Job description

Job Specification: Data Scientist

Work Location: Bangalore

Experience & Skills

  • 3 to 5 yrs. of experience with Python as a Data Scientist
  • Degree in Engineering, Science, or a similar Quantitative field, preferably with a related postgraduate degree or Ph.D.
  • Exploratory data analysis skills.
  • Knowledge and experience with machine learning algorithms (supervised and unsupervised).
  • Knowledge of statistical techniques to support exploratory findings and conclusions
  • Strong experience in one of the programming languages used in data science (Python, R, MATLAB or similar).
  • Experience with some of the related packages Numpy, Pandas, Matplotlib, scikit-learn, TensorFlow, etc.
  • Experience with Machine learning / Deep learning, such as Deep Neural Networks, Tensorflow, Caffe, Keras, PyTorch.
  • Experience with artificial intelligence techniques: image recognition, NLP, text mining, chatbots.
  • Experience in deploying machine and deep learning solutions.
  • Experience in the design of analytical models: (Decision Trees, Scoring, Clustering, pattern discovery, trends, regressions, Deep learning...).
  • Experience of Agile and traditional SDLC delivery methodologies.
  • Working experience on Azure Databricks, Data lake and Datafactory is good to have skillset
  • Outstanding analytical and problem-solving skills
  • A methodical and logical approach
  • The ability to plan work and meet deadlines
  • Accuracy and attention to detail
  • Interpersonal skills
  • Written and verbal communication skills
  • Ability to work in a team

Job Responsibilities

As a Data scientist engineer, he/she has to work on different dataset and apply the different ML with correct pre-processing steps based on the understanding of dataset and able to analyse and mention the ML model which suits for this dataset , when we pass the live data once pushed to production

  • Have to work in building statistical Machine Learning models such as regression, classification and clustering models.
  • Also, have to work on Deep Learning and NLP techniques.
  • Processing, cleansing & verifying of data, updating missing data, organising data in to usable formats
  • Analysing data for trends and patterns and to find answers to specific questions
  • Preparing reports for executive and project teams
  • Create visualisations of data through different techniques.
  • Identifying relevant data sources for business needs. Collecting structured and unstructured data.
  • Working on the Azure MLOps setup for the model development and deployment to the production.

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