About the role

You will be responsible for owning and executing Data Science solutions, which include, handling large datasets, exploratory data analysis, model development, and solution deployment in real-time. We value first principles thinking, hence, strong logical reasoning, mathematical depth, knowledge of data structures and CS algorithms are important for the role.

Here’s what you will do -

• 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 ML/DL models in production or help develop a platform to facilitate the same
• Work closely with the Engineering team to take Data Science projects to production
• Communicate progress/findings to relevant stakeholders
• Keep updated with emerging technologies in AI/ML

What are we looking for -

• Experience with SQL, Python (Required). Experience with PySpark, AWS, and Rest/Fast APIs (Preferred)
• Experience in Machine Learning, Deep Learning, and Engineering aspects of ML model deployment (Required). Has or pursuing Bachelor’s/Master’s/PhD degree in Computer Science, Statistics, Applied Mathematics, or related discipline (Preferred)
• Familiarity with statistical methods such as hypothesis testing, forecasting, time series analysis, etc (Required). Experience in working on optimization problems - linear/nonlinear programming, (meta)heuristics for solving optimization problems (Preferred)
• Most importantly, an inquisitive mind, an ability for self-learning and abstraction along with a risk appetite for experimentation and failure
• Proficiency in data analysis, mathematics/probability, and statistical analysis
• Should be comfortable multitasking and working in a dynamic, fast-paced environment
• Available for a period of 3 to 6 months