Senior Data Scientist - Data Science & AI

The Data Science & Artificial Intelligence (AI) team is responsible for the design, development & support of data driven tools to power critical business decisions. This team is shaping the future of the mortgage lending industry, revolutionizing how millions of customers shop for mortgages across channels, infusing Artificial Intelligence (AI) & Machine Learning (ML) across the enterprise to delight our customers as they make one of the most important decisions of their life – getting a mortgage.
We are looking for a Senior Data Scientist to join our growing team. Reporting to the Sr. Director of Data Science & AI, this individual will design, develop and implement DS & AI analytical models for key business units across sales, operations, risk, analytics, and technology to generate meaningful data-driven insights for our business. This position represents a unique opportunity to join a growth stage company that is seeking to get to the next level leveraging data science & machine learning across their business. We are seeking people excited about that opportunity who are looking to make things happen!
At AmeriSave, we're one team with one shared dream - to be the best. We’re dedicated to building an inclusive culture where employees are empowered and supported to do their best work - whether from home or in the office.  Why AmeriSave?What we’ll find at AmeriSave is that we don’t just set you up for success, we set you up to WIN. Team members are provided with cutting edge origination software, CRM, marketing automation, data reporting / analytic software, and leading mortgage application technologies to help make more deals happen. Our culture at AmeriSave is casual and fun, and we offer competitive compensation and benefits. AmeriSave is the company you’ve been waiting to work for!

Responsibilities:

• Explore, identify, and analyze the right datasets from internal & external sources to build machine learning models to predict & optimize customer behavior, solve critical business problems, build business cases, and help deploy AI/ML solutions to production
• Provide thought leadership in appropriate usage of AI/ML tools to solve customer problems that touch multiple areas of the business
• Conceptualize, design & implement data science algorithms that maximize AmeriSave Mortgage’s competitive advantage
• Mentor junior data scientists across multiple projects & workstreams
• Keep up with the latest trends in AI/ML and identify opportunities to embed cutting edge AI/ML methods to drive the business
• Conduct analytics methodology reviews in collaboration with other data scientists and engineers; contribute to a growing internal knowledge base of data science best practices
• Create a culture of continuous improvement, using lessons learned and feedback from business partners to modify and improve all existing processes and creating new processes/best practices
• Partner with cross-functional teams to understand key business issues and challenges and create a solution vision to solve problems and drive value

Requirements:

• Requires at least a Master’s (preferably Doctorate) or foreign equivalent degree in Operations Research, Data Science, Econometrics, or other applied mathematical discipline
• 4+ years of relevant experience in applying predictive & prescriptive analytics to solve business problems or building data products
• Strong hands-on proficiency with common data science & machine learning software & technologies (Python, R, SQL); strong familiarity with software engineering & programming concepts and best practices
• Strong expertise in machine learning algorithms and frameworks, along with extensive experience working with large datasets, data blending and structuring to feed production grade ML pipelines
• Deep expertise and experience with machine learning & AI techniques, including applied statistics, mathematical optimization, linear programming, monte-carlo simulation, reinforcement learning and causal inference
• Strong experience leading analytical modeling for multiple customers and data products, presenting data driven insights to business stakeholders
• Strong ability to establish productive working relationships and influence critical decisions across multiple teams in a fast-paced environment

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