Mid-level Data Analyst
Lean Tech
NumpyPandasPostgresPythonSQL
Job Level
Lead
Tech Stack
NumpyPandasPythonSQLTensorflow
About the role
- As a Staff Data Scientist reporting to the VP, Data & Strategic Analytics in our Data & Analytics team, your purpose will be to shape Booksy’s data strategy and deliver insights that directly influence growth.
- Work on challenges — from optimising activation funnels and personalising user experiences to building predictive models that power our marketplace.
- Guide best practices, influence product direction, and mentor other data professionals.
- Shape data strategy and deliver insights that influence growth.
- Collaborate with product and analytics teams; report to VP, Data & Strategic Analytics.
Requirements
- Essentially, to ensure you succeed in this role you’re going to need:
- Proven track record as a Data Scientist in a high-growth tech, SaaS, or marketplace business. Ideally in Lead/Staff positions.
- Deep expertise in SQL and Python (Pandas, NumPy, TensorFlow).
- Strong experience with experimentation (A/B testing), statistical analysis, and causal inference.
- Demonstrated ability to build and deploy machine learning models at scale, ideally with Google Vertex AI.
- Excellent communication and stakeholder skills, with a product-oriented mindset.
- At a minimum we require conversational level English language skills.
- It will also help you to have:
- Experience working in a two-sided marketplace.
- Hands-on expertise with Looker development and advanced marketing analytics (MMM, MTA).
- An interest in the beauty and wellness industry.
