What are the responsibilities and job description for the Data Science Engineer position at Ensemble VC?
About Ensemble VC
At Ensemble VC, we’re not just investors in advanced tech — we’re builders. We’re a data-driven venture capital firm that has been using our proprietary data science platform to identify hidden opportunities and create game-changing partnerships. With half our team made up of engineers and data scientists, we’re constantly pushing the boundaries of how technology can transform venture capital.
In addition to our core fund, we are building an analytical seed fund with two of the world’s premier seed investors. It’s a bold idea with incredible potential, and we’re looking for a Data Engineer to take the lead in building the technical foundation for this partnership.
This role is for someone ready to bet on themselves—a highly entrepreneurial position where success could lead to long-term opportunities and major impact.
The Role: Build the Tech that Builds the Future
As our Data Science Engineer, you’ll work closely with a team of engineers, data scientists, and Ensemble’s leadership team to enable data-driven investing. You’ll design and build data pipelines on AWS that empower smarter investing, seamless collaboration, and next-level efficiency.
This isn’t just about coding—it’s about solving problems, creating value, and shaping the future of data-driven venture capital. You’ll have the freedom to experiment, innovate, and iterate quickly.
What You’ll Do
- Collaborate with data scientists, software engineers, and investors to develop data pipelines that deliver actionable insights and data to drive Ensemble VC’s startup investments, while ensuring data accuracy and availability.
- Maintain data transformation logic while partnering with the data team to evolve, optimize, and integrate critical predictive models and create scalable data solutions.
- Partner with the investment team to pinpoint opportunities to enhance existing processes for new company identification, reporting, and ad-hoc analysis.
- Define data engineering standards and best practices, and promote operational excellence.
- Continuously improve ongoing reporting, data ingestion, and analysis processes.
What We’re Looking For
- 3 years of data engineering experience with a solid foundation in data modeling, warehousing and building ETL pipelines
- Solid track record of manipulating, processing, and extracting values from large datasets to build ML and AI pipelines to assist data science teams.
- Technical proficiency: Hands-on experience and advanced knowledge of:
- Relational and document databases
- Data Modeling and Warehousing
- Cloud services (AWS, GCP, Azure)
- Python and data frame libraries (e.g., Pandas)
- Proven ability to take ownership of customer issues, effectively analyze and troubleshoot problems to deliver results, and communicate solutions clearly while collaborating with colleagues
Why This Role is Different
This isn’t just a job—it’s a unique chance to be a trailblazer. Here’s why:
- Entrepreneurial opportunity: This role is a trial for a long-term initiative. Success here could lead to a major career step and a lasting impact on the industry.
- Work with the best: You’ll collaborate with world-class investors, engineers, and data scientists to build something truly innovative.
- Creative freedom: We value bold ideas and encourage experimentation to find the best solutions.
- Mission-driven culture: Ensemble VC is all about challenging the status quo and driving progress through technology.
What We Offer
- Competitive compensation package and benefits, including health and dental insurance
- Impactful work: Build technology that shapes the future of venture capital.
