Data Scientist

Responsibilities:

• Collaborate with product, design, and engineering teams to identify and develop an understanding of the data science requirements.
• Research and propose innovative statistical/ML models to address the requirements.
• Target and formulate various problems in terms of key business metrics and measure the impact of the built ML techniques.
• Analyze data for trends and patterns, and interpret data with a clear objective in mind.
• Develop, deploy, and maintain the ML/Deep Learning models in production or build a regular cadence to facilitate the same.
• Work closely with the engineering team on strategies and execute the development of data science projects.
• Communicate progress/findings to relevant stakeholders.
• Assist in defining short- and long-term roadmaps that help growth and demonstrate impact at the organizational level.
• Up-to-date knowledge in the field of technical and industry developments.

Requirements:

• 3-5 years of experience with a bachelor's/master's degree in statistics, applied mathematics, or a related discipline
• Effective communication of DS requirements and dissemination of the right knowledge to relevant stakeholders.
• Experience with Spark, Flask, SQL, Python, Cloud platform.
• Experience in machine learning, deep learning, and engineering aspects of ML model deployment.
• Proficiency with data analysis, mathematics/probability, and statistical analysis.
• Experience in predictive modeling exercises.
• Comfort working in a dynamic, fast-paced, hands-on environment and managing the ideation and execution of more than one ongoing concurrent project.