Lead, Full-Stack Data Scientist

Bain & Co.; Dallas (TX); On-site; USD 173,000 - 197,000; Full time

Benefits offered by this job

Annual discretionary bonus

401(k) plan with employer contribution

Best-in-class benefits package

Fully paid premiums for medical,Dental

Job summary

Bain & Co. in Dallas, TX is seeking a Lead Full-Stack Data Scientist to design, implement, and refine algorithms that turn multi-modal data into actionable insights and deploy models into production systems.

You will partner with consulting, engineering, and client stakeholders to deliver end-to-end data science and AI solutions. The role requires a strong data science foundation, experience with Python and SQL, and a track record of moving models to production in agile, cross-functional teams.

Qualifications

• Strong generalist foundation across forecasting, statistical modeling, optimization modeling, and machine learning.
• Experience with Python and SQL in production environments.
• Experience building and evaluating LLM-based applications and AI-native delivery.
• Ability to collaborate with engineering teams to bring models into production.

Responsibilities

• Develop data, technology, and AI solutions for large-scale enterprise challenges.
• Maintain models, algorithms, and tools for internal and client needs.
• Collaborate with consulting teams to identify analytics solutions.

Skills

Python

SQL

LLM-based apps

Model deployment

Prompt engineering

Data pipelines

Education

Advanced degree in Data Science/CS/Math/Engineering

Tools

Docker

Kubernetes

Terraform

MLflow

GitHub Actions

PostgreSQL

SQL Server

Oracle

MySQL

Redis

Job description

In this Lead, Full-Stack Data Scientist role at Bain & Co. (onsite in Dallas, TX), you will design, implement, and refine algorithms that turn multi-modal data into actionable insights, then deploy models into production systems. You will also help drive end-to-end delivery of data science and AI solutions in collaboration with consulting, engineering, and client stakeholders.

Responsibilities

• Develop data, technology, and AI solutions using data science, machine learning, and AI algorithms to address large-scale enterprise challenges and enable production systems.
• Develop and maintain long-lasting models, algorithms, and tools to support internal and client needs.
• Partner with general consulting teams to identify analytics solutions for client business problems and to execute those solutions.
• Use AI tools with guardrails to accelerate and enhance design, development, and implementation across the model and AI life cycle.
• Assess where generative AI is a better fit for client outcomes, and apply prompt engineering, retrieval-augmented generation, and model fine-tuning when appropriate.
• Collaborate with technology leaders to advocate for and advance data science concepts with both technical audiences and business stakeholders.
• Work with data engineers to ensure data pipelines and platforms support modeling, experimentation, and analytics use cases.
• Support large-scale data transformations including cleaning, enriching, de-duping, joining, and correlating structured, semi-structured, and unstructured data.
• Define and implement new 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 with engineering teams to deliver scalable data science solutions.
• Communicate clearly with technical and non-technical stakeholders by leading working sessions, presenting recommendations, and writing concise technical documentation.
• Collaborate with client data engineering and analytics teams, and 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 to enable scalable and repeatable approaches across industries and use cases.
• Help prioritize and scope data science initiatives by translating complex business problems into actionable project plans with clear execution paths.
• Provide technical guidance to external clients and internal stakeholders at Bain.
• Contribute to industry-leading innovations that create meaningful impact for clients in casework.
• Stay current with emerging data science trends and technologies, proactively identifying opportunities to enhance analytics platform capabilities.

What You Will Work On

• Design, implement, and refine algorithms to extract and apply actionable information from multi-modal data across a range of industries and business problems.
• Develop and deploy analytical and machine learning models that support production systems such as dynamic personalization and pricing engines, predictive maintenance, and always-on forecasting and optimization capabilities.
• Collaborate with major AI ecosystem partners through Bain’s partnerships to support real client deployments and influence how emerging capabilities are applied in enterprise settings.

Requirements

• Strong generalist foundation across core data science methods, including forecasting, statistical modeling, optimization modeling, and machine learning.
• Interest in applying expertise across a wide array of industries and problem types.
• Experience with common data science query and programming languages: Python required, with at least working knowledge of SQL.
• Hands-on experience with at least two problem types, with breadth across associated tools and techniques:
  • Marketing 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 optimization.
• Experience with AI-native delivery, including using AI-assisted coding tools to accelerate modeling, generate and test hypotheses, and prototype analytical approaches.
• Hands-on experience collaborating with engineering teams to bring models into production.
• Experience working in agile, cross-functional team environments.
• Strong interpersonal and communication skills, including the ability to explain solution details, algorithms, and techniques to colleagues and clients.
• Curiosity, proactivity, and critical thinking.
• Ability to collaborate across multi-office or region teams and at all levels.
• Strong stakeholder management skills with internal leadership and clients.
• Proven ability to operate in ambiguity and complexity, manage priorities, and deliver outcomes independently or with a team.
• Advanced degree in Data Science, Computer Science, Mathematics, Engineering, Econometrics, Statistics, or Information Sciences.
• 3+ years of experience in advanced analytics or a related field.

Technologies

Python, SQL, prompt engineering, retrieval-augmented generation, model fine-tuning, LLM-based applications, Bayesian regression, causal inference, adstock/saturation modeling, econometrics, optimization, clustering, recommendation systems, experimentation, bandits, time series, hierarchical forecasting, survival analysis, anomaly detection, sensor time series, AI-assisted coding tools, Docker, Kubernetes, Terraform, MLflow, GitHub Actions, PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Snowflake.

Benefits

• Annual discretionary performance bonus.
• 401(k) plan with an annual employer contribution based on years of service.
• Bain’s best in class benefits package (details listed below).
• Bain pays 100% individual employee premiums for medical, dental and vision programs.
• 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 reimbursements.
• This role may also be eligible for other elements of discretionary compensation.

Team and Practice

You will join the Data Science & Machine Learning Engineering experts within the Applied Technology & AI team. This team operates within Bain’s digital capabilities practice, working alongside experts in analytics, engineering, product management, and design. You will collaborate with general consultants and clients on integrated teams to develop data-driven strategies and innovative solutions.

Work Location and Schedule

• Onsite in Dallas, TX.
• 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 or primary working location; frequency and destination vary by project needs.

Compensation

• Estimated annual salary range: USD 173,250 - 197,300 per year (yearly).
• Compensation includes base salary, annual discretionary performance bonus, and a 401(k) plan with annual employer contribution based on years of service, plus Bain’s best in class benefits package (details listed below).
• 4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date.
• Additional information: estimated annualized full-time salary is $197,300 in New York City, California, Washington State, and Washington D.C.; $173,250 in Illinois, Georgia, Massachusetts, and Texas. For other locations, the range is commensurate with competitive geographic market rates and varies based on experience, education, licensure/certifications, training, and skill level.