Analytic Software-Lead Scientist

FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!

The Opportunity

“We’re looking for the best talent to join our world class team of professionals. As a member of our software team in Analytics and Scores Development at FICO, you will be an integral part of the programming team working closely with our data scientists and researchers to write code, explore a multitude of big data sources, build datasets and support the overall analytic software development lifecycle.” - Principal Scientist, Analytic Software.

What You’ll Contribute

• Use internal technologies in the development, maintenance and improvement of tools and processes to help solve challenging business problems in predictive analytics.

• Support our existing code base and the overall analytic SDLC.

• Demonstrate self-initiative and innovation writing new code to continuously evaluate and improve existing code base.

• Build, audit, and analyze large datasets.

• Apply data transformation techniques.

• Work on data engineering and ETL tasks supporting the Data Scientists. Work closely with the Data Scientists and other Data Engineers in constructing the best methodologies in generating new tools, code and datasets based on project requirements.

What We’re Seeking

• BS degree in Computer Science, Engineering, Information Technology, Management Information Systems or other related field.

• Proven programming skills in Java/Groovy, Python, Perl and shell scripting.

• Adept at translating business problems into executable code.

• Experience in analyzing large datasets and applying data-cleaning techniques along with strong data wrangling skills and experience working with big data technologies.

• Ability to use statistical software and data manipulation tools for purposes of data quality evaluation.

• Highly detailed and demonstrates the ability to execute a given process with meticulous precision.

• Proficient in auditing results with a critical level of accuracy and detail.

• Knowledge of Windows, UNIX, Red Hat Linux operating systems. 

• Experience working with Amazon Web Services (AWS) - Sagemaker, S3.

• Experience working with big data technology (Spark, Hadoop, etc.)

• Familiarity with relational databases (Oracle, mySQL, etc).

• Familiarity with notebook interfaces such as Jupyter or Zeppelin.

• Familiarity with Eclipse IDE.

• Familiarity with Excel/VBA - Visual Basic.

• Familiar with version control tools like GIT or SVN.

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 …