Full Stack Data Scientist
Responsibilities:
- You will operate in a similar capacity to Spock in the USS Enterprise.
- You will be directly partnered with 1 or more business units / products and will enable / advise them with data and your data science capabilities to drive success.
Your day to day will consist of:
- Data Modeling (Kimball/Ross)
- Machine Learning
- Generative AI
- Experimentation
- Dashboard Building (streamlit)
- Data Deep Dives
- Metrics
- Data Pipelines
- Opportunity Sizing
More directly it will consist of doing whatever possible to maximize the likelihood and magnitude of the success of the unit / team that you are partnered with.
Why Does This Role Matter:
- You will be responsible for being a living / breathing representation of this value for the org/product(s) youre partnered with.
- To bring a data science perspective to measure / validate / and drive success.
- And then leverage your capabilities to build out the systems to make that happen.
Job Requirements:
- Experience: 3 Years
- Tools: Python SQL streamlit (bonus)
- Soft Skills: excellent communicator (written and verbal) stakeholder management storytelling (bonus)
- Hard Skills: first principles thinking / problem solving (ex: proving a math theorem) product analytics experimentation data modelling (kimball / ross) data deep dives (understanding the why and how it affects the business) ML generative AI opportunity sizing Dashboard Building creation / management of data pipelines.