Analytic Software

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

“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.

• 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 by 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.

• BS degree in Computer Science, Engineering, Information Technology, Management Information Systems or other related field.
• Proven programming skills in Python, Java/Groovy, Perl, and shell scripting.
• Demonstrated experience translating business problems into executable code.
• Experience analyze large datasets and apply data-cleaning techniques.
• Synthesize and manipulate data using 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.
• Demonstrates the ability to work through complex issues effectively given solution, focusing on the end goal.
• Able to identify errors and audit results.
• Knowledge of Windows, UNIX, Red Hat Linux operating systems.
• Familiarity working with Amazon Web Services (AWS) - Sagemaker, S3, Athena.
• Familiarity working with big data technology (Spark, Hadoop, etc.).
• Familiarity with VS Code and version control tools like GitHub or Bitbucket.
• Familiarity with notebook interfaces such as Jupyter.
• Familiarity with relational databases (Oracle, mySQL, etc). preferred.
• Experience working with U.S. Credit Bureau data preferred.

• 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.

• The targeted base pay range for this role is: $120,000 to $189,000 with this range reflecting differences in candidate knowledge, skills and experience.

Learn more about how you can fulfil your potential at

FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.

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