Data Scientist - Machine Learning

Python, pandas, numpy, scikit learn, tensorflow, H2O, Azure ML, Amazon Services, SQL
Full Time
$120,000 - $125,000
Travel not required

Job Description

Artificial Intelligence and Machine learning are at the core of modern FinTech. You would be part of a new, cutting-edge Artificial Intelligence and Machine Learning center of excellence, tasked with developing innovative solutions for helping the business grow and become more efficient.  Enjoy the experience of working on high-impact, Silicon Valley style projects, while living anywhere in the country. You also get the learn about how big data is revolutionizing the world of consumer financial services.
RESPONSIBILITIES: The AI/ML team is a newly formed team within the Company. The team is diverse, passionate and on a mission to build state-of-the-art Artificial Intelligence(AI) and Machine Learning(ML) models that support all facets of the growing digital and retail business. We are just getting started on building a Machine Learning platform as well as a customer 360 profile with modern technology so this is a huge opportunity to shape the future vision of the company.  We value collaboration, take ownership mindset, and the importance of thinking like an engineer with the curiosity of a scientist.
  • Responsible for AI/ML model development and deployment
  • Work on a modern AI/ML platform
  • Evangelize AI and ML across the company as we make the AI transformation of the company
  • Work in a cross-functional capacity across all business units including product, marketing, operations, risk, fraud, compliance, and finance
  • Use every dataset at disposal to build a feature store for AI/ML models as well as a customer 360 profile
  • Leverage software engineering best practices for quality, scalability, maintainability, and robustness
  • Scope and build model monitoring services for the team
• Master’s degree (PhD. Preferred) in a quantitative field such as Decision Science, Data Science, Mathematics, Statistics, Physics, Computer Science, Operations Research or EngineeringEXPERIENCE:
  • 2-5 years experience with building and deploying ML models into production
  • Strong development experience with Python is a must along with ML libraries (pandas, numpy, scikit learn, tensorflow)
  • Familiarity with H2O, Azure ML, and Amazon Services
  • Experience in SQL and database optimization
  • Ability to thrive in a fast-paced, team-oriented environment
  • Experience with deep learning frameworks such as Tensorflow or Pytorch is nice to have
  • Experience working in a fintech or finance/banking is nice to have but not required
Dice Id : 10494670
Position Id : 7208128
Originally Posted : 2 months ago
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