What You’ll Do
- Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
- Execute statistical and data mining techniques ( e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information
- E valuat e emerging datasets and technologies for our analytical platform
- Owning the development of select assets/accelerators for efficient scaling of capability
- Contributing to the thought leadership of the firm by helping in researching the evolving topics and publishing them
What You’ll Bring
- Bachelor's or master's degree or PhD in STEM from a premier institute, and strong academic performance with analytic and quantitative coursework is required ;
- Knowledge of programming - Python (Deep Expertise), Pyspark
- Exp erience in engineering features from a variety of data sources
- Experience in ML platforms like Dataiku, Sagemaker , MLFlow or other platforms
- Knowledge of big data/advanced analytics concepts and algorithms ( e.g. text mining, social listening, recommender systems, predictive modeling, etc.);
- Expertise in developing one or more class of machine learning algorithms ( time series, classification, regression, etc. - preferably in a product environment)
Additional Skills
- Excellent oral and written communication skills;
- Strong attention to detail, with a research-focused mindset;
- Excellent critical thinking and problem-solving skills;
- High motivation, good work ethic and maturity.