Data Scientist II

What we’re building

• Leveraging advanced statistical methods to identify optimal interest rates or product prices for clients
• A Generative AI-powered chatbot-like search platform for sales and product teams
• An AI model to move foreign currency conversions up the payment stream
• NLP techniques for generating near real-time insights into client inquiries

Who we’re looking for

If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role.

Responsibilities

• Identify opportunities for leveraging internal and external data to drive business solutions
• Collaborate with stakeholders to drive the company forward and shape the future of data science within GPS
• Support the development, research, and data science in GPS by helping to set long-term vision and strategy for selective products, and collaborating with Data Scientists to meet the needs of the "users"
• Work closely with other Data Scientists to set technical strategy and prioritize development work

Required Skills

• Bachelor’s degree in a quantitative field such as: computer science, math, and physics
• 3-5 years of data science experience working in a highly technical environment
• Extensive experience with Excel and PowerPoint and an insatiable curiosity to understand how things work
• Solid understanding of data structures and algorithms with substantial Python experience
• Understanding of how to frame a data science problem and a high-level understanding of key machine learning algorithms (KMeans, boosting / bagging models, etc.)
• Critical thinking skills; able to take feedback and transform it into strategic action
• Strong verbal, communication, technical design and documentation skills

Preferred Skills

• Graduate level degree in a quantitative field such as, computer science, math, and physics
• Experience with data visualization tools, such as D3.js, GGplot, and Matplotlib

Skills

• Agile Practices
• Application Development
• DevOps Practices
• Technical Documentation
• Written Communications
• Artificial Intelligence/Machine Learning
• Data Visualization
• Presentation Skills
• Risk Management
• Adaptability
• Collaboration
• Consulting
• Networking
• Policies, Procedures, and Guidelines Management