(15h Left) Associate Data Scientist
2 weeks ago
Invent Health values creativity and the application of cutting-edge technology in AI and ML to enhance data quality, engineering efficiency, and overall productivity in the Healthcare Analytics domain. As a part of the Data Science team, you will play a crucial role in our data-driven initiatives. You will work closely with our data science team to extract meaningful insights from large and complex healthcare datasets.
Responsibilities:
- Participating in end-to-end modelling projects, handling large variety and volume of data.- Executing research and analytics, including data source identification, processing, model/algorithm development.- Conducting exploratory data analysis, feature construction, and feature engineering.- Performing Feature Engineering to create relevant features from raw data to enhance model performance and interpretability.- Developing and evaluating advanced Predictive models using Python and Spark ML-Lib.- Focusing on specialty areas such as Anomaly Detection, Time Series Forecasting, NLP and Generative AI.- Deploying models and monitoring their performance post-deployment.- Conducting proof-of-concept research to explore new modelling techniques and methodologies.- Evaluating the performance of data science models using appropriate metrics and techniques.- Collaborate with cross-functional teams (e.g., clinicians, biostatisticians, engineers) to ensure the successful implementation of data science solutions.- Continuously seek to innovate and bring cutting-edge solutions to our customers.- Developing high-quality data-driven solutions and collaborating effectively within a multidisciplinary team environment.- Delivering presentations and reports on findings and translating complex concepts into actionable insights.
Requirements:
- 2 - 4 years of Data Science experience. Previous experience in Healthcare domain preferred.- Bachelors in a quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Physics, Analytics, etc.), Advanced courses in Business Analytics/Data Science/Data Analytics- Strong problem-solving and analytical skills.- Proficiency in Deep Learning libraries/frameworks like Kera’s and TensorFlow is a plus.- Strong understanding of machine learning algorithms and statistical modelling techniques.- Experience in handling large datasets and proficiency in data manipulation.- Proficiency in PySpark is a plus. Proficiency in any BI tool like Tableau is a plus- Ability to translate complex data science concepts into practical solutions.- Excellent communication skills, both oral and written.- Designing test strategies, plans and processes, methodologies and supporting documentation for functional and non-functional areas
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