Data Scientist
4 days ago
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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