Data Scientist - EKPI & Uplift

NPS Prism

Title: Data Scientist I

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 worlds 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. Bains 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.

• Write clean, efficient, and optimized Python code for ETL, data processing, modeling, analysis, and exception handling.

• Develop and implement machine learning models such as regression, decision trees, and random forests to solve business problems.

• Utilize version control systems like GitHub for code collaboration and project management.

• Work on end-to-end data science projects, including data preprocessing, feature engineering, and model evaluation.

• Collaborate with cross-functional teams to identify and address data-related challenges.

• 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.

• Leverage cloud platforms like AWS or Azure for deploying machine learning models and data pipelines (good to have).

• Explore and experiment with Large Language Models (LLMs) and Generative AI solutions as needed (good to have).

Qualifications:

Education:

• Bachelors or masters degree in computer science, data science, mathematics, statistics, or a closely related field.

Experience:

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

Skills:

• Python Expertise (Must Have Skills): Strong coding skills with a focus on logical thinking, efficiency, and optimization. Strong understanding and experience in Object-Oriented Programming (OOP) principles and practices. Proficient in designing and implementing classes, objects, and methods in an OOP language. Proficiency in Python, OOPs concepts for writing optimized codes

• Machine Learning (Must Have Skills): Proficient in building and evaluating models, especially regression, decision trees, and random forests, clustering and statistical tests. In-depth understanding of Machine Learning architectures, training methodologies, and fine-tuning techniques. Extensive experience with Machine Learning frameworks and libraries like pandas, scikit learn, xgboost, svm, tensorflow and keras.

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

• Strong analytical and problem-solving skills.

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

• A proactive attitude and willingness to learn and adapt to new tools and technologies.

Preferred Skills:

• Version Control (Good to Have Skills): Familiarity with GitHub or other version control systems is a plus.

• Cloud Exposure (Good to Have Skills): Hands-on experience with AWS or Azure for deploying and managing ML workloads. 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)

• Gen AI/ LLM Knowledge (Good to Have Skills): Basic understanding or exposure to generative AI and large language models and prompt engineering.