RDC is a full-service, award-winning architecture firm dedicated to transforming everyday spaces into extraordinary places. Founded in 1979 and headquartered in Long Beach, California, RDC boasts a team of over 160 professionals across multiple locations, including Los Angeles, San Diego, Washington D. C. , and Arkansas. The firm specializes in architecture, master planning, interior design, and retail branding, with a diverse portfolio that includes mixed-use developments, fitness centers, grocery markets, and retail spaces.
interior architecture and design • architecture • sustainable design • retail design • creative office
March 13
RDC is a full-service, award-winning architecture firm dedicated to transforming everyday spaces into extraordinary places. Founded in 1979 and headquartered in Long Beach, California, RDC boasts a team of over 160 professionals across multiple locations, including Los Angeles, San Diego, Washington D. C. , and Arkansas. The firm specializes in architecture, master planning, interior design, and retail branding, with a diverse portfolio that includes mixed-use developments, fitness centers, grocery markets, and retail spaces.
interior architecture and design • architecture • sustainable design • retail design • creative office
• The Data Scientist will work closely with the Data Science & Credit Advisory team, and RDC customers, on developing AI-based solutions. • Conduct detailed data analyses in support of the development, validation, and implementation of statistical models. • Lead discovery engagement and develop prototypes to be deployed on the RDC platform for clients across new use cases in SMB and Commercial lending in North America. • Support sales, client advisory and client delivery team to achieve expected business outcomes as agreed with our clients.
• BS or BA degree in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree. • Programming experience in Python for 2+ years • Programming in SQL for 1+ years. • Experience developing and managing quantitative credit risk models including credit decisioning models. • Programming experience in Python and SQL to include statistical modelling and machine learning techniques. • Knowledge of data discovery, statistics, and data-driven model discovery, development, and validation, and tracking. • Ability to learn and adapt to new or emerging modeling techniques (e.g., LLM, GenAI , LSTM, etc.) • Experience presenting to technical, and non-technical stakeholders, including senior leadership. • Occasional travel to the customer site is expected (estimated 10-25% travel).
• Highly flexible working arrangements - work how’s right for you ! • Be part of a company that is striving for global financial inclusion and driving the future of credit .
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