Compunnel Inc.
Data Scientist
Toronto, Ontario, Canada · Contract
Sponsorship not specifiedDetected 164 days ago
PythonGitDatabricksAzureMachine LearningData ScienceData VisualizationLLMsRAGMLOpsStatisticsSalesCommunicationCollaborationProblem SolvingMentoringMicrosoft Office
Stay score
odds of building a lasting career here
42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- W e are seeking a Data Scientist with experience supporting sales workflows, ideally within the insurance industry, to contribute to data preparation, insight generation, and evaluation activities for our GenAI-powered sales enablement platform.
- This role blends strong analytical skills with an understanding of advisor and sales team operations, requiring ownership of moderate-scope analytics projects, translation of data into business recommendations, and collaboration across diverse data systems.
Responsibilities
- Collaborate with product, sales, and business stakeholders to understand workflows, data requirements, and performance metrics.
- Build dashboards and reporting assets to track adoption, performance, and business impact.
- Support prompt evaluation, annotation, and quality assurance tasks for AI outputs.
- Generate actionable insights to optimize sales processes and improve advisor/end-user experiences.
- Deliver analytics-enabled solutions that support business goals and process improvement.
- Document data sources, contribute to structured processes, and support closed-loop tracking.
- Engage subject matter experts to understand business processes and build collaborative networks.
Requirements
- Bachelors degree in Statistics, Math, Computer Science, Engineering, or equivalent technical experience.
- Working knowledge of classical statistical methods (regression, clustering, PCA, decision trees, survival analysis).
- Experience navigating large, diverse datasets using structured analytical methods.
- Comfort with data modeling concepts and relational databases.
- Experience with MLOps, Azure, Databricks, or RAG pipelines.
- Certifications (if any) None required
Nice to have
- Prepare, clean, and analyze datasets for training, validating, and evaluating GenAI/LLM features.
- Contribute to structured knowledge bases, taxonomies, and metadata supporting RAG systems.
- Analyze complex datasets and connect data sources across multiple internal systems. ranslate analytical findings into business language and recommend solutions to stakeholders.
- Provide guidance and mentorship to junior analysts or data scientists.
- 35 years of experience as a Data Analyst, Data Scientist, or in a related analytical role.
- Strong Python skills.
- Proficiency with BI tools (Power BI, Tableau, or similar).
- Background working with sales datasets
Apply directly at Compunnel Inc. →Create a free account for alerts like thisView Compunnel Inc. immigration profile
This listing is sourced directly from Compunnel Inc.'s careers page and normalized into a canonical job model.