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Senior AI Data Scientist
Valtech
Montreal, CAN
Full Time
Senior
1 weeks ago
PythonMachine LearningStatisticsDatabricksSQLscikit learn
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About the Role
Valtech is seeking a Senior AI Data Scientist to lead complex analytical, predictive, and applied AI workstreams. You will translate ambiguous business needs into structured modeling approaches, design experiments, and deliver actionable insights.
Key Skills for This Role
PythonMachine LearningStatisticsDatabricksSQLscikit learn
Responsibilities
- Lead complex analytical, statistical, machine learning, and applied AI workstreams across multiple business areas
- Define data science approaches that align business questions, modeling opportunities, evaluation methods, and measurable outcomes
- Translate ambiguous business and stakeholder needs into structured analytical strategies, model designs, and validation plans
- Lead design and execution of models for segmentation, forecasting, propensity modeling, anomaly detection, experimentation, and recommendation
- Guide use of structured, semi structured, and unstructured datasets to derive insights
- Own and improve notebook based development and reproducible workflows in Databricks
- Apply machine learning and AI methods for classification, scoring, summarization, pattern detection, and feature generation
- Evaluate and apply LLM enabled or AI assisted workflows while preserving statistical rigor
- Establish best practices for methodology selection, model evaluation, experimentation design, and reproducibility
- Synthesize modeling outputs and analytical findings into clear business implications and recommendations
- Serve as senior partner to client and internal stakeholders, advising on analytical tradeoffs
- Review major analytical deliverables for clarity, rigor, quality, and business usefulness
Requirements
- Deep working knowledge of statistics, probability, machine learning, experimentation, and analytical problem solving
- Strong ability to define data science approaches and modeling strategies in complex business environments
- Strong people leadership skills including coaching, feedback, and prioritization
- Strong understanding of supervised and unsupervised learning, feature engineering, model evaluation, experimentation design, and error analysis
- Strong ability to work with structured, semi structured, and selected unstructured datasets
- Strong familiarity with applied AI methods including LLM enabled workflows
- Strong familiarity with notebook based development and collaborative data science workflows (Databricks, MLflow)
- Ability to evaluate where applied AI strengthens a use case vs classical methods
- Strong stakeholder management skills and ability to communicate clearly with technical and non technical audiences
- Strong written and verbal communication skills in English
- Ability to collaborate effectively across distributed teams in the Americas
Full Job Posting
Role Overview
- Valtech is the experience innovation company, a trusted partner to the world’s most recognized brands.
- The Senior AI Data Scientist is a senior individual contributor role within Data Science, AI, & Agentic, responsible for leading complex analytical and applied AI workstreams.
Role Responsibilities
- Lead complex analytical, statistical, machine learning, and applied AI workstreams across multiple business areas.
- Define data science approaches that align business questions, modeling opportunities, evaluation methods, and measurable outcomes.
- Translate ambiguous business and stakeholder needs into structured analytical strategies, model designs, hypotheses, feature approaches, validation plans, and actionable recommendations.
- Lead design and execution of models for segmentation, forecasting, propensity modeling, anomaly detection, experimentation analysis, recommendation, and business decision support.
- Guide use of structured, semi structured, and selected unstructured datasets to derive insights.
- Own and improve notebook based development, reproducible workflows, and analytical assets in Databricks.
- Apply machine learning and AI methods for classification, scoring, summarization, pattern detection, feature generation, and business process improvement.
- Evaluate and apply LLM enabled or AI assisted workflows while preserving statistical rigor and reproducibility.
- Establish best practices for methodology selection, model evaluation, experimentation design, documentation, and reproducibility.
- Synthesize modeling outputs and analytical findings into clear business implications and recommended next steps.
- Serve as senior partner to client and internal stakeholders by advising on analytical tradeoffs and solution direction.
- Review major analytical and modeling deliverables for clarity, rigor, quality, and business usefulness.
Core Skills/Competencies
- Deep working knowledge of statistics, probability, machine learning, experimentation, and analytical problem solving.
- Strong ability to define data science approaches and modeling strategies in complex business environments.
- Strong people leadership skills including coaching, feedback, prioritization, and support for team development.
- Strong understanding of supervised and unsupervised learning, feature engineering, model evaluation, experimentation design, and error analysis.
- Strong ability to work with structured, semi structured, and selected unstructured datasets.
- Strong familiarity with applied AI methods including LLM enabled workflows, text oriented analysis, AI assisted feature extraction, summarization, and classification.
- Strong familiarity with notebook based development and collaborative data science workflows (Databricks, MLflow).
- Ability to evaluate where applied AI strengthens a use case and where classical methods are more appropriate.
- Strong stakeholder management skills and ability to communicate clearly with technical and non technical audiences.
- Ability to balance delivery quality, team workload, business urgency, and stakeholder expectations.
- Strong written and verbal communication skills in English.
- Ability to collaborate effectively across distributed teams in the Americas.
Tools / Platforms
- Programming: Python, Jupyter Notebooks, Pandas, NumPy, scikit learn, SciPy, Statsmodels, XGBoost, LightGBM.
- Data Science Workbench: Databricks, Databricks notebooks, Databricks Machine Learning, Apache Spark, PySpark, MLflow.
- Data & Querying: SQL, BigQuery, Snowflake.
- Cloud & AI: GCP, Vertex AI, Microsoft Azure, Azure AI services, Azure Machine Learning.
- Applied AI: OpenAI compatible APIs, prompt evaluation, embedding, text analysis.
- Visualization: Matplotlib, Seaborn, Plotly, Looker, Power BI, Tableau.
- Workflow: Git, GitHub, Azure DevOps.
Certifications Preferred
- Databricks associate or professional level training or certification.
- Google Cloud data, ML, or AI training.
- Microsoft Azure data, ML, or AI training.
- Python, machine learning, experimentation, or applied AI coursework.
- Statistics, forecasting, or analytical modeling training.
- Leadership, coaching, or people management training is a plus.
Benefits
- Comprehensive insurance plan (Gold, Silver, or Bronze) with employer contribution up to 80%.
- Virtual healthcare services via Dialogue/Sun Life, Employee and Family Assistance Program, mental health support.
- CAD 500 Personal Spending Account for healthcare, gym, transit, office supplies, or RRSP.
- Retirement plan: 100% match on RRSP contributions via DPSP up to 4%.
- Flexible vacation policy.
- Personal Technology Reimbursement – CAD 30/month.
- Winter holiday closure and flexible scheduling.
About Valtech
- Valtech is the experience innovation company, blending data, AI, creativity, and technology.
- Clients include L'Oréal, Mars, Audi, P&G, Volkswagen, Dolby, and more.
- Committed to inclusion and accessibility.
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