Data Scientist

We are seeking a talented and motivated Data Scientist to join our team at Fortune 15 Health Insurance Company. As a Data Scientist, you will play a critical role in leveraging data to drive insights and make data-driven decisions that impact the health insurance industry. You will be responsible for conducting data analysis, developing predictive models, and generating actionable insights that will help us optimize our operations, improve customer service, and enhance decision-making processes.

Key Responsibilities:

1. Data Analysis: Utilize Python, R, and SQL to explore and analyze large datasets, extracting valuable insights and trends.
2. Machine Learning and Predictive Modeling: Develop and implement machine learning models to predict health insurance trends, customer behaviors, and claims processing. Collaborate with the team to help develop new machine learning models and refine existing ones.
3. Data Visualization: Create informative and engaging data visualizations and reports to communicate findings and insights to various stakeholders.
4. Data Cleaning and Preprocessing: Prepare and clean data to ensure its accuracy and reliability for analysis and machine learning modeling.
5. Feature Engineering: Identify and engineer relevant features for machine learning and predictive modeling tasks.
6. Collaboration: Collaborate with cross-functional teams, including actuaries, underwriters, and IT, to develop data-driven solutions that improve our health insurance products and services.
7. Model Evaluation: Evaluate the performance of machine learning models and iterate on them to improve accuracy and effectiveness.
8. Documentation: Maintain clear and comprehensive documentation of data analysis, machine learning techniques, and results.
9. Data Security: Ensure compliance with data privacy and security regulations in all data-related tasks.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
• Proven experience as a Data Scientist in the health insurance or healthcare industry is a plus.
• Proficiency in Python, R, and SQL for data analysis, modeling, and manipulation.
• Strong knowledge of machine learning techniques, statistical analysis, and data mining.
• Familiarity with data visualization tools such as Matplotlib, Seaborn, ggplot2, or similar.
• Excellent problem-solving skills and the ability to work independently.
• Effective communication and collaboration skills to work with cross-functional teams.
• Knowledge of health insurance concepts and related data is a strong advantage.
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, or GCP) is a plus.