Data Scientist

4 weeks ago


Bengaluru, Karnataka, India Global Pharma Tek Full time
Job Summary

We are seeking a highly skilled Data Scientist to join our team at Global Pharma Tek. As a Data Scientist, you will be responsible for developing and implementing advanced machine learning models to drive business growth and improve operational efficiency.

Your primary focus will be on understanding complex business problems and formulating them as data science problems. You will design, train, and deliver data science solutions using various modalities and data sizes.

Key responsibilities include:

  • Understanding business objectives and formulating problems as data science problems
  • Designing, training, and delivering data science solutions
  • Developing and maintaining robust data processing pipelines and reproducible modeling pipelines
  • Exploring data and communicating insights to non-technical and technical audiences
  • Analyzing experimental results and iterating on models to create significant business impact

Requirements:

  • Bachelor's degree in a quantitative discipline, preferably computer science
  • More than 2 years of experience in data science/analytics roles
  • Proven experience as a data scientist or similar role
  • Expert ability to write robust code in Python
  • Expert skill at manipulating data frames using Pandas and arrays using Numpy
  • Familiarity with standard machine learning libraries (like scikit-learn, StatsModels)
  • Excellent verbal and written communication skills
  • You take complete ownership of your work and are self-driven

Good to Have:

  • Deep learning frameworks like TensorFlow, PyTorch, etc.
  • Working knowledge of OpenCV
  • Completed projects on computer vision and natural language processing
  • Expert-level proficiency in multivariate time series forecasting or causal forecasting
  • In-depth understanding of classical statistical forecasting algorithms like ARIMA, ETS, etc. as well as new-age algorithms like N-Beats
  • Proven experience in handling time series forecasting using standard regression algorithms like linear regression, gradient boosted decision trees, random forest, etc.
  • Good practical knowledge with sequence models in deep learning, like LSTMs, Transformers, etc. especially in the context of time series forecasting
  • Proficiency with at least one deep learning framework such as PyTorch, TensorFlow, etc

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