Senior Machine Learning Scientist
QlooFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need 7+ years of experience in data science, machine learning, and data analysis specifically in the Credit Risk space, along with experience building credit risk and fraud models.
Expertise in applied probability and statistics, deep understanding of machine learning techniques and algorithms, end-to-end model deployment experience, and proficiency in SQL, Python, R, with PySpark as a big plus are required.
This information is not specified in the job description. Compensation may be based on several factors, including education, work experience, and certifications.
A Bachelor's degree or higher in a quantitative field such as Computer Science, Math, Economics, or Statistics is required.
Motive emphasizes creating a diverse and inclusive workplace as one of its core values and maintains a phenomenal start-up culture.
Enhances broadband services for providers
Motive focuses on enhancing the customer experience for broadband service providers. They offer a strategy called the High Leverage Network, which helps service providers simplify their offerings, making it easier for customers to buy, own, and use their services. This approach allows providers to fully utilize their networks to improve business outcomes and stand out in a competitive market. Unlike other companies, Motive emphasizes continuous innovation as a key differentiator, enabling service providers to create a more personalized and engaging experience for their customers. The ultimate goal of Motive is to help service providers deliver a superior customer experience that drives loyalty and business success.