Position Purpose

The position of Senior Consultant - Data Science & Analytics is within the TTEC Digital Analytics and Insights Experience (AIX) team. The AIX group is responsible for Data Science, Advanced Analytics, and Engineering projects that include the design and validation of predictive models, building scalable machine learning pipelines, and converting raw client data into actionable insights to drive strategic business decision-making.

Our Data Science & Analytics Consultants work directly with external clients, Data Engineers, Project Leads, and Managers on implementation, migration, and advanced analytics deployment projects.

Key Responsibilities

• Develop Machine Learning Models: End-to-end development, training, and deployment of production-grade predictive and prescriptive models (e.g., propensity modeling, customer segmentation, demand forecasting).
• Deliver Advanced Analytics: Help clients maximize the efficiency of their strategic initiatives by building advanced analytics models that measure campaign performance, predict customer behavior, and maximize long-term ROI.
• Data Storytelling & Visualization: Synthesize complex algorithmic outcomes and machine learning metrics into compelling, executive-ready presentations and dashboards that clearly articulate business value and ROI.
• Develop and Maintain Analytics Workflows: Analyze raw client data and build optimized analytics datasets within cloud environments to support modeling and reporting.
• Lead workshops with external clients to uncover business objectives, map out data landscapes, and translate vague business problems into structured data science methodologies.
• Create solutions and design documentation for client data science architectures and ML pipelines.
• Work on projects independently as well as being part of a large team across multiple client engagements.
• Crosstrain Junior Data Scientists/Analysts or other team members with your area of expertise, providing technical leadership and code reviews.
• Further develop skills both 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.

Competencies

• Personal: 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.
• Leadership: 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.
• Operations: 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.
• Technical: Ability to understand, translate, and communicate highly complex technical and mathematical concepts to non-technical business stakeholders.

Technical Skills

• Python (pandas, numpy, scikit-learn, XGBoost)
• SQL (Advanced query optimization for large-scale data warehouses)
• Google Cloud Platform (Core focus)
• Gemini Enterprise Agent Platform (formerly Vertex AI) & BigQuery ML (Model development and deployment)
• BigQuery, Dataflow, and Cloud Storage (Data extraction and pipeline orchestration)
• BI & Data Visualization Tools (Looker / Looker Studio, Tableau, or Power BI)
• MarTech/AdTech Ecosystems
• Agile/Scrum methodologies
• CI/CD tools (For version control and model deployment pipelines)

Education, Experience and Certification

• 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).
• Demonstrated experience specifically delivering advanced predictive models and advanced analytics solutions.
• Google Cloud Certified Professional Data Engineer or Google Cloud Certified Professional Machine Learning Engineer (Highly Preferred).

Organizational Description

At TTEC Digital everything we do, every day, helps our clients fuel exceptional experiences for their customers. Together, we help our clients develop strategic customer experience design, integrate powerful data, and orchestrate industry-leading technology.

We embrace the unique, positive, and healthy cultures that our different teams bring, and our leadership prioritizes the promise of work/life balance, continuous education, and high-performance incentives. We have been and will remain a remote first employer, giving you the flexibility to take your career wherever life goes.