KINDLY REPLY TO md.imtiaz@genzeon.com ONLY
Genzeon established in 2009, we are a cutting-edge global digital company with focus on healthcare. Genzeon helps its clients achieve their goals by providing innovative services & solutions to reduce costs, streamline operations, improve experience, increase provider productivity, and advance patient care and satisfaction. Our culture anchors our core values – Human connection, Accountability & Empowerment.
I will be more than happy to learn and know more about your expertise, also we can discuss about the job description too. You can call or text me at 484-713-8999 & md.imtiaz@genzeon.com
- Min 10+ years of experience in Data and Data Science
- At least 3+ years of NLP
- At least 5+ Years Understanding of Healthcare domain.
- Payer domain
- Provider domain
- At least 3+ Years understand of data.
- Clinical or patient Data
- Clinical Structure and Unstructured data
Key Responsibilities:
1. Data Collection and Preprocessing:
· Acquire, clean, and preprocess data from various sources, ensuring data quality and integrity.
· Collaborate with data engineers to design and maintain data pipelines.
2. Data Analysis and Visualization:
· Conduct exploratory data analysis to identify trends, patterns, and anomalies.
· Create meaningful visualizations and reports to communicate findings to stakeholders.
3. Machine Learning Model Development:
· Develop predictive and prescriptive models using machine learning techniques.
· Fine-tune and optimize models for accuracy and efficiency.
4. Statistical Analysis:
· Apply statistical methods to validate hypotheses and make data-driven recommendations.
· Conduct A/B testing and hypothesis testing as needed.
5. Collaboration and Communication:
· Collaborate with cross-functional teams, including data engineers, business analysts, and product managers.
· Present findings and insights to non-technical stakeholders in a clear and understandable manner.
6. Model Deployment and Maintenance:
· Deploy machine learning models into production environments.
· Monitor model performance and retrain models as needed.
7. Continuous Learning:
· Stay up-to-date with the latest developments in data science and machine learning.
· Share knowledge and best practices with the team.
Qualifications:
· Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field (Ph.D. preferred).
· Proven experience as a Data Scientist, with a track record of exploratory data analysis, data preparation and feature engineering for model training.
· Proven experience as a Data Scientist, with a track record of developing, deploying and tuning machine learning models.
· Proficiency in programming languages such as Python
· Strong knowledge of machine learning libraries (e.g., TensorFlow, scikit-learn, PyTorch).
· Experience with data visualization tools (e.g., Matplotlib, Tableau).
· Solid understanding of statistical analysis and experimental design.
· Excellent problem-solving skills and a passion for working with data.
· Strong communication and collaboration skills.
· Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
· Experience with US healthcare domain
Thanks & Regards,
Md Imtiaz
Talent Acquisition Partner
P: 484-713-8999
Genzeon Corporation: 559 West Uwchlan Avenue # 120, Exton, PA 19341
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