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Data Scientist


We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company.We will rely on you to build data products to extract valuable business insights.In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.Your goal will be to help our company analyze trends to make better decisions.

Required Skills:

  • Relevant experience : 10+ years
  • A strong level of proficiency in python programming.
  • Practical knowledge and working experience on Statistics and Operation Research methods.etc.
  • Practical knowledge and working experience in tools and frameworks like Flask,PySpark,Pytorch,tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
  • Hands on experience in Analytics/AI-ML AWS services like Sagemaker, Canvas, Bedrock.
  • Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
  • Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
  • Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
  • Hands on experience on any version control tool (github, bitbucket).
  • Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS.
  • Understanding business needs / mapping it to the business processes.
  • Hands on experience in agile project delivery.
  • Good in conceptualizing and visualizing end to end business needs both at high level as well as detailed.
  • Good in articulating the business needs.
  • Good analytical and problem-solving skills.
  • Good communication, listening and probing skills.
  • Strong inter-personnel skills.
  • Should collaborate with other team members and work as team.

Key Responsibilities:

  • Comprehend business issues and propose valuable business solutions.
  • Design Factual or AI/profound learning models to address business issues.
  • Design Statistical Models/ML/DL models and deploy them for production.
  • Formulate what information is accessible from where and how to augment it.
  • Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j.
  • Preferred Certification: (Good to have) AWS Specialty Certification in Data Analytics, Machine Learning

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