Analytic Science-Lead Scientist

Overview

Lead analytic science work on real-world data and predictive modeling, building and overseeing teams that develop high-end analytic models for FICO's software and solutions.

What you'll do

• Work with large amounts of real-world data and ensure data quality across collection, normalization and transformation.
• Research and select appropriate statistical methods and computational algorithms.
• Build and/or oversee teams building high-end analytic models using statistical modeling techniques.
• Manage projects under time constraints, working with other FICO teams to support integration and deployment of analytics software and solutions.
• Assist with model go-lives by performing production data validations and analysis of models in production.
• Assist with client meetings to investigate and resolve problems.
• Apply data mining methodology in analyses of model behaviors and support customer meetings, model construction and pre-sales.
• May participate in post-implementation support.

What you'll need

• MS or PhD degree in computer science, engineering, physics, statistics, mathematics, operations research or natural science fields, with significant years of hands-on related experience in predictive modeling and data mining.
• 5-7 years of relevant experience.
• Experience analyzing large data sets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of data sets.
• Proven and demonstrable experience with at least three of the following: neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, linear/non-linear optimization.
• Strong programming experience.
• Experience working with any of these languages: Java, Python, C++ or C.
• Hands-on experience working with Linux.

Nice to have

• Background in ML and AI.

Details

• Location: Bangalore, India.