Senior Data Scientist (Operations)

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 modeling 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 modeling 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 health resources, virtual HIIT and yoga workouts
• A bevy of other perks including Udemy access, childcare assistance, pet insurance discounts, legal assistance, and additional discounts