Data Scientist (Healthcare)

Position: Data Scientist-Open Position-CA
Type: contract
Duration: 12 months
Location: Pasadena, CA

Overview

We are looking for a highly analytical and results-driven Data Scientist with strong expertise in Machine Learning, statistical analysis, and data management. The ideal candidate should possess hands-on experience with Python, SAS, R, and SQL, along with strong problem-solving and communication skills.

Responsibilities

• Develop and implement Machine Learning models for predictive analytics and business solutions.
• Perform traditional statistical analysis using SAS and R.
• Utilize Python for data analysis, model development, automation, and data processing.
• Write and optimize SQL queries for data extraction, transformation, validation, and reporting.
• Analyze large datasets to identify trends, patterns, and actionable insights.
• Build statistical models and perform hypothesis testing, regression analysis, and forecasting.
• Collaborate with business stakeholders and technical teams to understand analytical requirements.
• Ensure data quality, integrity, and consistency across systems.
• Prepare reports, dashboards, and presentations to communicate findings effectively.
• Document analytical methodologies, models, and processes.

Required Skills

• Strong experience in Machine Learning algorithms and predictive modeling.
• Proficiency in Python for data science and analytics.
• Solid statistical analysis experience using SAS and R.
• Strong SQL and data management skills.
• Experience with data cleansing, transformation, and validation.
• Strong analytical thinking and problem-solving capabilities.
• Excellent communication and presentation skills.

Qualifications

• Bachelor s or Master s degree in Data Science, Statistics, Computer Science, Mathematics, Medical Informatics, or a related quantitative field.
• Experience working with large and complex datasets.
• Knowledge of healthcare or medical informatics data is a plus.
• Familiarity with Tableau, Power BI, or similar visualization tools is preferred.
• Experience with cloud technologies and big data platforms is an advantage.