C2C opportunity::: Data scientist- Experience with US healthcare domain: Remote: 3 months

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Sep 12, 2023, 12:28:21 PM9/12/23

to md.i...@genzeon.com

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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.i...@genzeon.com

Key Responsibilities:

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.

Data Analysis and Visualization:

Conduct exploratory data analysis to identify trends, patterns, and anomalies.
Create meaningful visualizations and reports to communicate findings to stakeholders.

Machine Learning Model Development:

Develop predictive and prescriptive models using machine learning techniques.
Fine-tune and optimize models for accuracy and efficiency.

Statistical Analysis:

Apply statistical methods to validate hypotheses and make data-driven recommendations.
Conduct A/B testing and hypothesis testing as needed.

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.

Model Deployment and Maintenance:

Deploy machine learning models into production environments.
Monitor model performance and retrain models as needed.

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