Data Scientist - Machine Learning Models (1-3 yrs)

NPS Prism

Title : Data Scientist I for Uplift Team

Company Profile :

NPS Prism is a market-leading, cloud-based CX benchmarking and operational improvement platform owned by Bain & Company. Bain & Company is one of the world's leading global business consulting firms, serving clients across six continents. It was founded in 1973 on the principle that consultants must measure their success in terms of their clients' financial results. Bain's clients have outperformed the stock market 4 to 1. With offices in all major cities, Bain has worked with over 4,150 major multinationals and other corporations from every economic sector, in every region of the world. To learn more about the firm, please visit www.bain.com

NPS Prism provides its customers with actionable insights and analysis that guide the creation of game-changing customer experiences. Based on rock-solid sampling, research, and analytic methodology, it lets customers see how they compare to their competitors on overall NPS- , and on every step of the customer journey. With NPS Prism you can see where you're strong, where you lag, and how customers feel about doing business with you and your competitors, in their own words. The result: Prioritize the customer interactions that matter most. Use NPS benchmarks to propel your growth and outpace the competition. To learn more about the firm, please visit www.npsprism.com/

Launched in 2019, NPS Prism has rapidly grown to a team of over 200, serving dozens of clients around the world. NPS Prism is 100% owned by Bain & Company, one of the top management consulting firms in the world and a company consistently recognized as one of the world's best places to work. 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 professionally and personally.

Position Summary :

We are looking for an entry-level candidate to join our Data Science team, focusing on machine learning, statistics, and Python. The ideal candidate will possess a solid foundation in Python, object-oriented programming (OOP), and machine learning, with a demonstrated ability to deploy applications. Additionally, the candidate should be adept at debugging code, understanding the logic behind each step, and providing clear justifications to ensure the accuracy and effectiveness of implementations.

Key Responsibilities :

- Proficient in debugging, analyzing code and data flow, and optimizing code for improved performance.

- Implement machine learning models with a focus on regression, classification, and clustering techniques.

- Engage in code reviews and actively contribute to the enhancement of our ML infrastructure and best practices.

- Ensure that solutions are scalable and robust for successful deployment in production environments.

- Conduct research and stay current with the latest advancements in structured data modeling.

Qualifications :

Education :

- Bachelor's or master's degree in computer science, data science, statistics, or a closely related field

Experience :

- 1 to 3 years of experience in data science, specializing in ML methods like regression and classification, and unsupervised machine learning techniques.

Skills :

- Extensive experience with Machine Learning frameworks and libraries like pandas, scikit learn, xgboost, svm, tensorflow and keras (Must Have Skills)

- In-depth understanding of Machine Learning architectures, training methodologies, and fine-tuning techniques. (Must Have Skills)

- Proficiency in Python, OOPs concepts for writing optimized codes (Must Have Skills)

- Possess foundational knowledge of statistics. (Must Have Skills)

- Exceptional problem-solving skills with a strong ability to collaborate effectively and maintain close coordination with supervisors.

Preferred Qualifications :

- Experience with cloud computing platforms such as Azure, Google Cloud Platform (GCP), or Amazon Web Services (AWS). (Good to Have Skills)

- Familiarity with Azure Blob Storage, Azure Tables, Azure Functions, and Logic Apps is a plus. (Good to Have Skills)