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Job Location: Gurugram, Haryana
Job Detail:
ABOUT US:
Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 61 offices 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. 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.
In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN plays a critical role in supporting Bain’s case teams globally to help with analytics and research across all industries, for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services.
WHO YOU’LL WORK WITH:
- Work closely with our R&D team – BCN Labs – and by extension, different Centers of Excellence (CoEs), to implement cloud-based end-to-end advanced analytics solutions
- Be willing to take on challenging analytical problems and read papers and come up with cutting-edge solutions from across disciplines to solve the same
- Be part of the thought leadership exercise to establish a blue-print for cloud-based deployment of any analytical and/or data-driven solution
- Ensure application performance and scale, maintaining high standards of code quality and thoughtful design
WHAT YOU’LL DO:
- Work on building and deploying advanced analytics solutions, including large-scale data processing, computationally intensive Optimization, Machine Learning and Deep Learning models
- The focus will be on making the deployment sustainable and scalable, as per solution needs
- Work on Parallel-processing of ML solutions, in an optimal manner
- Collaborating with team members to make the solutions as client-ready as possible
- (Good-to-have) Ability to deploy advanced analytics solutions on AWS/Azure
ABOUT YOU:
- Bachelor’s/Master’s degree in Computer Science/Statistics/Operations Research/ any quantitative field with excellent track record, having 2+ years of industry experience
- Hands-on experience in building complex statistical models in some of the following:
- Supervised – Classification, Regression, Time Series forecasting
- Unsupervised – Clustering, Anomaly detection
- Prescriptive analytics – Linear and non-Linear optimization
- Domains/Sectors – Natural Language Processing, CPG/Retail etc.
- Excellent implementation skills in Python and/or R, SQL and (preferably) PySpark
- Well versed in dealing with large datasets and using ML/DL libraries or packages
- Experience in using tools like Git/Github, Docker, K8s etc.
- (Good-to-have) Familiar with Cloud services (AWS) related to AI/ML; particularly Amazon S3, Amazon EC2 Container Service, AWS Lambda, SageMaker
WHAT MAKES US A GREAT PLACE TO WORK:
We are proud to be [1] 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 12 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 [2] diversity and inclusion, women, LGBTQ and parents.
References
Visible links
1. http://www.bain.com/about/what-we-do/awards/index.aspx
2. https://www.bain.com/about/diversity-inclusion/
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