Data Scientist
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Syntrace builds conversational knowledge for institutional investors. We capture, organize and synthesize private conversations into source-backed knowledge a firm can build on.
We are now hiring a Data Scientist, based in Toronto.
You will turn conversations and usage into insight: building models that measure the quality of what our AI delivers, finding patterns in how customers use the product and designing the experiments that make it better. You will work closely with our product and engineering teams.
Our users trust us with the most sensitive conversations they have. That makes security part of the product, not a feature on top of it.
What you bring:
- Several years as a data scientist, ideally at a fast-growing company.
- Strong Python and SQL, and a solid grounding in statistics.
- Clear thinking.
What you get:
- A founding role with real ownership.
- A senior team that has scaled companies before.
- Hard problems where accuracy is the product.
To apply, send a short note to careers@syntrace.com about yourself.
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More about this job
Responsibilities
Build models to measure the quality of the company’s AI outputs and analyze patterns in customer product usage. Design experiments to improve the product in collaboration with product and engineering teams.
Requirements
Several years of data science experience are requested, ideally at a fast-growing company. Candidates should have strong Python and SQL skills, a solid grounding in statistics, and clear thinking.
Skills
- Python
- SQL
- Statistics
- Data Science
- Modeling
- Data Analysis
- Experiment Design
- Product Analytics
- AI Quality Measurement
- Clear Thinking
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Science & Research
Keywords
- Data Science
- Python
- SQL
- Statistics
- Modeling
- AI
- Conversational Knowledge
- Institutional Investors
- Private Conversations
- Source-Backed Knowledge
- Product Analytics
- Customer Usage
- Experiment Design
- Product Improvement
- Data Analysis
- Accuracy
- Security
- Software Development