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