Associate Data Scientist

2 weeks ago

delhi, India Invent Health Inc Full time
Associate Data Scientist - I
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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