| Looking for : Data scientist(Natural language processing -NLP)- Healthcare domain experience at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=661279&uid= KINDLY REPLY TO [email protected] 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 & [email protected] 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 E: [email protected] W: www.genzeon.com Genzeon Corporation: 559 West Uwchlan Avenue # 120, Exton, PA 19341 -- Keywords: information technology California Maryland Pennsylvania http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=661279&uid= |
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| 08:56 PM 20-Sep-23 |