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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead, Data Scientist - **Company:** Bain & Company - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Big Data, Cloud Computing, Information Engineering, Data Structures, Elasticsearch, Github, Apache HBase, Apache Hive, Information Sciences, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, MongoDB, MySQL, Natural Language Processing, NoSQL, Object-Oriented Software Development, Oracle (Applications), Redis, Standard Sql, Software Systems, Teradata SQL, Unstructured Data, Reinforcement Learning, Google Cloud, Snowflake, Apache Spark, Integration Tests, Information Technology, Cassandra, Apache Nifi, Data Management, Machine Learning Operations, Terraform, Data Pipelines, Docker, Amazon Redshift - **Published:** September 27, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pmvyi3tmcl ## About the Role * Advanced degree in Computer Science, Engineering, Econometrics, Statistics or Information Sciences * PhD is a plus Experience * 5 years minimum experience * 3+ years of experience in analytics Knowledge, Skills and Abilities: Required * Proficiency in Python with knowledge of data structures, algorithms, object-oriented design, testing and scalable code for machine learning workflows * Experience deploying ML models using containerization using Docker, Terraform, and MLOps tools like MLflow and GitHub Actions * Proficient in managing data workflows and pipelines for modeling (Airflow, Beam, Luigy, Spark, Nifi or any other) * Working knowledge of SQL or NoSQL databases: PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Hive, HBase, Teradata, Cassandra, Amazon Redshift, Snowflake * Experience with Cloud platforms and services (AWS, Azure, GCP, etc.) * Experience scaling model training and inference on large datasets, and optimizing pipelines for performance in production environments * Strong foundation in machine learning and deep learning, including supervised, unsupervised, reinforcement learning, NLP, and modern architecture * Experience working according to agile principles * Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplines * Curiosity, proactivity and critical thinking * Ability to collaborate with people at all levels and with multi-office/region team * Professional knowledge of English and German is required ## Description As a Lead Data Scientist, you will leverage your experience to design, implement and refine advanced analytical and machine learning solutions across a wide range of industries. You will engage in the entire data science life cycle, focusing on developing and deploying impactful models and data-driven strategies at a production scale suitable for the world's largest companies., * Develop data science and software solutions to address large-scale enterprise challenges for Bain's clients, serving as the data scientist and expert within a cross-functional team * 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 * Collaborate with data science leaders to develop and advocate for modern data science concepts to both technical audiences and business stakeholders * Collaborate with data engineering team to ensure data pipelines and platforms support modeling, experimentation and analytics use cases * Transformations at scale, including cleaning, enriching, de-duping, joining, and correlated on 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 full model development life cycle, including writing documentation, and unit/integration tests, and conducting reviews * Support model deployment and operationalization in collaboration with engineering teams ensuring scalable data science solutions * Collaborate with 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 in Bain * Contribute to industry-leading innovations that translate into great 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 ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) ## Related Articles - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany) - [Backend Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/196-backend-developer-salary-in-germany-2023) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Software Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/194-software-developer-salary-in-germany-2023)