Data Scientist

Data Scientist – Job Description (10+ Years Experience)

Job Title: Data Scientist

Experience Level: 10+ years of relevant experience in Data Science, Machine Learning, and Advanced Analytics

Location : Canada

Role Summary

We are seeking aData Scientist with strong experience inmachine learning, statistical modeling, data analysis, and cloud-based data solutions. The ideal candidate will work closely with cross‑functional stakeholders to design, develop, deploy, and optimize data‑driven solutions that drive business impact, improve user experience, and support informed decision‑making.

Key Responsibilities

• Design, develop, and deploymachine learning and predictive models to solve business problems such as personalization, forecasting, anomaly detection, and classification
• Performdata exploration, feature engineering, and statistical analysis on large and complex datasets
• Build and maintainend‑to‑end ML pipelines, including training, deployment, monitoring, and performance optimization
• Collaborate with product, engineering, marketing, and business stakeholders to translate requirements into data solutions
• ConductA/B testing and experimentation to evaluate model effectiveness and product features
• Developdashboards and reports to communicate insights, KPIs, and model outcomes to technical and non‑technical audiences
• Optimize data workflows usingSQL, ETL processes, and cloud services
• Contribute todata quality, governance, and best practices
• Mentor junior data scientists and contribute to technical knowledge sharing within the team

Required Technical Skills

Programming & Data

• Python (Pandas, NumPy, SciPy, Statsmodels)
• SQL
• R (working knowledge)
• Git / Version Control

Machine Learning & AI

• Supervised and unsupervised learning techniques
• Deep Learning frameworks (PyTorch, TensorFlow, Keras)
• Predictive modeling, classification, regression, time‑series analysis
• Feature engineering and model evaluation
• Computer Vision and NLP exposure (including LLM‑based prototypes)

Data Visualization & BI

• Power BI
• Tableau
• Data visualization libraries (Matplotlib, Seaborn, Plotly)

Cloud & Big Data

• AWS (SageMaker, S3, Lambda, Glue, IAM)
• Spark / Databricks
• MLOps tools (MLflow, CI/CD pipelines for ML)

Tools & Platforms

• Databricks
• Streamlit
• Jira
• Excel / PowerPoint / SharePoint

Required Qualifications

• Bachelor’s degree inComputer Engineering, Electrical Engineering, Data Science, or related field
• Master’s degree inData Science, Analytics, or a related discipline is preferred
• 5+ years of hands‑on experience indata science, machine learning, or advanced analytics roles
• Strong communication skills with the ability to present insights to senior stakeholders

Nice to Have

• Experience withpersonalization and recommendation systems
• Experience inrevenue, marketing, or user‑behavior analytics
• Exposure toreal‑time or streaming data solutions
• Experience mentoring or leading junior team members