Senior Engineer & Data Scientist
aVenture is a San Francisco, California (USA) based financial technology startup building the future of venture capital research software. Our mission is to make venture capital investing more accessible and safer for everyone with better data.
aVenture is currently participating in the prestigious Techstars New York City accelerator (where less than 1% of startup/founder applicants are admitted) and is looking for an exceptional engineer to join our founding team. Joining our team would instantly bring you into the Techstars program and all of its resources for life.
A successful candidate accepting this position should expect to spend some time in San Francisco or NYC to work closely with the team.
Job Overview: We're looking for a senior engineer & data scientist with experience as a full-stack engineer, including managing large datasets and building scalable infrastructure to lead our engineering and data science efforts. You will work closely and directly with the founding team to get products to market.
1. Key Responsibilities:
Engineering Leadership: Lead and oversee the development and management of aVenture's data infrastructure, including databases capable of handling millions of records at high speed
Full-Stack Development: Design, develop, and maintain front-end (React) and back-end (Python/Node.js/Next.js) components of our platform
Data Science Expertise: Lead and collaborate with other team members on financial research efforts, looking for insights and observations in data sets
Data Scraping: Conduct large-scale web scraping of publicly published content for data ingestion
Model Building & Analysis: Develop and implement linear regression models to extract valuable insights from financial datasets
Data Pipelines: Implement and maintain robust, scalable data pipelines to support analytics and AI-driven insights
AI: Direct the deployment and integration of advanced AI, ML, and Large Language Models (LLM) into the company's data ecosystem
Governance: Ensure data quality, safety, and consistency across various platforms, enforcing best practices in data governance
Collaborative: Willingness, desire, and ability to closely collaborate daily with a very small technology startup team on nearly all aspects of product building
Technical Prowess: 5+ years of experience with full-stack development and several years of data engineering experience, specifically in managing large-scale financial and/or research-based SQL databases
AI/ML: Deep understanding and practical experience in deploying AI and Large Language Models in a research and financial context
Data Scientist: Strong proficiency in programming languages like Python, Java, or Scala and experience with big data technologies
Education: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
Technical Leadership: Excellent leadership skills with experience managing engineering staff
3. What We Offer:
An Early Opportunity: A founding role at a fintech backed by Techstars based in Silicon Valley and led by an experienced fintech CEO with a previous successful exit for the founding team
No recruiting, talent, or software agencies will be used.