Senior Consultant, Data Science & AI

Location: Remote; Toronto, Ontario

Company

hirify.global delivers analytics, data science, engineering, and enterprise AI solutions for external clients.

What you will do

• Develop, train, validate, and deploy production-grade predictive and prescriptive machine learning models, including propensity modeling, customer segmentation, and demand forecasting.
• Architect, fine-tune, evaluate, and deploy generative AI systems, including RAG pipelines, custom LLM applications, prompt engineering frameworks, and autonomous multi-agent workflows.
• Build advanced analytics models, optimized cloud-based datasets, analytics workflows, dashboards, and executive-ready presentations that communicate business value and ROI.
• Lead client workshops to define business objectives, map data landscapes, and translate complex business problems into structured data science methodologies.
• Create data science architecture and ML pipeline documentation, support implementation and migration projects, and assist with pre-sales scoping and effort estimates.
• Provide technical leadership through code reviews, guidance, and cross-training for junior data scientists, analysts, and other team members while managing multiple client engagements.

Requirements

• Post-secondary degree or diploma in Data Science, Statistics, Computer Science, Economics, Business Analytics, or an IT-related field.
• 5–8 years of total experience in Data Science, Advanced Analytics, or Management Consulting, including 3+ years in external client-facing consulting or professional services.
• 3+ years of application, model design, and deployment experience in a cloud environment; GCP is preferred.
• 1–2+ years of hands-on experience architecting and deploying Generative AI systems and Agentic AI workflows, including RAG pipelines, fine-tuned LLMs, autonomous agents, and tool-use integration.
• Experience delivering both traditional predictive models and modern AI solutions to enterprise stakeholders.
• Strong Python experience with pandas, numpy, scikit-learn, XGBoost, PyTorch or TensorFlow, and Transformers; advanced SQL query optimization for large-scale data warehouses.
• Experience with LangChain, LlamaIndex, AutoGen or CrewAI, prompt engineering, RAG architectures, multi-agent orchestration, function calling, and tool integration.
• Experience with vector search or databases such as BigQuery Vector Search, Google Cloud Vector Search, Pinecone, Chroma, or FAISS.
• Experience with Google Cloud services including Gemini Enterprise, Vertex AI Agent Builder, BigQuery ML, Model Garden, BigQuery, Dataflow, and Cloud Storage, plus BI tools such as Looker, Looker Studio, Tableau, or Power BI.
• Knowledge of MarTech or AdTech ecosystems, Agile/Scrum, CI/CD, MLOps/LLMOps, automated deployment, LLM evaluation, model monitoring, and version control.
• Strong interpersonal, leadership, communication, commercial, prioritization, structured problem-solving, and project-management abilities, including communicating complex technical and mathematical concepts to non-technical stakeholders and handling difficult client situations.

Nice to have

• Google Cloud Certified Professional Data Engineer, Professional Machine Learning Engineer, or an equivalent Generative AI or cloud certification.

Culture & Benefits

• Remote full-time work within the hirify.global Analytics team.
• Work independently and collaboratively across multiple client engagements with external customers, data engineers, project leads, and managers.
• Formal and on-the-job learning opportunities focused on evolving AI and machine learning practices.
• Emphasis on integrity, honesty, flexibility, resourcefulness, positive collaboration, and results-oriented delivery.