data scientist

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

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