Full-Stack Data Scientist
5 days ago
Brave is assisting our client, Stan, in finding a full-stack data scientist. If you’re passionate about joining a startup with $30M+ ARR, building innovative products, and enhancing creators’ content creation experiences, this is your chance to shine
**Stan’s Mission**: Empower _anyone_ to make money working for themselves.
✨ **About Us**
Stan is the _Shopify for Content Creators_, empowering anyone to make a living working for themselves on the internet.
**What We Do**
We're a mission-driven team of high-performers backed by the very best VCs (Forerunner, Pear, and Norwest) and angel investors (Michael Ovitz, Kevin Hartz).
We love what we do — helping the internet’s biggest Creators build their businesses so they can spend their time doing what they love: Creating.
**Our Growth**
As a result, over the last _3_ years, we’ve built a _$30M+/year_ business with a team of _30_.
**Join Us**
If you’re passionate about Data Science, helping others, want to see your work make a direct impact in thousands of ‘solopreneurs’ lives, and want to work alongside the very best people - we’d love to have you join our mission
**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.
**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
- Ownership Mentality_
- _10X_: Demonstrates initiative and autonomy in data-related projects that significantly impacted the business.
- _1X_: Completes tasks but isn’t regarded as a trusted partner; primarily asked to pull specific numbers or dashboards.
- Tech Stack Fluency_
- _10X_: Proficient in Python (10/10) and SQL (10/10).
- _1X_: Can hack things together but lacks mastery in Python and SQL.
- Healthy Skepticism_
- _10X_: Challenges ideas based on data, including turning down proposals when necessary.
- _1X_: Provides answers to questions but has limited experience interpreting metrics or drawing insights.
- Drive_
- _10X_: Proposes and leads experiments that are data-informed.
- _1X_: Follows initiatives proposed by leadership and plays an execution role effectively.
- Motivation_
- _10X_: Excited about driving substantial impact within the company.
- _1X_: Aiming to do well in their current role and advance their career.
**At Stan, You'll Enjoy**
- **Autonomy and Ownership**: you are in charge of your time at Stan - you will be responsible for balancing the needs of the teams your partnered with, the needs of the company, and your own net new initiatives to maximize your impact.
- **Top-of-the-Market Cash & Equity Compensation**: because our team is only comprised of the best-of-the-best, we pay the very top of market.
- **A World-Class Team**: because we’re only committed to hiring the very best, you’ll get the opportunity to work alongside and learn from a team of exceptionally skilled, kind, and effective individuals.
Pay: $150,000.00-$200,000.00 per year
Flexible language requirement:
- French not required
Schedule:
- Monday to Friday
**Experience**:
- Machine learning: 3 years (preferred)
Work Location: Hybrid remote in Toronto, ON M5J 2P1
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