Data Scientist

NPS Prism

Title:

Company Profile:

Position Summary:

Essential Functions:

• Collaborate with Data Engineering, Product and Technology teams on further building analytics architecture
• An experienced data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis
• Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information
• Collaborate with product development and engineering teams
• Create and manage prediction models to generate outputs contributing to marketing insights
• Construct data products for use by various teams in the business
  

Key Responsibilities:

• 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
• Leverage cloud platforms like AWS or Azure for deploying machine learning models and data pipelines (preferred but not mandatory)
• Explore and experiment with Large Language Models (LLMs) and Generative AI solutions as needed
  

Key Requirements:

• Experience: 1.5 to 2 years of hands-on experience in data science or a related role
• Python Expertise: 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
• Machine Learning: Proficient in building and evaluating models, especially regression, decision trees, and random forests
• Version Control: Familiarity with GitHub or other version control systems is a plus
• Cloud Exposure (Preferred): Hands-on experience with AWS or Azure for deploying and managing ML workloads
• Gen AI/ LLM Knowledge (Good to Have): Basic understanding or exposure to generative AI and large language models and prompt engineering
  

Required Qualifications, Experience & Skills

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
  

Experience

• 1.5-2 years' experience in a data science role
  

Skills

• Proficiency with programming using Python
• Proficiency with SQL and relational databases
• Strong analytical skills and a desire to solve complex problems with data
• Experience with data visualization and effectively presenting data and insights
• Strong analytical and problem-solving skills
• A proactive attitude and willingness to learn and adapt to new tools and technologies
  

Preferred Qualifications:

• Cloud Exposure: Hands-on experience with AWS or Azure for deploying and managing ML workloads
• Gen AI/ LLM Knowledge: Basic understanding or exposure to generative AI and large language models and prompt engineering