Senior Data Science Manager

24 hours ago

Melbourne, Victoria, Australia Bain & Company Inc Full time
About the Role

We are seeking a highly skilled Senior Data Science Manager to join our team at Bain & Company Inc. As a key member of our Advanced Analytics Group, you will be responsible for leading the development of innovative machine learning solutions and driving business growth through data-driven insights.

Key Responsibilities
  • Collaborate with business consulting staff and leaders to assess opportunities and develop data-driven solutions for clients across various sectors.
  • Translate business objectives into data and analytics solutions, and communicate results to stakeholders using appropriate data engineering and data science applications.
  • Partner with engineering and product specialists to support the development of cutting-edge analytics solutions and products.
  • Transform prototype code into optimized, scalable, and production-grade software.
  • Manage the development of reusable frameworks, models, and components.
  • Drive best practices in machine learning engineering and MLOps.
  • Develop relationships with external data and analytics vendors.
  • Provide thought leadership in state-of-the-art machine learning techniques.
  • Develop, deploy, and support industry-leading machine learning solutions to address client problems across industry verticals and business functions.
  • Act as a Professional Development Advisor to a team of 3-5 machine learning engineers.
  • Support AAG leadership in extending and growing our machine learning, engineering, and analytics capabilities.
  • Help develop Advanced Analytics intellectual property and identify areas of new opportunity for data science and analytics for Bain and its clients.
Requirements
  • Advanced degree in a quantitative discipline such as Computer Science, Engineering, Physics, Statistics, Applied Mathematics, etc.
  • 10+ years of software engineering, analytics development, or machine learning engineering experience.
  • 3+ years of experience managing data scientists and ML engineers.
  • Strong understanding of fundamental computer science concepts, software design best practices, software development lifecycle, and common machine learning design patterns.
  • Solid understanding of foundational machine learning concepts and algorithms.
  • Broad experience deploying production-grade machine learning solutions on-premise or in the cloud.
  • Expert knowledge of Python programming and machine learning frameworks (Scikit-learn, Tensor Flow, Keras, Py Torch, etc.).
  • Experience implementing ML automation, MLOps (scalable development to deployment of complex data science workflows), and associated tools (e.g. MLflow, Kubeflow).
  • Experience working in accordance with Dev Sec Ops principles, and familiarity with industry deployment best practices using CI/CD tools and infrastructure as code (e.g. Docker, Kubernetes, Terraform).
  • Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon Sage Maker, Azure ML, Databricks.
  • Familiarity with Agile software development practices.
  • Strong interpersonal and communication skills, including the ability to explain and discuss machine learning concepts with colleagues and clients.
  • Ability to collaborate with people at all levels and with multi-office/region teams.
  • Ability to work without supervision and juggle priorities to thrive in a fast-paced and ambiguous environment while also collaborating as part of a team in complex situations.
Additional Skills
  • Proficiency with core techniques of linear algebra (as relevant for implementation of ML models) and common optimization algorithms.
  • Experience using distributed computing engines, e.g. Dask, Ray, Spark.
  • Experience using big data technologies and distributed computing engines, e.g. HDFS, Spark, Kafka, Cassandra, Solr, Dask.

This is a unique opportunity to join a leading management consulting firm and contribute to the development of cutting-edge machine learning solutions. If you are a motivated and experienced data science professional looking to take your career to the next level, we encourage you to apply for this exciting role.

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