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.
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.
58 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).
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
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.Position PurposeThe position of Senior Consultant - Data Science & Analy...
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.
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.
58 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).
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
We believe that humanity and technology should âco-exist, and that at the nexus of the âmost powerful experiences, humanity and technology collide. At TTEC Digital, we combine the expertise, innovation, partnerships, and passion of three industry-leading customer experience com
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