Hi Everyone,
Hope you're doing great!!!
Please find the below job description and let me know your interest.
Role: Data Scientist
Location : Remote
Duration: Fulltime
Only : USC/GC
Job Description:
Healthcare organization dedicated to improving patient outcomes through innovative data-driven solutions. We are seeking a highly motivated and talented Data Scientist to join our team and contribute to the development and implementation of advanced analytics solutions for critical healthcare challenges.
Responsibilities:
- Design, develop, and implement end-to-end machine learning production pipelines, encompassing data exploration, sampling, feature engineering, model building, and rigorous performance evaluation.
- Leverage Python, R, and other statistical programming tools to create scalable and high-performing analytical solutions.
- Translate complex functional requirements into detailed technical architectures and robust solutions.
- Build and validate sophisticated statistical models and machine learning algorithms specifically tailored for healthcare applications.
- Collaborate effectively within Agile teams to implement cutting-edge big data analytics solutions.
- Create and maintain data pipelines that are not only scalable and repeatable but also ensure the highest levels of data security and privacy.
- Develop clear and concise documentation and presentations to effectively communicate technical insights to both technical and non-technical stakeholders.
Qualifications:
- Master's degree in a relevant field such as Computer Science, Statistics, Data Science, or a closely related discipline.
- 5+ years of hands-on experience in data science or a relevant analytical role.
- Demonstrated expertise in statistical modeling and a strong foundation in statistical analysis techniques (e.g., regression, hypothesis testing, ANOVA).
- Proficiency in Python and R, with a proven track record of developing and implementing production-ready machine learning algorithms.
- In-depth knowledge of SQL and experience working with large-scale, complex datasets.
- Experience with big data technologies and distributed computing platforms.
- A strong understanding of statistical methods and their practical applications within the healthcare domain.
- Experience with healthcare data analytics and a solid understanding of the healthcare industry landscape.
Preferred Qualifications:
- Knowledge of high-performance algorithms and distributed systems.
- Experience working within Agile development methodologies.
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Proven ability to effectively communicate technical concepts to both technical and non-technical audiences.
- Knowledge of data security and privacy regulations specific to the healthcare industry (e.g., HIPAA).
Technical Skills:
- Programming Languages: Python, R (required); Scala/Java (preferred)
- Machine Learning: Scikit-learn, TensorFlow, or similar frameworks
- Big Data Tools: Experience with batch and streaming processing frameworks
- Statistical Analysis: Advanced knowledge of statistical modeling techniques
- Data Visualization: Ability to create clear, impactful, and insightful visualizations
- Database Systems: Proficiency with SQL and experience with NoSQL databases