Senior Consultant, Data Science – AI

🕒 September 21

🇨🇦 Canada – Remote

💵 $130k - $160k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.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 and custom LLM applications. • 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 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 client workshops to identify business objectives, map data landscapes, and structure 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. • Assist pre-sales activities by scoping opportunities and estimating work and effort. • Collaborate directly with external clients, Data Engineers, Project Leads, and Managers on implementation, migration, and advanced analytics deployment projects.

🎯 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). • Python Stack: pandas, numpy, scikit-learn, XGBoost, PyTorch/TensorFlow, Transformers. • Generative & Agentic AI Frameworks: LangChain, LlamaIndex, AutoGen/CrewAI, Prompt Engineering, RAG architectures, Multi-Agent Orchestration, Function Calling & Tool Integration. • Vector Databases & Search: BigQuery Vector Search, Google Cloud Vector Search, Pinecone, Chroma, or FAISS. • Advanced SQL query optimization for large-scale data warehouses. • Google Cloud Platform, including Gemini Enterprise, Vertex AI Agent Builder, BigQuery ML, and Model Garden. • Data engineering and orchestration with BigQuery, Dataflow, and Cloud Storage. • BI and data visualization tools: Looker / Looker Studio, Tableau, or Power BI. • MarTech/AdTech ecosystems. • Agile/Scrum methodologies. • CI/CD and MLOps/LLMOps. • Strong interpersonal skills, high energy and enthusiasm, integrity, and honesty. • Flexible, results-oriented, resourceful, structured problem-solving ability, and ability to prioritize. • Ability to gain credibility, motivate, provide leadership, and support junior team members. • Commercial acumen and ability to manage multiple projects simultaneously. • Ability to communicate complex technical and mathematical concepts to non-technical business stakeholders.

🏖️ Benefits

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

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