Data Scientist
New York, NY 10002 US
Job Description
Our client, a leading financial institution, is seeking an outstanding Data Scientist to join their Data and Analytics team. The ideal candidate will be working across Product Management, Data & Analytics, and Technology teams.
Responsibilities
- Build and integrate AI/ML/DS tools and workflows to address business needs and increase business efficiency.
- Build and leverage new and existing tools for Natural Language Processing (NLP), Optical Character Recognition (OCR), and intelligent document processing tasks.
- Build and leverage models and data for recommendation systems and engines, including for sales, marketing, and business efficiency tasks.
- Utilize and improve Machine Learning Operations (MLOps) pipelines and procedures.
- Research, scope, train, deploy, and support machine learning models through a full development lifecycle.
Qualifications
- 4-8 (mid-career) years of experience as a researcher or developer in data science or related fields
- Masters in STEM or a technical field
- Experience with common web development languages including Ruby, HTML and/or Javascript
- Experience with web development and database integration principles and practices, including SQL and NoSQL databases
- Experience with software development best practices, including source control (Git), CI/CD pipelines, testing, and documentation
- Experience with cloud computing platforms including AWS, Azure, and/or GCP
- Degree or Advanced Degree (Masters and/or PhD) in STEM or a technical field
- A portfolio of personal projects on Github, BitBucket, Google Colab, Kaggle, etc.
- Publications, conference talks, and/or patents in AI/ML/DS or related fields
- Experience working in a Finance or Financial Technology job with Alternative Investments experience highly preferred
- Proven Data Science experience
- Research experience in Al/ML
- Interest in working on a highly technical team
- Excellent verbal and written communication skills
- Experience with the full life cycle of AI/ML/DS tools: development, implementation, and maintenance
- Strong experience programming in common data science languages including Python, R, and/or Matlab
- Strong experience with machine learning frameworks and tools such as Tensorflow, Tesseract, PyTorch, and/or Keras
Meet Your Recruiter
Rachel Newell
VP of Recruiting
A California native who packed her things and moved to NYC on a whim in 2011. By blind luck, she fell into the world of recruiting in March of 2012. A fun fact people probably wouldn't guess about her, most likely because she has a tendency to trip over her own two feet, is that she played Division 1 college soccer at Arizona State. It was there that she also found her love for travel when she studied abroad in Rome. If Rachel isn’t matchmaking people with new jobs, you can find her globetrotting around exploring new corners of the world.