Senior Data Scientist

Company Overview:

Lev has completely reimagined the financing process with the industry's first digital financing platform. Our platform centers around a dynamic marketplace and powerful SaaS tool, bringing together thousands of lenders and engaged, high-quality borrowers. At the core of this platform lies a powerful matching algorithm, ensuring seamless connections between the right lenders and borrowers for every transaction.

With Lev's innovative technology, we have successfully facilitated over $2 billion in transactions in the past 2 years, and we're just getting started. Our dedication to excellence has garnered the support of renowned venture capital firms, banks, and commercial real estate (CRE) companies, who have funded us with over $100MM to solidify our position as the operating system for commercial real estate capital markets.

About the Position

We are looking for a passionate problem solver to join our team as a Senior Data Scientist at Lev. In this role, you'll get to wear many hats and be responsible for multiple projects, including developing and enhancing our recommendation systems and predictive models. You'll work directly with our CTO, collaborating on new features and products, and ensuring they are delivered on time and function properly.

Our Current Stack Consists Of

Programming Languages: Python, SQL

Data Libraries: Pandas, NumPy

Data Platforms and Tools: Databricks, Fivetran, OpenSearch

Data Visualization Tools: Streamlit, Matplotlib
Backend Technologies: Flask, FastAPI

Databases: PostgreSQL , MongoDB.

Roles and Responsibilities

• Develop and deploy scalable predictive models and recommendation systems.
• Utilize OpenSearch for advanced data search and analytics capabilities.
• Build interactive data applications and dashboards using Streamlit.
• Analyze complex datasets to extract actionable insights that drive business decisions.
• Implement and maintain data pipelines and ETL processes using tools like Databricks and Fivetran.
• Collaborate closely with product, design, marketing, and engineering teams to gather requirements and deliver data-driven solutions.
• Lead projects from ideation to completion, including deployment into production environments. Stay up-to-date with the latest advancements in machine learning and AI, including working with Large Language Models (LLMs) like OpenAI and Anthropic.
• Contribute to the architecture and design of our data infrastructure.
• Perform code reviews and ensure best practices in code quality, testing, and documentation.
• Discuss, implement, and document data science processes, methodologies, and best practices.
• Foster a culture of excellence, collaboration, and innovation.

What You'll Need

• Bachelor's or advanced degree in a quantitative field such as Computer Science, Statistics, Mathematics, or equivalent experience.
• 5+ years of experience in data science or related fields.
• Proficiency in Python and experience with data science libraries (Pandas, NumPy, scikit-learn).
• Strong SQL skills and experience with relational databases.
• Experience with OpenSearch or similar search and analytics engines.
• Proficiency in building data applications with Streamlit or similar frameworks.
• Experience with data visualization tools like Tableau, Power BI, Matplotlib, or Seaborn.
• Familiarity with backend frameworks such as Flask or FastAPI.
• Experience with Databricks, Fivetran, or similar data engineering tools.
• Proven track record of building and deploying machine learning models in production environments.
• Excellent problem-solving skills and a passion for working in a fast-paced, high-growth environment.
• Ability to take business ideas from the whiteboard to production deployment.

Bonus Points If You Have

• Experience in financial services, fintech, machine learning, and/or AI.
• Experience with Natural Language Processing (NLP).
• Familiarity with the latest LLMs, such as OpenAI's GPT-4 or Anthropic's models.
• Experience in high-growth companies.
• Publications in relevant journals or conferences.
• Experience with database management and optimization using OpenSearch.

Location

This position is on-site at our New York office located in Union Square.