Data Science Job in Pharmaace Analytics Pvt. Ltd.
Data Science
- Pune, Pune Division, Maharashtra
- Not Disclosed
- Full-time
- Permanent
Responsibilities: Analyze different pharmaceutical / life sciences data sets like claims data, electronic medical records, anonymous patient level data, prescription data & sales data, promotional data. Communicate results to clients and onshore team members Develop client relationships and serve as an offshore key point of contact for the project Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Analyzing the AI/ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Knowledge on Deep learning techniques is added advantage Deploying models to production Interpreting and analyzing both qualitative and quantitative data points; hypothesis building with Strong excel and PPT skills Process automation using SQL/Python/Other available technologies/ETL Tools etc Qualifications: Bahelor s or Master s in Engineering 1 4 years of pharma / life science consulting job experience High motivation, good work ethic, maturity and personal initiative Strong oral and written communication skills Strong excel and PowerPoint skills Adherence to client specific data privacy and compliance policies Knowledge on various commonly used transactional data assets and others including Volumes/ Value, Rx, Specialty level, Longitudinal Patient level data assets
Fresher
2 - 4 Hires
