Description & Requirements

*Applications must be submitted in English*

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 13 years. We believe that diversity, inclusion and collaboration is 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.  We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

WHO YOU’LL WORK WITH

Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science and 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, and academia.

WHAT YOU’LL DO

We are looking for a Senior Analytics Application Engineer to join Bain’s Advanced Analytics Group (AAG).  As part of AAG, you will work with other members of AAG and Bain Generalist Consultants to build robust software solutions that solve our clients’ most important problems. As a member of the growing Analytical Application Engineering team, you will:

Work with consulting teams on short-term projects which involve developing data solutionsDevelop and maintain long-lasting products that support internal or client needsPartner with Data Science, Machine Learning, and Platform Engineering teams to develop and deploy production quality codeDevelop and champion modern Data Engineering concepts to technical audiences and business stakeholdersImplement new and innovative deployment techniques, tooling, and infrastructure automation within Bain and our clients.Travel is required (30%) 

At Bain, we work with leading companies innovating with data, often involving building digital products.

Many times, in the early stages of experimentation, we have to develop immature digital products as proofs of concept. Those can go from deploying a micro service with a predictive model, to quickly implementing a new component and A/B testing on a production app with millions of users.

When any of those tests show potential value, we need to scale them up and help the team capture that unlocked value. Sometimes, this means transforming an immature digital product into a stable, usable, and resilient one that delivers a great UX.

For all that, we are searching for innovative and fresh minds that want to join us to create elegant yet practical solutions to deal with the most challenging problems.

ABOUT YOU

Master’s degree in Computer Science, Engineering, or a related technical field is a plus4+ years of experienceYou think data first, and full stack second, but none of it scares youCompetency in a number of programming languages – Python, Go, Node.js, Java, etc.Strong knowledge in designing API interfacesExperience with client-side technologies such as React, Angular, Vue.js, HTML and CSSExperience with server-side technologies such as Node.js, FastAPI, Django, Flas, Experience with Cloud platforms and services (AWS, Azure, GCP, Kubernetes) via Terraform AutomationExperience with the implementation of large-scale structured or unstructured databases, orchestration and container technologies such as Docker or KubernetesExperience developing data pipelinesExperience with ETLs - doesn’t matter if it’s dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or any otherExperience using Pandas, Dask, Arrow, among othersUse Git as your main tool for versioning and collaboratingExperience with DevOps, CI/CD, Github ActionsExposure to LLMs, Prompt engineering, Langchain a plusStrong interpersonal and communication skillsCuriosity, proactivity and critical thinking Strong computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performanceKnowledge of data architecture, database schema design and database scalabilityAgile development methodologies

We are interested in you working with an interdisciplinary team where you’ll lead and code all aspects of analytical applications and data engineering. Also, we need you to feel comfortable at every stage of a project: whether you are putting together a prototype of a crazy idea (that we don’t know what it’s going to evolve into), building production software or taking charge, of the continuous improvement of an ongoing product.