Data Scientist - II

What is the job like?

• Partner with Engineering, Product, and Operations teams to conceive, design & build AI systems for Email Suites, Conversational chatbots, and various other NLP and ML use cases. 
• Develop innovative strategies and models to operationalize the solutions.
• Generate ideas for exploratory analysis to shape future projects and provide recommendations for actions.
• Rapidly prototype solutions and drive/be involved in product and feature discussions.
• Create dashboards and documentation to communicate results and monitor key data metrics regularly.
• Collaborate with software engineers to deploy and integrate data models into production systems, ensuring scalability, reliability, and efficiency.
• Identify key business metrics and recommend product features if needed.

Who should apply for this role?

• Master/Bachelor's degree in Machine Learning/Data Science, Applied Statistics, Mathematics, or Engineering.
• Minimum 3+ years of relevant experience with a proven track record of developing ML solutions.
• Strong quantitative and problem-solving skills.
• Solid understanding of NLP fundamentals and knowledge of essential data science libraries, including Pandas, Numpy, Scipy, and Scikit-Learn.
• A good hands-on experience with Python used in data analysis and model building.
• Experience with Hadoop, Spark, or other distributed computing systems for large-scale training.
• Strong understanding of supervised (decision trees, random forests, boosting, etc.) and unsupervised ML techniques.
• Ability to break down and frame business problems into data science solutions and hands-on capability to create MVP out of it and run a DS project end to end independently
• Communication skills to engage with Business stakeholders to understand their needs and effectively communicate the results of the analytical solution
• Able to work effectively in a Team.
• Ability to write clear and concise technical documentation