Senior Data Science Manager

hace 7 días

Monterrey, Nuevo León, México Bain & Company A tiempo completo

Bain & Company seeks a highly skilled Senior Data Science Manager to lead our Advanced Analytics Group.

About the Role:

This is a challenging opportunity for an experienced professional to join our team and drive innovation in machine learning engineering. The successful candidate will be responsible for providing technical leadership for end-to-end technical solution delivery on client cases, advising client executives on topics in ML engineering and roadmap design, and developing statistical/ML models to be handed over to clients as prototype or production software.

Key Responsibilities:

  • Work with general consulting teams to understand ML aspects of business problems, and appropriately prioritize and execute.
  • Provide technical leadership for end-to-end technical solution delivery on client cases (from solution architecture to hands-on development work).
  • Advise client executives on topics in ML engineering and roadmap design.
  • Develop statistical/ML models to be handed over to clients as prototype or production software.
  • Write, test, deploy and maintain machine learning code across the full software development lifecycle.
  • Codify client work into repeatable software toolkits and solutions.
  • Regularly demonstrate code to other team members.
  • Peer-review code contributions by other team members.
  • Collaborate on (or lead) the development of re-usable common frameworks, model and components that can be highly leveraged to address common ML engineering problems across industries and business functions.
  • Drive best demonstrated practices in software engineering, and share learnings with team members in AAG about theoretical and technical developments in ML engineering.
  • Work with the team and other senior leaders to create a great working environment that attracts other great ML engineers.
  • Act as PD Advisor as needed.
  • Participate in recruiting and onboarding for other team members.

About You:

  • 7+ years of engineering experience.
  • 1+ years of experience managing data scientists/machine learning engineers.
  • Expert knowledge of Python and SQL.
  • Proficiency in one or more of R, Java, C++, Scala, Go, Julia.
  • Strong track record of implementing statistical and machine learning models, deploying these, and maintaining them in production environments.
  • Strong understanding of fundamental computer science concepts, particularly data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance.
  • Solid understanding of foundational concepts and algorithms in statistics and machine learning, including linear/logistic regression, SVM, random forest, boosting, neural networks, dimensionality reduction, reinforcement learning, etc.
  • Broad experience of machine learning frameworks and tools (e.g. Pandas, numpy, scikit-learn, TensorFlow, Pytorch, Keras, Huggingface).
  • Understanding of probabilistic programming techniques and associated tools (e.g. Pyro, Stan, Tensorflow Probability, PyMC3), Bayesian inference and MCMC methods.
  • Experience using, designing and developing microservices and associated APIs, with a thorough understanding of REST, GraphQL, gRPC.
  • Understanding of data security and privacy regulations, key topics in cybersecurity, authentication and authorization mechanisms (including cloud IAM).
  • Experience with MLOps (scalable development to deployment of complex data science workflows) and associated tools, e.g. MLflow, Kubeflow.
  • Experience working in accordance with DevSecOps principles, and familiarity with industry deployment best practices using CI/CD tools and infrastructure as code (Jenkins, Docker, Kubernetes, and Terraform, Containers, Git).
  • Experience with cloud platforms (e.g. AWS, GCP, Azure, Databricks, etc.) and associated machine learning products, e.g. Amazon SageMaker, Azure ML.
  • Experience in big data technologies, e.g. Hadoop, BigQuery, MapReduce, Apache Spark.
  • Experience working according to agile principles.
  • Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of ML algorithms and techniques with colleagues and clients from other disciplines.
  • Ability to work independently and juggle priorities to thrive in a fast paced and ambiguous environment, while also collaborating as part of a team in complex situations.

What We Offer:

  • An estimated annual salary of $250,000.
  • A comprehensive benefits package, including health insurance, retirement savings plan, and paid time off.
  • The opportunity to work with a diverse and inclusive team of professionals who are passionate about delivering exceptional results.
  • A collaborative and supportive work environment that fosters creativity and continuous learning.

How to Apply:

Please submit your application, including your resume and cover letter, to Bain & Company's website.

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