Syndesus, Inc.

About the Company

Syndesus builds engineering teams in Canada for VC-backed startups in the US, and offers Professional Employer Organization (PEO) services for US companies seeking to employ workers remotely in Canada.

Additionally, Syndesus can assist foreign-born tech workers (and their U.S. employers) with options for working remotely in Canada if they cannot stay in the U.S. due to immigration/work visa issues.

Learn more at syndesus.com

Listed Jobs

Company Name

Syndesus, Inc.

Job Title

Data Scientist

Job Description

Job title: Full Stack Data Scientist Role Summary: Deliver end‑to‑end data solutions that drive product strategy and business growth. Build pipelines, design models, and create visualizations while supporting product launches and experimentation. Expectations: - Own the full data lifecycle from ingestion to executive dashboards. - Provide actionable insights for new product initiatives and market sizing. - Deploy and maintain generative AI and machine learning models in production. - Communicate findings clearly to cross‑functional teams and influence decision‑making. Key Responsibilities: 1. Build and maintain data pipelines, ensuring data quality and availability. 2. Develop data models using Kimball/Ross dimensional methodologies. 3. Design and maintain interactive dashboards using Streamlit (and other BI tools). 4. Perform deep‑dive analyses to uncover product insights and quantify opportunities. 5. Design, run, and interpret A/B and other experiments to optimize product performance. 6. Deploy and monitor generative AI / LLM solutions in production environments. 7. Partner with product and engineering teams to define, track, and report key metrics. Required Skills: - Full‑stack data expertise: data engineering, modeling, visualization, and business analysis. - Proficiency with Streamlit and other dashboarding tools. - Experience designing package models (Kimball/Ross). - Strong analytical ability with statistical / ML techniques. - Machine‑learning deployment, especially generative AI / LLMs (bonus). - Excellent written and verbal communication; ability to translate complex analysis into business recommendations. - Self‑starter, capable of working autonomously across multiple functions in a fast‑paced environment. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. - Professional certifications in data engineering or analytics (e.g., GCP Data Engineer, AWS Big Data Specialty, or equivalent) preferred. ---

Toronto, Canada

Hybrid

20-02-2026