About
Cyndx is an Artificial Intelligence and Natural Language Processing (NLP) platform that offers 'search and discovery' solutions for entrepreneurs, start-ups, investors, and acquirers. Our subscription-based solution helps enhance capital raising, acquisitions, and other business opportunities. Our platform hosts data on over 20 million companies world-wide and is used by some of the largest financial institutions in the world.We are looking for a Data Scientist to work on leveraging text and financial data to build machine learning models that encapsulate the ecosystem of a banker's lifecycle.
We are looking for individuals who thrive in fast-paced environments, are creative problem solvers and get their kicks from implementing solutions for non-trivial machine learning problems designed for the financial world and working with a team who raises the bar. In this role, you will be working with a team of AI engineers and data scientists and are responsible for the design and development of proprietary AI algorithms, including but not limited to fine-tuning large language models for semantic search engines, financial data point estimations, recommendations, and trend predictions, that would make Cyndx unique in the Fintech market space.This role will be located in either our New York or out West Palm Beach office.
Please note that we are currently working on a hybrid model and are in the office for four days and remote for one day each week. Remote work is not a possibility in this role.
Learn More
Want to learn more about Cyndx? Read some of our recent press coverage:
- Forbes: Couples's Complementary Skills build Successful Investment Discovery Platform
- Business Insider: How Investors are Getting Data on the Private Markets
- How AI and NLP are Changing the Way we Invest in Private Markets
- Cyndx Runs on Cube.js
Responsibilities
- Research and detect valuable data sources and automate collection processes
- Perform preprocessing of structured and unstructured data
- Review large amounts of information to discover trends and patterns
- Create predictive models and machine-learning algorithms
- Modify and combine different models through ensemble modeling
- Organize and present information using data visualization techniques
- Develop and suggest solutions and strategies to business challenges
- Work together with engineering and product development teams
Requirements
- 2+ years' experience of working as Data Scientist with significant experience working in productionizing code and deploying models to cloud environments.
- Significant experience in data mining, machine-learning and operations research
- Good knowledge of Python and SQL. Experience working in Python outside of Jupyter notebooks is a must.
- Strong math and analytical skills, with business acumen, preferably with experience in the investment banking space.
- Strong communication and presentation skills
- Good problem-solving abilities
- Expertise with ML libraries like Numpy/Pandas/Scikit-learn
- Deep understanding of machine learning algorithms including but not limited to regression models, classification models, clustering, boosting, transformers, and neural networks.
- Strong research mind to be able to read and understand the latest research in AI and NLP
- A creative mindset to not just solve problems, but to come up with ideas that would further enhance our products
- BSc, MSc or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred.
