Principal Data Scientist - Vice President

iCapital is powering the world’s alternative investment marketplace. Our financial technology platform has transformed how advisors, wealth management firms, asset managers, and banks evaluate and recommend bespoke public and private market strategies for their high-net-worth clients. iCapital services, approximately $222 billion in global client assets invested in 1,778 funds, as of February 2025.

 

iCapital has been named to the Forbes Fintech 50 for seven consecutive years (2018-2024); a three-time selection by Forbes to its list of Best Startup Employers (2021-2023); and a four-time winner of MMI/Barron’s Solutions Provider award (See link below). 

 

About the Role

iCapitals AI team is transforming the investment management industry by using the latest advancements in Artificial Intelligence. The Vice President of Data Science will play a key role in designing, developing, and deploying advanced machine learning models that solve some of the most challenging problems in finance and technology today. This role will be the hands-on leader of data scientists and engineers who are developing the next generation of AI models for the FinTech industry.  This individual will lead new product development, working with stakeholders across the firm and industry to identify how AI can be used to transform industry processes and generate new insights and transforming those ideas into tangible solutions that will impact millions of investments throughout the world.

Responsibilities

• Design, develop, train, test, and deploy advanced machine learning models as the leader of a team of engineers and data scientists.
• Develop, train, and test models using Python in a cloud environment using a diverse set of structured and unstructured data sources.
• 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.

 

Qualifications

• 8+ years of experience in design, development, training, and deployment of machine learning models as a Machine Learning Engineer or Data Scientist
• Advanced degree in a quantitative discipline such as computer science, mathematics, economics, engineering, or data science
• Deep understanding of the mathematics of and principles underlying machine learning.
• Experience managing teams of high performing engineers and/or data scientists or equivalent experience managing AI-based products or services
• High level of maturity, including the ability to proactively identify and solve problems and create a positive culture for team members and colleagues that inspires the best performance of professionals at different levels of their career
• 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
• Strong drive to innovate and contribute to a highly collaborative, team-oriented culture

 

Benefits

The base salary range for this role is $180,000 to $220,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.