Sr. Data Scientist

The Role As the Senior Data Scientist, you will lead initiatives targeted to drive efficiency,  scalability, and operational performance using AI/ML. In this role, you will source,  manage, and analyze large volumes of structured and unstructured data, synthesize results, and communicate/collaborate on the results with key stakeholders to drive  strategic decision making in the organization. 
 This role will require heavy collaboration across other data science, engineering,  and analytics teams while also acting as an individual contributor as Operations  build out Data Science skills and abilities. The ideal candidate will be deeply  immersed in data science with hands-on modeling experience, driven by a passion  for uncovering insights that fuel Prosper's growth and customer strategies. This role  will be heavily invested in financial operations, particularly collections but inclusive  of loan verifications, customer servicing, sales strategy, complaints, and customer  experience. You will serve as subject matter expert on AI/ML in Operations and  eventually cultivate a team of Data Scientists to deepen our strength in this space. 

Problems You Will Solve

•  Responsible for the design and development of AI/ML solutions in Operations.  Spearhead innovation and application development to automate/optimize  current workflow and process for efficiency enhancement. Ensure the end-to-end solution meets all technical and business requirements.  
• Expertise with modeling techniques: NLU/NLP and GenAI, ANN,  Decision Tree, and other statistical modelling techniques.   
• Develop creative ways to find and use data that significantly impact our key  business metrics.  
• Independently create proposals and identify opportunities to drive efficiency in operational processes and AI/ML.   
• Design and execute tests having clear success metrics, be able to provide  synthesized analysis of the results and manage solutions into production.  
• Work cross functionally to shepherd projects from ideation into production  working across Legal, Risk, Ops Teams, Product, Engineering to ensure  efficiency.   
• Develop and maintain procedures for tracking data sources, data lineage, data  quality, completeness, redundancy vs replication, data dictionary, data models,  metadata and master data.  
• Build production models used to generate ‘next best action’ strategies across  customer journeys in Collections and Sales.  
• Own operations priorities and roadmap, acting as liaison across all products and  functional areas to deliver AI solutions for the organization. AI solutions could  include, but not limited to, analytical deployments/proofs of concept,  engineering developed AI solutions, and external AI service providers.   
• Continuously develop and demonstrate improved modeling methodologies;  advise on best practices and methods for evaluating and measuring experiments. 
• Assess the potential usefulness and validity of new statistical approaches and  data sources. 

About You

• Bachelor’s or higher degree in quantitative field such Mathematics, Statistics,  Computer Science, Engineering, Finance, Economics, Physical Sciences or  related technical field - Postgrad degree a plus.  
•  7+ years of Data Science experience with 5-7 years of experience in fintech/finance applying  statistical and machine learning predictive techniques and 3+ years of analytics  management experience.  
•  Expert level proficiency and experience in python and SQL. 
•  Familiarity with Google cloud services stack including Big Query, BQML, DBT,  Looker, etc (preferred).  
•  Experience with Github and Bitbucket or similar source control mechanisms/tools (preferred).  
•  Hands-on experience leveraging large sets of structured and unstructured data  to develop data-driven tactical and strategic analytics and insights using GenAI,  ML, NLP, ANN and other modelling techniques.  
•  Solid understanding and habitual use of coding best practices / model  documentation requirements. 
•  Strong communication & collaboration skills to communicate technical subject matter to other team members and Senior Management team. 
• Proven ability to supervise and direct multiple data science projects in parallel and make critical decisions independently. 
•  A passion for solving complex problems in operations and execute test plans in a dynamic environment.  

What We Offer

• The opportunity to collaborate with a team of creative, fun, and driven colleagues on products that have an immediate and significant impact on people's lives
• The opportunity to work in a fast-paced environment with experienced industry leaders
• Flexible time off, comprehensive health coverage, competitive salary, paid parental leave
• Wellness benefits including access to mental