ABOUT LEAD DATA SCIENTIST ROLE?

You will help our clients solve real-world problems by tracing the data-to-insights lifecycle:

• Understand business problems, making sense of the data landscape & footprint, performing a combination of exploratory, Machine Learning & Advanced Analytics


• Create, experiment with and delivery innovative solutions in a consultative mindset to client stakeholders


• Lead teams of analysts to offer exceptional solutions to clients, across domains.

Work Location: Hyderabad / Bengaluru

EXPERIENCE AND QUALIFICATION FOR THIS ROLE

• 6-8 years of experience in working on industrial use cases in data science using Machine Learning for measurement, forecasting, simulation and optimization


• Ability to generate insight out of sparse data and communicate stories; demonstrated ability to engage with client stakeholders at multiple levels and provide consultative solutioning; ability to - create engagement opportunities through advisory


• Demonstrated ability to lead and mentor teams of analysts in solutioning and delivery


• Background in Applied data science/ Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research etc.) from a reputed institute.


• Strong knowledge of fundamentals of Data Science – Statistical techniques, hypotheses generation and testing, exploratory data analysis; descriptive/inquisitive/predictive and prescriptive analysis; proficiency with variety of approaches and models


• Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Random Forests & SVM, Linear Optimization.


• Ability to work across different domains and get a quick sense of the business processes & flows


• Exceptional communication skills, both verbal and written, with a strong urge to learn, iterate and innovate

EDUCATIONAL QUALIFICATION:

• Bachelor’s Degree or higher in Computer Science, Computer Engineering, CIS, Data Analytics, or related.