*Applications must be submitted in English*

ABOUT US

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

Across 65 cities in 40 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. We earned a platinum rating from EcoVadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 1% of all companies. 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.

WHO YOULL 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 YOULL DO

We are looking for a Senior Analytics Application Engineer to join Bains 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 solutions

Develop and maintain long-lasting products that support internal or client needs

Partner with Data Science, Machine Learning, and Platform Engineering teams to develop and deploy production quality code

Develop and champion modern Data Engineering concepts to technical audiences and business stakeholders

Implement 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


Masters degree in Computer Science, Engineering, or a related technical field is a plus

4+ years of experience

You think data first, and full stack second, but none of it scares you

Competency in a number of programming languages Python, Go, Node.js, Java, etc.

Strong knowledge in designing API interfaces

Experience with client-side technologies such as React, Angular, Vue.js, HTML and CSS

Experience with server-side technologies such as Node.js, FastAPI, Django, Flas,

Experience with Cloud platforms and services (AWS, Azure, GCP, Kubernetes) via Terraform Automation

Experience with the implementation of large-scale structured or unstructured databases, orchestration and container technologies such as Docker or Kubernetes

Experience developing data pipelines

Experience with ETLs - doesnt matter if its dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or any other

Experience using Pandas, Dask, Arrow, among others

Use Git as your main tool for versioning and collaborating

Experience with DevOps, CI/CD, Github Actions

Exposure to LLMs, Prompt engineering, Langchain a plus

Strong interpersonal and communication skills

Curiosity, 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 performance

Knowledge of data architecture, database schema design and database scalability

Agile development methodologies


We are interested in you working with an interdisciplinary team where youll 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 dont know what its going to evolve into), building production software or taking charge, of the continuous improvement of an ongoing product.

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 Glassdoors 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.