Analytic Science - Lead Scientist

FICO; Bengaluru; On-site; INR 1,500,000 - 2,000,000; Full time

Benefits offered by this job

Inclusive company culture

Professional development opportunities

Competitive compensation and benefits

Work/life balance initiatives

Job summary

FICO in Bengaluru is seeking analytical minds to tackle complex problems with data and machine learning. The role involves managing projects on predictive modeling and working closely with large data sets. If you have a strong programming background and a graduate degree, this is an opportunity to contribute to industry-leading solutions.

Our inclusive culture encourages professional development and recognizes achievements through competitive compensation and benefits.

Qualifications

• Experience with predictive modeling and data mining.
• Hands-on experience with large data sets.
• Knowledge in machine learning and AI.

Responsibilities

• Oversee teams building analytic models.
• Perform production data validations.
• Assist with client meetings to resolve data issues.

Skills

Data quality assurance

Statistical modeling

Data mining

Problem-solving

Education

MS or PhD in relevant field

Tools

Python

Java

C++

C

Linux

Job description

The need for analytics is everywhere! Be a part of a team that solves problems with analytics by staying at the forefront of Artificial Intelligence (AI) and Machine Learning (ML). Want to build something meaningful and have fun while doing it? We do too and have been using cutting edge technology to help build industry leading solutions. If you are a problem solver and like the idea of solving tough problems with data and analytics in real world situations, you will thrive here at FICO! You will have the opportunity to work side by side with some of the brightest analytical and engineering minds in the industry who share a passion for innovation.

What You’ll Contribute

• Work with large amounts of real-world data and ensure data quality throughout all stages of acquisition and processing, including data collection, normalization and transformation.
• Research and select appropriate statistical methods and computational algorithms.
• Build and/or oversee teams building high-end analytic models for relevant problems using statistical modeling techniques. Manage these projects under time constraints, working with other teams within FICO to provide high quality support to enable 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 thorough analyses of model behaviors and provide support for customer meetings, model construction and pre-sales. May also participate in post-implementation support.

What We’re Seeking

• 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.
• 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.
• Background in ML and AI preferred.
• 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.

Our Offer to You

• An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
• The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
• Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
• An engaging, people‑first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.