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Data Scientist
Skills
Computer ScienceData EngineeringData ScienceMachine LearningNatural Language ProcessingOralPattern Recognition
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Relish pouring over messy data to find patterns and train machines to do so with high accuracy and recall
- 3+ years of Data Science experience with a focus on product oriented work
- Expert level understanding of Python SQL and cloud technologies like AWS
- Proficient understanding of advanced machine learning techniques
- Experience in Computer Vision NLP and or Deep Learning is a bonus
- Passionate about learning new technologies and collaborating with colleagues
- Self-starter who seeks out interesting problems and solutions
- Empathetic with strong verbal communication skills capable of talking to both engineers and customers
Nice to have
- Computer Vision
- NLP
- Deep Learning
Day to day
- Apply your expertise in quantitative analysis data visualization and artificial intelligence to find insights and patterns that can be used to automate manual tasks
- Get an opportunity to work on a new product this product leverages AI to automate manual costly lender workflows
- Develop data science products that perform automated processes/quality checks on a wide array of closing documents
- Work with other members of Data Science team on computer vision and NLP tasks
- Build and maintain multiple production services implementing bug fixes and code quality improvements
- Build processes that enable our less technically skilled Data Science operations team to own mature product repos
- Work cross-functionally with Product Engineering Customer Success to coordinate efforts to create and improve Closing Quality Control Products overall
