Data Scientist ( Healthcare / Life sciences)

Role : Data Scientist

Total Relevant Experience: 4+Years

Domain Experience : A minimum of 1 year of experience as a data scientist in Healthcare/ life sciences/ insure tech domain is a must

Location- Hyderabad (Onsite- Hybrid)

What we are looking for:

• Degree in computer science, Statistics, Data Science, or a related field.
• Strong working knowledge of data manipulation and analysis libraries (e.g. Pandas, NumPy, scikit-learn)
• Familiarity with machine learning (ML) concepts and algorithms.
• Analyze and interpret complex healthcare datasets to extract valuable insights.
• Experience with data visualization tools (e.g. Matplotlib, Seaborn, tableau, PowerBI)
• Basic understanding of databases systems and SQL
• Experience with cloud platforms (e.g., AWS, Azure or Google Cloud) in a healthcare and biomedical data (ex., clinical and life-sciences) context.
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with generative AI tools for innovative data-driven solutions.
• Excellent problem-solving and analytical skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Must possess strong analytical skills with the ability to collect, organize, analyze, and disseminate information

with attention to detail and accuracy.

• Ability to generate information quickly and manage multiple projects at once.
• Strong analytical skills with the ability to collect, organize, analyze, conceptualize, problem solve, and disseminate information confidently and collaboratively with attention to detail, accuracy, timeliness.
• Experience in building and deploying highly scalable systems, algorithms, and tools on platforms to support machine learning and deep learning solutions
• Experience with Azure/AWS tools and technology

• Analyze and interpret complex datasets to uncover valuable insights.
• Develop and implement Machine Learning (ML) models and algorithms.
• Collaborate with the team to design and execute data experiments.
• Utilize cloud platforms for data storage, processing, and analysis.
• Present findings and insights to both technical and non-technical stakeholders
• Stay updated on industry trends and advancements in data science, with a focus on healthcare informatics.
• Analyze complex healthcare data sets to identify trends, patterns, and insights.
• Create and present reports, dashboards,and visualizations to communicate findings to stakeholders.
• Isolate healthcare trend drivers and financial impacts associated with client medical claims, pharmacy claims, and other types of healthcare data.
• Perform varying types of analysis including medical carrier network valuations, discount analysis, and benchmarking.
• Conduct complex analyses adhering to best practice standards by selecting appropriate data sources, developing assumptions, recognizing considerations, and establishing recommendations.
• Identify opportunities for process improvement and efficiency through data analysis.
• Resolve unreasonable results, suboptimal solutions, and data anomalies based on experience and professional judgment.
• Act as a technical expert and advise on strategic data mining techniques used to identify new relationships or patterns in data.
• Build predictive models to accurately analyze potential outcomes that are likely costs / savings for a given initiative or event(s).
• Translate, document, and present approaches, processes, and results of complex modeling and statistical analysis into layperson terms for diverse, internal and external audiences.