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About the Role

The Senior Consultant - Data Science & AI is part of the TTEC Digital Analytics team, responsible for Data Science, Advanced Analytics, Generative AI, and Engineering projects. This role involves designing predictive models, building machine learning pipelines, engineering autonomous agentic workflows, and leveraging enterprise Gen AI to derive actionable insights from client data for strategic decision-making.

Responsibilities

Develop Machine Learning Models: End-to-end development, training, and deployment of production-grade predictive and prescriptive models.
Design & Deploy Generative AI Solutions: Architect, fine-tune, and evaluate enterprise Gen AI systems, including RAG pipelines, custom LLM applications, and prompt engineering frameworks.
Architect Agentic AI Systems: Design and deploy autonomous AI agents and multi-agent workflows for complex client business challenges.
Deliver Advanced Analytics: Build advanced analytics models to measure campaign performance, predict customer behavior, and maximize ROI.
Data Storytelling & Visualization: Synthesize complex outcomes into executive-ready presentations and dashboards.
Develop and Maintain Analytics Workflows: Analyze client data and build optimized analytics datasets within cloud environments.
Lead workshops with external clients to uncover business objectives and translate business problems into data science methodologies.
Create solutions and design documentation for client data science architectures and ML pipelines.
Work on projects independently and as part of a large team across multiple client engagements.
Crosstrain Junior Data Scientists/Analysts or other team members, providing technical leadership and code reviews.
Further develop skills on the job and through formal learning channels to stay ahead of AI/ML trends.
Assist in pre-sales activities by scoping new client opportunities and providing accurate work/effort estimates.

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).
Advanced query optimization for large-scale data warehouses.
Experience with MarTech/AdTech Ecosystems.
Experience with Agile/Scrum Methodologies.
Experience with CI/CD & MLOps/LLMOps: Version control, automated deployment pipelines, LLM evaluation, and model monitoring tools.
Strong interpersonal skills, high energy and enthusiasm, integrity, and honesty; flexible, results-oriented, resourceful, structured problem-solving ability, deal effectively with difficult client situations, ability to prioritize.
Ability to gain credibility, motivate, and provide leadership; work with a diverse external customer base; maintain a positive attitude.
Provide technical support and guidance to more junior team members, particularly for challenging modeling or analytical assignments.
Commercial acumen and ability to manage multiple projects simultaneously.
Perform tasks in a client-friendly manner while utilizing time and resources efficiently, proactively managing project scope.
Ability to understand, translate, and communicate highly complex technical and mathematical concepts to non-technical business stakeholders.

Skills

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
SQL
Google Cloud Platform (Core focus): Gemini Enterprise, Vertex AI Agent Builder, BigQuery ML, Model Garden (Model development, fine-tuning, and deployment)
Data Engineering & Orchestration: BigQuery, Dataflow, and Cloud Storage for data extraction, pipeline management, and indexing
BI & Data Visualization Tools: Looker / Looker Studio, Tableau, or Power BI

Location

Remote

Work Type

Full-time

Experience Level

Senior

Education Level

Post-Secondary Degree or Diploma

Salary/Compensations

$150,000 - $180,000

About the Company

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.
TTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage.
We are also delighted to share that TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries.

Equal Opportunity

TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.