• We re looking for a Principal Data Scientist to work on machine learning, data mining, and statistical modeling for providing predictive and prescriptive enterprise analytics.
• Successful candidates will be expected to guide a team of Data Scientists, investigate state of the art techniques in advanced machine learning and statistical modeling, and design, develop, and deploy state-of-art, scalable systems for innovative analytics applications across various functional areas (e.g. Finance, Sales, Marketing, Supply Chain, etc.).
• Applicants will be expected to work with a diverse set of data sources, such as time series data, graph data, semi-structured and unstructured data, and build statistical/machine-learning models in support of on-demand, real-time analytic services. The applicant should also have strong skills in explaining the analytic models and outcomes to business stakeholders.

What you ll do

• Lead, guide and advice a team of Data Scientists
• Be overall responsible for all the Data Science related deliverables and in meeting accuracy targets
• Research, design and prototype robust and scalable models based on machine learning, data mining, and statistical modeling to answer key business problems
• Build tools and support structures needed to analyze data, perform elements of data cleaning, feature selection and feature engineering and deliver projects in conjunction with best practices
• Work with development teams business groups to ensure models can be implemented as part of a delivered solution and can be replicated across multiple markets / countries
• Present findings to stakeholders to drive improvements and solutions from concept through to delivery

• Keep abreast of the latest developments in the field by continuous learning and proactively champion promising new methods relevant to the problems at hand

What you ll need

• PhD / Masters / B.Tech in computer science, computer engineering with 12+ years of demonstrated experience in the Advanced Analytics / Machine Learning field
• Demonstrated history of driving and delivering analytics models and solutions
• Deep knowledge of fundamentals of machine learning, data mining and statistical modeling, and extensive experience applying these methods to real world problems
• Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, SQL) and various open source machine learning and analytics packages
• Hands on working experience on at least one of the MLOps Platform like AWS Sagemaker, Dataiku, Data Robot
• Ability and inclination to work in multi-disciplinary environments, and desire to see ideas realize in practice

What you ll get in return

• Opportunity to work on some of the highly complex and challenging business problems across a variety of functional domains and consumer markets
• Competitive salary depending on experience

• Extensive set of tools to drive your career, such as a personalized learning platform, free training and coaching