Python Developer

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

"As a Python developer, you will help build leading data science tools for advanced analytics for our Analytics Workbench product, you will solve tough analytic problems in real-world applications, using machine learning and explainable artificial intelligence (xAI), and share those solutions with our customers around the globe. Working side-by-side with some of the brightest analytical and engineering minds in our industry, who share your passion for innovation and excellence, you will tremendously grow your own skills and influence.” - Sr Director, Technical Architecture 

What You’ll Contribute 

• Plan, design, implement, and test Python API’s, algorithms, and examples for use by data scientists to address all portions of the predictive modeling lifecycle. 

• Work side-by-side with data scientists, QA engineers and UX designers to create robust, efficient, and flexible pipelines to transform data, train machine learning models, and test and monitor operationalized models. 

• Find, augment and design data sets to exercise, quality test, stress test and demonstrate novel data science algorithms. 

• Engage with internal users, clients, and pre-sales engineers to design and create useful solutions, proofs of value, demonstrations, and educational materials. 

What We’re Seeking 

• Bachelor’s Degree or higher in computer science, engineering, physics, statistics, mathematics, operations research, or natural science fields. 

• 3+ years hands-on related experience in predictive modeling and data science using Python. 

• Experience designing and developing reusable Python API packages to be consumed by other teams working on data science projects. 

• Experience using Object-Oriented development techniques. 

• Experience in software development methodologies including software architecture, design, problem solving, performance tuning, test-driven development, and debugging skills. 

• Experience with the full software development lifecycle. 

• Experience with scripting languages such as Bash, Perl, or similar. 

• Experience with any of the following preferred: logistic regression, decision trees, non-linear regression, neural networks, random forests, gradient boosted trees, support vector machines, linear/non-linear optimization. 

• Experience with libraries like matplotlib, numpy, xgboost and the like is a plus. 

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 …