Data Scientist

Cpl; Dublin; Remote; EUR 92,000 - 111,000; Full time

Job summary

CPL is seeking a Senior Data Scientist to join our Go-to-Market Data Intelligence team. You will apply ML, statistics, and practical AI techniques to solve business problems, build scalable data products, and partner with cross-functional stakeholders across the customer lifecycle.

You will design models, define success metrics, and work across complex datasets to deliver impactful insights. Strong technical judgment, communication, and the ability to navigate ambiguity are essential.

Qualifications

• 5+ years of experience in data science, statistics, or a related field.
• Strong Python and SQL skills with experience in large-scale data warehouses.
• Experience leading end-to-end development of ML models or analytics solutions in a business setting.
• Excellent communication to explain technical concepts to various audiences.

Responsibilities

• Design, develop, validate, and improve data science models and products; translate business challenges into data-driven solutions.
• Define value metrics, evaluation approaches, and validation criteria for models and products.
• Use SQL to transform data and build scalable datasets for modeling and analysis.
• Collaborate with ML engineering to deploy ML and AI products; work with product owners on data product ideas.

Skills

Advanced Python

SQL proficiency

Data modeling

Communication

Education

Graduate degree in data science or related field

Tools

dbt

Job description

Position Overview

A Senior Data Scientist is required to join the Data Science & Analytics team within our Go-to-Market Data Intelligence organization. This team develops data products, predictive models, machine learning products, and applied AI solutions that help better understand customers and improve go-to-market decisions across the customer lifecycle.

Senior Data Scientist

Day Rate Contract - €500- 600 per day

Remote within Ireland

Position Overview

A Senior Data Scientist is required to join the Data Science & Analytics team within our Go-to-Market Data Intelligence organization. This team develops data products, predictive models, machine learning products, and applied AI solutions that help better understand customers and improve go-to-market decisions across the customer lifecycle.

In this role, you will apply machine learning, statistical methods, and practical AI techniques to complex business problems with meaningful impact. You will work across complex, real-world datasets, develop and improve models, and partner with cross-functional stakeholders to turn data into scalable products and business insights. This role is well suited for a strong individual contributor who brings deep technical judgment, thrives in ambiguity, and can guide high-impact work across multiple efforts.

Responsibilities

• Design, develop, validate, and improve data science models and products. Participate in stakeholder planning sessions to gather context on ambiguous business challenges, and recommend data science modeling approaches that can drive business impact
• Define customer and business value metrics, evaluation approaches, and validation criteria for models and products, including in situations with imperfect or incomplete data
• Use SQL to transform complex data and build scalable datasets for modeling and analysis
• Work with the machine learning engineering team to develop, validate, and deploy machine learning and AI products
• Collaborate with product owners and other stakeholders to shape new data product ideas or enhancements
• Develop technical design and architecture documentation for data science and AI products
• Help drive technical direction, working alongside engineering and product owners to navigate tradeoffs and execution decisions
• Manage priorities across multiple projects, including helping shape tradeoffs and cross-functional team priorities
• Become an expert in the organisations data - recommend approaches to make reusable features and data products that can be leveraged to ensure data science products are built on trusted, stable and scalable foundations.
• Communicate analyses, model performance, methodology, and recommendations clearly to technical and non-technical audiences

Minimum Qualifications

• 5+ years of experience and a graduate degree in data science, computer science, statistics, or a related quantitative field
• Advanced Python and SQL skills, including experience working with large-scale data warehouses
• Experience leading end-to-end development of machine learning models, data science products, or advanced analytical solutions in a business environment
• Strong communication skills and the ability to explain technical concepts, decisions, and tradeoffs to different audiences

Preferred Qualifications

• Experience with dbt
• Familiarity with go-to-market data such as Salesforce, financial metrics, or product usage and engagement data
• Experience using AI productivity and coding tools

The Ideal Candidate

• Can tell compelling stories with data and connect analysis to what is happening in the business
• Is a strong communicator who can adapt to technical and non-technical audiences
• Is flexible and works effectively with their manager, product owners, and stakeholders to prioritize across multiple projects
• Has strong attention to detail and cares deeply about data quality
• Proactively engages stakeholders to better understand business needs
• Enjoys collaborating with team members to drive impact
• Is comfortable working through ambiguity and bringing structure to open-ended problems
• Can define what success looks like, even when data, requirements, or conditions are imperfect

For more info please call Michael on 01-6146058 or e: [e-mail]