Data Scientist

4 weeks ago

Bengaluru, Karnataka, India Global Pharma Tek Full time
Job Title: Data Scientist

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 solutions to drive business growth and improve operational efficiency.

Key Responsibilities:
  • Design, train, and deploy machine learning models to solve complex business problems
  • Develop and maintain robust data processing pipelines and reproducible modeling pipelines
  • Explore data and communicate insights clearly to non-technical and technical audiences
  • Analyze experimental results, iterate, and refine models to create significant business impact
  • Guide and mentor junior Data Scientists on solution development
Requirements:
  • Bachelor's Degree in a Quantitative discipline, preferably Computer Science
  • > years' 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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