Posted on November 26, 2025 by Annex IT Solutions
Job Details
We are looking for a skilled Data Scientist with approximately 3 years of industry experience to join our analytics/AI team. The ideal candidate will have hands‑on experience working with data pipelines, building predictive models, and delivering actionable insights to support business decisions.
Key Responsibilities
- Collect, clean, and analyze large structured and unstructured datasets.
- Develop, train, and optimize machine learning models for classification, regression, forecasting, or clustering tasks.
- Build dashboards, reports, and visualizations to communicate insights to business stakeholders.
- Perform feature engineering, model validation, A/B testing, and monitor model performance.
- Work closely with data engineers, analysts, and product teams to define data needs and project requirements.
- Deploy ML models into production environments (e.g., using AWS/GCP/Azure, Docker, etc.).
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and opportunities.
- Document analytical processes, model decisions, and experiment outcomes.
- Stay updated with industry trends, new ML algorithms, and best practices.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related field.
- 3+ years of experience as a Data Scientist or Machine Learning Engineer.
- Strong proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn.
- Experience with SQL for data extraction and manipulation.
- Hands‑on experience building and evaluating ML models.
- Experience with data visualization tools: Power BI, Tableau, or Python (Matplotlib, Seaborn, Plotly).
- Understanding of statistical methods, hypothesis testing, and data modeling.
Pay and Benefits
Full‑time position. Salary: $79,000.00 – $119,000.00 per year.
- Casual dress
- On‑site parking
- Paid time off
- Location: Ottawa, ON
- Work location: On site
- Terms of employment: Full time
- Starts as soon as possible