Founding Data Engineer / Scientist
Location: SF - Bay Area / Los Angeles
Role type: Full time
Experience: 5+ years
Role
We are seeking an exceptional Founding Data Engineer/Scientist to join our core team and
shape the data-driven foundation of our company. This unique role will blend the responsibilities
of data engineering and data science, allowing you to make a significant impact on both the
infrastructure and the insights derived from our data. You will play a pivotal role in building
robust data pipelines, developing advanced analytics models, and empowering decision-making
across the organization.
As a founding member, you'll thrive in a fast-paced startup environment where you can wear
multiple hats, tackle diverse challenges, and directly influence the company's trajectory.
Responsibilities
- Build the data infrastructure from the ground up: Design and implement the pipelines,
warehouses, and tools that collect, process, and store the data that powers our platform.
- Transform raw data into actionable insights: Develop models, algorithms, and
visualizations that help creators understand their audience, optimize their content, and
grow their businesses.
- Design infrastructure for, and run A/B experiments to evaluate the impact of algorithm
and product feature changes, and drive data-informed decisions.
- Collaborate with design and engineering: Work closely with product managers and
engineers to integrate data insights into our products, making them more valuable and
engaging for creators.
- Drive data-driven decision-making: Empower the company with data-driven insights to
inform product strategy, marketing efforts, and overall business goals.
- Conduct exploratory data analysis to identify patterns, uncover opportunities, and drive
data-informed decision-making.
- Champion a data-centric culture: Foster a culture of data literacy and curiosity
throughout the organization, encouraging everyone to use data to make informed
decisions.
What you should have
- 5+ years of experience in data engineering, data science, or a related field.
- Strong data engineering and data science background
- Expertise in data modeling and ETL
- Proficiency in Python and SQL
- Experience with cloud-based data platforms
- Excellent communication and problem-solving skills
- Advanced degree preferred