Lead Analytic Scientist

FICO • San Diego, CA

1d

About The Position

FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. This opportunity is for a team that solves problems with analytics by staying at the forefront of Artificial Intelligence (AI) and Machine Learning (ML), building industry-leading solutions with cutting-edge technology. If you are a problem solver who enjoys tackling tough problems with data and analytics in real-world situations, you will thrive at FICO, working alongside bright analytical and engineering minds who share a passion for innovation. At FICO, you can develop your career in Big Data analytics, a fast-growing field. You will contribute to helping businesses use data to improve every choice they make, leveraging advances in artificial intelligence, machine learning, optimization, and more. FICO's solutions make a significant difference globally, including credit scoring (used by 90 of the top 100 US lenders), fraud detection (protecting 4 billion payment cards), and lending (approving 3/4 of US mortgages). The global trend towards digital transformation has created tremendous demand for FICO’s solutions, positioning the company among the world’s top 100 software companies by revenue. FICO helps many of the world’s largest banks, insurers, retailers, telecommunications providers, and other firms achieve new levels of success. The company's success relies on talented individuals who thrive on collaboration and innovation within a diverse and inclusive environment. FICO provides support while ensuring freedom to develop skills and grow careers, promoting a culture of inclusion and seeking diverse candidates. The company is an equal employment opportunity employer, offering advancement opportunities without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Candidates are encouraged to apply even if they don't meet all stated qualifications, as strengths in certain areas can be equally effective.

Requirements

• 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.
• Proven ability to lead cross functional teams on medium to large scale projects and handling client interactions requiring strong communication skills.
• Strong scripting experience using Perl, Bash, or similar.
• Experience working with two of the following: Java, Python, C++ or C.
• 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.

Nice To Haves

• Prior experience with real-time payment transactional data, including understanding of data field availability, timing, and format requirements for downstream analytics.

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees