Senior Data Scientist, iCapital
Assistant Vice President
$130-170k
+ Equity & annual performance bonus
In the office Monday-Thursday
4 days a week in office
Fintech platform for alternative investments
Be an early applicant
Fintech platform for alternative investments
1001+ employees
Be an early applicant
$130-170k
+ Equity & annual performance bonus
In the office Monday-Thursday
4 days a week in office
1001+ employees
Company mission
To power the world’s alternative investment marketplace.
Role
Who you are
- 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
What the job involves
- The Principal Data Scientist will play a key role in designing, developing, and deploying advanced machine learning models that solve some of the most challenging problems in the investment management industry
- This individual will be a key leader in a highly collaborative environment that includes software engineers, data engineers, product managers, and business leaders
- The ideal candidate will be able to learn, innovate, and build new technology that impacts an entire industry while getting exposure to the latest technologies and working for a market leading firm
- 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
Our take
Alternative investing can yield huge profits, but it can often be inaccessible, even to enterprises. iCapital solves this problem by guiding large-scale businesses through the alternative investing process.
Since launching in 2013, iCapital has provided enterprises with an investing marketplace. Its focus has been on banking, wealth management, and asset management companies, and iCapital now serves clients such as JP Morgan, Evercore, and Rockefeller. As of February 2023, the company services over $153 billion in global client assets, clear evidence of industry confidence in the company.
iCapital's impact on the financial world is undeniable, forging strong and profitable partnerships with leading institutions like Morgan Stanley. With a proven track record and a rapidly growing platform, iCapital is poised for significant further expansion in the years to come.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 8 rounds)
Dec 2021
$50m
LATE VC
Jul 2021
$440m
GROWTH EQUITY VC
Total funding: $680.6m
Company HQ
Murray Hill, New York, NY
Leadership
Lawrence Calcano
(CEO)Previously worked as Director of Capitol Acquisition Corp., and served as Director of Vibrant Emotional Health for 10 years.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 11 more jobs at iCapital