Senior Data Scientist - Python & Machine Learning 🏆

Senior Data Scientist - Python & Machine Learning 💰 Salary: $159,000 - 199,000 per year

At Parkland Center for Clinical Innovation we are looking for a Data engineer!

🛠️ Our tech stack:

Business Intelligence, Support, Python, Data

📝 Rquirements:

• Masters Degree in Statistics, Applied Mathematics, Informatics, Computer Science, Operations Research, or a related field
• Minimum of three (3) years of experience in analyzing business-related data and information systems
• Proven experience in research and development of predictive modeling, data mining, and advanced analytics for business intelligence and technology transfer
• Skilled in developing data mining solutions utilizing various statistical software packages (e.g., R, Python)
• Preferred experience in collaborating with healthcare organizations and healthcare applications
• Preferred experience within a complex, academic healthcare setting

👩‍💻👨‍💻 Your responsibilities are:

• Design and implement advanced predictive models to enhance clinical decision support
• Transform intricate healthcare data into actionable insights for a variety of stakeholders including clinicians, social workers, family care providers, and patients
• Coordinate specific phases of data analytics such as extraction, analysis, manipulation, synthesis, summary, validation, testing, and maintenance
• Develop algorithms for clinical and operational initiatives as identified by our organization

View this job and over 500 other transparent jobs with salaries (💰💰💰) & tech stacks (🛠️) on DevITJobs

Category: Data Developer / Engineer

Location address: Pegasus Park Drive 3000, Dallas, United States

Salary: $159,000 - 199,000 per year

Benefits & perks that we offer:

Parkland Center for Clinical Innovation - More about us and the role:

At PCCI, we are dedicated to advancing healthcare by utilizing data science to drive impactful change. We are looking for a passionate Senior Data Scientist to join our dynamic team, where you will play a key role in transforming data into meaningful insights. You will work alongside diverse stakeholders in a collaborative environment. This position offers the opportunity to develop cutting-edge solutions in a complex academic healthcare setting.

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