Skip to content
Senior Data Scientist – Assistant Vice President
| Company | iCapital Network |
|---|
| Location | New York, NY, USA |
|---|
| Salary | $130000 – $170000 |
|---|
| Type | Full-Time |
|---|
| Degrees | Master’s |
|---|
| Experience Level | Senior |
|---|
Requirements
- 5+ years of experience in design, development, training, and deployment of machine learning models as a Machine Learning Engineer or Data Scientist
- Advanced degree in quantitative discipline such as computer science, mathematics, economics, engineering, or data science
- Deep understanding of the mathematics of and principles underlying machine learning
- Self-starter with a high level of maturity able to proactively solve problems, communicate with partners, and motivate others to achieve their best performance
- Proficiency in Python with experience that includes the use of TensorFlow or PyTorch and scikit-learn
- Experience building APIs and infrastructure for large scale machine learning applications using AWS
- Experience working with Large Language Models, such as GPT-4, Llama 3, and other commercial or open-source models
- Knowledge of NLP techniques, including text data preprocessing (tokenization, stemming, and text normalization, etc.) and information extraction (summarization, and question answering)
- Experience with software development best practices, including source control (Git), CI/CD pipelines, testing, and documentation
- Familiar with database integration principles and practices, including SQL and NoSQL databases and data warehouse solutions (such as Snowflake)
- Strong problem-solving skills and the ability to work independently and collaboratively in a fast-paced, agile environment
- Excellent communication skills and the ability to effectively articulate technical concepts to both technical and non-technical audiences
- Highly collaborative approach to problem solving and product development
- Strong drive to innovate and contribute to a highly collaborative, team-oriented culture
Responsibilities
- Design, develop, train, test, and deploy advanced machine learning models as part of a leading team of engineers and data scientists
- Partner with professionals throughout the company to identify opportunities to use AI to drive transformational change and translate needs into technical solutions
- Analyze data using visualization, statistical modeling, and machine learning to formulate and test hypotheses and identify patterns for model design
- Provide technical leadership for team members in the use of machine learning and the development and deployment of large-scale machine learning models
- Build and maintain RESTful APIs using Python and FastAPI
- Contribute to the improvement of Machine Learning Operations (MLOps) pipelines and procedures to ensure efficiency, scalability, and maintainability
- Ensure the reliability, robustness, and scalability of machine learning models in production environments
- Communicate with stakeholders, both technical and non-technical, and drive adoption of AI throughout the organization
- Learn from peers, industry conferences (Stanford), papers, and classes to increase advanced AI knowledge
Preferred Qualifications
No preferred qualifications provided.
