KINDLY REPLY TO md.imt...@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.imt...@genzeon.com
1. Min 10+ years of experience in Data and Data Science
2. At least 3+ years of NLP
3. At least 5+ Years Understanding of Healthcare domain.
1. Payer domain
2. Provider domain
4. At least 3+ Years understand of data.
1. Clinical or patient Data
2. 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: md.imt...@genzeon.com
W: www.genzeon.com
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