Lead, Full-Stack Data Scientist

General Information Job Title Lead, Full-Stack Data Scientist Job ID 112255 Work Areas Technology & Engineering Employment Type Permanent Full-Time Location(s) Atlanta, Austin, Boston, Chicago, Dallas, Houston, Los Angeles, New York, San Francisco, Seattle, Silicon Valley, Washington DC Description & Requirements WHAT MAKES US A GREAT PLACE TO WORKWe are proud to be consistently recognized as one of the world's best places to work. We are currently the top-ranked consulting firm on Glassdoor's Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don't happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.WHO YOU'LL WORK WITHYou'll join our Data Science & Machine Learning Engineering experts within the Applied Technology & AI team. This team is part of Bain's digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You'll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.THE ROLEAs a Lead, Full-Stack Data Scientist, you will leverage your experience to design, implement and refine algorithms to extract and use actionable information from multi-modal data across a wide range of industries and business problems. You bring a strong generalist foundation across core data science methods (e.g., statistics, forecasting, optimization, and machine learning) that lets you move fluidly across problem types rather than specializing narrowly in one. You’ll develop and deploy analytical and machine learning models that power production systems such as dynamic personalization and pricing engines, predictive maintenance and always-on forecasting and optimization capabilities.You will have opportunities to work with major AI ecosystem partners through Bain’s partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in enterprise settings.Bain offers significant learning and growth opportunities through the breadth and depth of problems we solve, the level of impact we help clients achieve, and our apprenticeship model. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time.WHAT YOU’LL DODevelop 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 systemsDevelop and maintain long-lasting models, algorithms, and tools that support internal or client needsCollaborate closely with and influence general consulting teams to identify analytics solutions for client business problems and to execute those solutionsLeverage AI tools with guardrails to accelerate and amplify design, development and implementation phases across the life cycleEvaluate 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 appropriateCollaborate with technology leaders to develop and advocate for cutting-edge data science concepts to both technical audiences and business stakeholdersCollaborate with data engineers to ensure data pipelines and platforms support modeling, experimentation, and analytics use casesSupport data transformations at scale, including cleaning, enriching, de-duping, joining, and correlating structured, semi-structured, or unstructured data for modeling and analysisDefine 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 reviewsSupport model deployment and operationalization in collaboration with engineering teams, ensuring scalable data science solutionsCommunicate clearly with technical and non-technical stakeholders; lead working sessions, present recommendations, and write crisp technical documentationCollaborate 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 analysisEstablish and promote best practices for model development, documentation, and reuse, enabling scalable and repeatable approaches across industries and use casesHelp prioritize and scope data science initiatives by translating complex client business problems into actionable projects with clear execution pathsProvide technical guidance to external clients and internal stakeholders at BainContribute to industry-leading innovations that translate into meaningful impact for clients in caseworkStay current with emerging trends and technologies in data science, and proactively identify opportunities to enhance the capabilities of the analytics platformABOUT YOURequired:A strong generalist background with proficiency across core data science methods, including forecasting, statistical modeling, optimization modeling and machine learningAn interest in applying your expertise across a wide array of industries and problemsStrong 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 techniquesMarketing mix modeling (Bayesian regression, causal inference, adstock/saturation modeling)Price elasticity and optimization (econometrics, causal inference, optimization)Segmentation and personalization (clustering, recommendation systems, experimentation, bandits)Supply chain / OR (optimization, simulation)Demand forecasting (time series, hierarchical forecasting, ML)Predictive maintenance (survival analysis, anomaly detection, sensor time series)Experience building and evaluating LLM-based applications, including prompt optimizationExperience in AI-native delivery, such as using AI-assisted coding tools to accelerate modeling work, generate and test hypotheses, and prototype analytical approachesHands-on experience collaborating with engineering teams to take models into productionExperience 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 clientsCuriosity, proactivity, and critical thinkingAbility to collaborate with people at all levels and with multi-office/region teamsStrong stakeholder management skills, with both internal leadership and with clientsProven ability to operate in ambiguity and complexity, manage priorities, and deliver outcomes independently or with a collaborative teamAdvanced degree in Data Science, Computer Science, Mathematics, Engineering, Econometrics, Statistics or Information Sciences3+ years of experience in advanced analytics or related fieldPreferred (non-requisite)Working knowledge of Bayesian methods Experience deploying ML models using containerization (Docker, Kubernetes, Terraform) and MLOps tooling such as MLflow and GitHub ActionsExperience 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 environmentsExperience with building complete web apps using coding assistantsExperience building agentic harnesses and orchestration of agentic processesPhD is a plusThis role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office.Travel is required beyond your home office / primary working location. Frequency and destination vary by project needs.U.S. COMPENSATION INFORMATIONCompensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain’s best in class benefits package (details listed below).  Some local governments in the United States require a good-faith, reasonable salary range be included in job postings for open roles. The estimated annualized compensation for this role is as follows: In New York City, California, Washington State, and Washington D.C, the good-faith, reasonable annualized full-time salary for this role is $197,300; In the state of Illinois, Georgia, Massachusetts, and Texas, the good-faith, reasonable annualized full-time salary for this role is $173,250. Placement within these ranges will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level For all other locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level.   Annual discretionary performance bonus  This role may also be eligible for other elements of discretionary compensation 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 is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family. Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck Generous paid time off, including parental leave, sick leave and paid holidays Fully vested 401(k) company contribution Paid Life and Long-Term Disability insurance Annual fitness reimbursementsIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability Go back