Data Scientist Analyst

at  SERVITA PRIVATE LIMITED

About the role: We are seeking a highly skilled and motivated Healthcare Data Scientist Analyst to join our Global Transformation Company. As a Data Scientist Analyst, you will be responsible for analyzing complex healthcare data sets and providing valuable insights to drive data-informed decisions. You will collaborate with cross-functional teams to identify trends, patterns, and opportunities, ultimately contributing to the improvement of healthcare outcomes and patient care. If you are passionate about leveraging data to make a positive impact in the healthcare industry, we would love to hear from you.

QUALIFICATIONS & EXPERIENCE:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience as a Data Scientist or Data Analyst in the healthcare industry.
• Proficiency in programming languages such as Python and R.
• Strong knowledge of data analysis and statistical methods.
• Experience with data visualization tools such as Tableau or Power BI.
• Familiarity with machine learning algorithms and techniques.
• Excellent problem-solving and critical thinking skills.
• Strong communication and interpersonal skills to effectively collaborate with cross-functional teams.

SKILLS:

• Outstanding interpersonal and communication skills.
• Expertise in Change Management and Clinical Adoption strategy implementation.
• Strong planning, organization, and time management skills.
• Proficiency in Clinical Information Systems design, build, and implementation.
• Deep understanding of clinical data validation, reporting, and analysis.
• Demonstrable success in stakeholder interactions, delivering aligned solutions.
• Familiarity with clinical environments and terminology.
• Strong values of integrity, commitment, and self-improvement.
• A methodical, thorough yet flexible approach.
• Process-driven mindset.

• Collect, clean, and validate large and complex healthcare data sets.
• Analyze and interpret data using statistical techniques and visualizations.
• Develop predictive models and algorithms to identify patterns and trends in healthcare data.
• Collaborate with cross-functional teams to identify areas for improvement and develop data-driven solutions.
• Build and maintain data pipelines and databases for efficient data analysis and reporting.
• Communicate complex findings and insights to both technical and non-technical stakeholders.
• Stay up-to-date with industry trends and advancements in data science methodologies.