Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 1K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

RATE NOW!
- ABECA 2025
  
  RATE NOW!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Employer? Claim Account for FREE

FICO

Compare

4.0

based on 195 Reviews

25 FICO Jobs

Analytic Science - Scientist II

FICO

4.0

based on 195 Reviews

3-6 years

Bangalore / Bengaluru

1 vacancy

Analytic Science - Scientist II

FICO

posted 13d ago

Job Role Insights

Flexible timing

Key skills for the job

SAP FICO Machine Learning Product Management C++ Data Mining Presales

+ 4 more

Job Description

You will be an integral part of a team of scientists working closely with external clients to build efficient predictive models, analy z e and validate production model behavio r and ensure optimal model performance. There will be opportunities to support the internal technology team in development of models and get involved in sales activities related to the evaluation of models for different client environments

What You ll Contribute

Build ing and evaluat ing predictive and decision models to be deployed in production systems or for research. This includes the analysis of large amounts of historical data, determining suitability for modeling , data clean-up and filtering, pattern identification and variable creation, selection of sampling criteria, generating performance definitions and variables, performing experiments with different types of algorithms and models and analyzing performance to identify the best algorithms to employ.
A ssist with model go-lives by performing production data validations and score distribution analysis of models in production.
Apply data mining methodology in thorough analysis of model behavior and provide support for customer meetings, model construction and pre-sales.
Manage projects under time and resource constraints, work with other teams within FICO (software, IT, product management, and product support) provide high quality support to enable integration and deployment of analytics software and solutions.
May participate in post-implementation support.

What We re Seeking

MS degree in a statistics, engineering, mathematics, computer science, physics, operations research field ( PhD preferred) .
Some related industry experience in predictive modeling and data mining or PhD with no related experience .
Experience with Perl/Python, C, C++, or Java and familiarity with basic software design principles and coding standards and best practices.
Experience analyzing large datasets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of datasets.
Prefer knowledge of some of the following: Bayesian networks, PCA, independent component analysis, linear and logistic regressions, inference, estimation, experiment al design, neural networks, SVM.

Our O ffer t o 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.