Job description
WHAT MAKES US A GREAT PLACE TO WORKWe 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 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 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, 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 YOU’LL DO
As a member of the growing Analytical Application Engineering team in Bain’s Advanced Analytics Group, 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%)
- Master’s degree in Computer Science, Engineering, or a related technical field
- You think data first, and full stack second, but none of it scares you
- Fluency in one of the following programming languages - Python, Scala, Go, Node.js
- Experience developing data pipelines doesn’t matter if it’s dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or any other
- Experience using Pandas, Dask, Arrow, among others
- Experience of using Cloud - GCP, AWS, Azure or Kubernetes via Terraform automation
- 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 to coordinate with Data Scientists, Machine Learning Engineers and Software Engineers
- Have 2 or more years of experience
ABOUT US
Bain & Company is a global consultancy that helps the world’s 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 today’s 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.
Bain & Company
https://www.bain.com
Boston, MA
Manny Maceda
$5 to $10 billion (USD)
10000+ Employees
Company - Private
Business Consulting
1973