Associate Data Scientist

Associate Data Scientist

  • India
  • Pune - India
  • This position has been filled

0-2 years

Job Location – Pune, India
Required experience – 0-2 Years

About Innoplexus
Innoplexus offers Data as a Service and Continuous Analytics as a Service products, leveraging Artificial Intelligence and advanced analytics to help reduce the drug development time, from synthesis to approval, significantly.

Our products leverage proprietary algorithms and patent-pending technologies to help global Life Sciences and Pharmaceuticals organizations with access to relevant data, real-time intelligence & intuitive insights, across pre-clinical, clinical, regulatory and commercial stages of a drug.

We automate the collection, curation, aggregation, and analysis, of billions of data points from thousands of data sources, using machine learning, network analysis, ontologies, computer vision and entity normalization.

Responsibilities

  • Identify opportunities for leveraging company data to drive business solutions.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling for various business outcomes.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

Required qualification

  • Strong problem-solving skills with an emphasis on product development.
  • Hands on experience with deep learning.
  • Strong problem-solving skills with an emphasis on product development.
  • Experience using statistical computing using Python -(should be familiar with Pandas, Numpy, Scipy), etc. to manipulate data and draw insights from large data sets.
  • Experience in creating data architectures.
  • Experience in working with crawling using Beautifulsoup and Selenium.
  • Knowledge of a variety of machine learning techniques and NLP along with their real-world advantages/drawbacks.
  • A drive to learn and master new technologies and techniques.
  • Knowledge of finance domain and strong mathematical skills will be an added bonus.

 
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