Data Scientist

7 hours ago

Noida, Uttar Pradesh, India Innovaccer Full time ₹ 12,00,000 - ₹ 36,00,000 per year

We are looking for a Data Scientist with industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems. Healthcare background is a plus. Passion for travel can help you score some brownie points.

THE THINGS YOULL BE DOING

  • Design scalable solutions for real-time performance on a significantly large data set. Use big data technologies to optimally use infrastructure and improve performance.
  • Build intelligent systems to capture and model the vast amount of behavioral data to enrich the content understanding with behavioral information
  • Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them.
  • Define technical architecture to productize Innovaccers machine-learning algorithms and take them to market with partnerships with different organizations
  • Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows.
  • Work with customers and BI experts to build out reports and dashboards that are most useful to customers
  • Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle.
  • Define and execute on the roadmap

Requirements

  • Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred)
  • 2+ years of experience in Data Science (healthcare experience will be a plus)
  • Strong written and spoken communication skills
  • Strong hands-on experience in SQL and Python (Pandas, Scikit-learn)
  • Experience working in classical ML techniques - XGboost, Clustering, Feature Engineering
  • Experience in at least 1 Deep Learning frameworks like Pytorch/Tensorflow and and using LLMs in GenAI workflows.
  • Good to have - knowledge of Sagemaker/Databricks
  • Experience of containerizing models with Docker, Git, APIs, etc
  • Ability to work with and influence multiple stakeholders and deliver solutions in a given time frame

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