Data Scientist

Role : Data Scientist

Location: Hybrid(2 -3 days ) - Toronto

Job type: Contract till 31/12/2026 - High possibility of Extention

Pay : CAD $60 /Hour

Start date : Immediate

Description:

We are looking for a hands-on Data Scientist to own the full lifecycle of machine learning projects—from partnering with business stakeholders to deploying production-ready models. This role requires strong analytical thinking, solid communication skills, and the ability to translate business needs into scalable data solutions.

You will collaborate closely with Data Engineers and MLOps teams to deliver impactful, data-driven insights and models.

What You’ll Do

- Partner with business stakeholders to gather requirements and translate them into data science solutions
- Work alongside Data Engineers to support data ingestion, ETL processes, and data readiness
- Perform
exploratory data analysis (EDA)
, including data cleaning, feature engineering, and transformation
- Build and implement traditional machine learning models (non-GenAI), including:
- Classification
- Regression
- Clustering
- Validate and test models to ensure performance, reliability, and scalability
- Document models, methodologies, and findings clearly for technical and non-technical audiences
- Collaborate with MLOps teams to deploy, monitor, and maintain models in production

What We’re Looking For

- 2+ years of experience building and deploying machine learning models in production environments
- 2+ years of experience working with large datasets (data ingestion, processing, merging, aggregation)
- Strong programming skills in
Python
and
SQL (or SAS/SQL)
- Hands-on experience with libraries such as:
- Pandas
- NumPy
- SciPy
- scikit-learn (or similar)
- Solid understanding of the end-to-end ML lifecycle
- Strong problem-solving and analytical skills
- Excellent communication skills, with the ability to work cross-functionally with business and technical teams

Nice to Have

• Experience working with MLOps frameworks or production pipelines
• Exposure to cloud data platforms (e.g., BigQuery, Redshift, Snowflake)
• Experience in fast-paced, cross-functional environments

What Success Looks Like

• You can independently take a problem from vague business need → production-ready model
• You proactively communicate insights and trade-offs to stakeholders
• Your models are reliable, well-documented, and scalable.

Please share your profile with hr@hish.ca