Senior Consultant, Data Science – AI

🔥 8 minutes ago

🇨🇦 Canada – Remote

💵 $150k - $180k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TTEC Digital

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

TTEC Digital is a leader in customer experience transformation, combining technology and human empathy to enhance customer interactions. With a focus on artificial intelligence, contact center technology, and customer relationship management, TTEC Digital delivers tailored solutions for mid-market digital transformation. Their comprehensive offerings include data analytics, CX strategy and design, and managed services that optimize customer engagements across various industries.

📋 Description

• Develop, train, and deploy production-grade predictive and prescriptive machine learning models. • Architect, fine-tune, and evaluate enterprise Generative AI systems, including RAG pipelines, custom LLM applications, and prompt engineering frameworks. • Design and deploy autonomous AI agents and multi-agent workflows for complex client business challenges. • Build advanced analytics models to measure campaign performance, predict customer behavior, and maximize long-term ROI. • Translate machine learning metrics and algorithmic outcomes into executive-ready presentations and dashboards. • Analyze raw client data and build optimized analytics datasets within cloud environments. • Lead external-client workshops to identify objectives, map data landscapes, and translate business problems into data science methodologies. • Create solution and design documentation for client data science architectures and ML pipelines. • Work independently and as part of large teams across multiple client engagements. • Cross-train junior Data Scientists/Analysts and provide technical leadership and code reviews. • Continue developing AI/ML skills through on-the-job and formal learning. • Support pre-sales by scoping client opportunities and estimating work and effort.

🎯 Requirements

• Post-Secondary Degree (or Diploma) related to 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. • 3+ years of experience in an external client-facing consulting or professional services capacity. • 3+ years of application, model design, and deployment experience natively within a cloud environment; GCP preferred. • 1–2+ years of hands-on experience architecting and deploying Generative AI systems and Agentic AI workflows. • Demonstrated experience delivering both traditional predictive models and modern AI solutions to enterprise stakeholders. • Google Cloud Certified Professional Data Engineer, Professional Machine Learning Engineer, or equivalent Generative AI/Cloud Certifications highly preferred. • Experience with Python stack: pandas, numpy, scikit-learn, XGBoost, PyTorch/TensorFlow, Transformers. • Experience with Generative and Agentic AI frameworks, including LangChain, LlamaIndex, AutoGen/CrewAI, prompt engineering, RAG architectures, multi-agent orchestration, function calling, and tool integration. • Experience with vector databases and search technologies, including BigQuery Vector Search, Google Cloud Vector Search, Pinecone, Chroma, or FAISS. • Advanced SQL query optimization for large-scale data warehouses. • Experience with Google Cloud Platform, including Gemini Enterprise, Vertex AI Agent Builder, BigQuery ML, and Model Garden. • Experience with BigQuery, Dataflow, and Cloud Storage for data extraction, pipeline management, and indexing. • Experience with Looker/Looker Studio, Tableau, or Power BI. • Knowledge of MarTech/AdTech ecosystems, Agile/Scrum methodologies, and CI/CD & MLOps/LLMOps. • Strong interpersonal skills, integrity, flexibility, results orientation, resourcefulness, structured problem-solving, prioritization, and ability to handle difficult client situations. • Ability to provide technical leadership, mentor junior team members, manage multiple projects, and communicate complex technical and mathematical concepts to non-technical stakeholders.

🏖️ Benefits

• Equal opportunity employer • Diverse and inclusive workforce • Great Place To Work 2024-2025 certified employer • Formal learning channels and on-the-job skill development