WHAT MAKES US A GREAT PLACE TO WORK



We are proud to beconsistently recognizedas one of the world's best places to work, a champion of diversity and a model of social responsibility. We are a Glassdoor Best Place to Work and we have maintained a spot in the top four since its founding in 2009. We believe that diversity, inclusion and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally.



WHO YOULL WORK WITH



Working alongside our generalist consultants, Bain'sAdvanced Analytics Group(AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering. Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.



WHAT YOULL DO



As a member of the growing Data Science and Machine Learning (ML) Engineering team in Bains Advanced Analytics Group, you will:



Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop data-driven solutions for Bain clients across a variety of sectors

Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applications

Partner closely with other engineering and product specialists at Bain to support development of innovative analytics solutions and products

Transform existing prototype code into optimized scalable, production-grade software

Manage the development of re-usable frameworks, models and components

Drive best practices in machine learning engineering and MLOps

Develop relationships with external data and analytics vendors

Provide thought championing in state-of-the-art machine-learning techniques

Develop, deploy and support industry-leading machine learning solutions, aimed at solving client problems across industry verticals and business functions

Act as 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

Travel is required (30%)

Consideration will be given to individuals with a specialization in NLP or Computer Vision





ABOUT YOU




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, TensorFlow, Keras, PyTorch, 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 DevSecOps 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 SageMaker, 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





ABOUT US

Bain & Company is a global consultancy that helps the worlds most ambitious change makers define the future.

Across 64 cities in 39 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling todays urgent challenges in education, racial equity, social justice, economic development, and the environment. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.