Senior Data Scientist, Supermetrics

• If you are a naturally curious problem-solver who thrives on discovering innovative ways to extract value from data, this is your chance to lead high-impact initiatives for a fast-growing SaaS powerhouse
• An advanced degree in a STEM-related field such as Mathematics, Statistics, Computer Science, Engineering, or a related field, or equivalent work experience
• 5+ years of experience in Data Science or ML and AI with real-world data within a product development and/or research setting
• Expertise in statistical analysis, ML modeling, experimentation, and optimization
• Hands-on experience working with LLMs and AI agents, including fine-tuning, retrieval-augmented generation (RAG), and deploying models to enhance product features
• A proactive mindset, a continual pursuit of new ideas and data sources, and the ability to systematically tackle ambiguous problems with a data-driven, hypothesis-based approach
• Proficiency in Python and SQL, with experience using libraries such as Pandas, NumPy, Scikit-learn, and deep learning frameworks like TensorFlow or PyTorch
• Experience working with Agent frameworks (e.g. google adk, LangChain) and AI agent evaluation
• Expert-level experience building and deploying data science products using cloud platforms (e.g., AWS, GCP) and MLOps tools
• Strong project management experience and ability to work with a diverse, distributed, and talented group of people
• Excellent written and verbal communication skills to explain technical concepts to non-technical stakeholders
• Domain knowledge of large-scale, data-driven SaaS applications

Desirable

• We are looking for a Senior Data Scientist to join our Product Engineering team in Helsinki, Dublin, or the UK
• Solving the "Unsolvable": Dive into massive datasets to architect and implement robust, data-driven solutions that solve high-stakes business problems for our customers
• Product-Embedded Innovation: Focus on building and embedding insights directly into the Supermetrics product suite, moving beyond theory into live, functional features
• The Scale-Up Mindset: Thrive in a high-velocity environment where you are expected to pioneer new solutions, remain creative, and lead with a relentless "product-first" focus
• Fueling the AI Engine: Leverage Supermetrics’ one-of-a-kind dataset to build market-differentiated products. If data is the fuel for AI, you’ll be sitting on one of the best "refineries" in the industry
• High-Leverage Impact: Utilize our unique data access to create solutions that simply can’t be built anywhere else, giving you the platform to make a massive, visible impact on the industry
• Identify opportunities to use advanced data science techniques leveraging a wide variety of MarTech data to solve problems and provide new insights to our customers
• Develop and deploy AI/ML solutions, creating new products and value for our customers
• Transform data science prototypes into scalable, production-ready, data-driven products in partnership with our infrastructure/engineering teams
• Embed AI-powered features and automation tools in data science applications to improve velocity, product quality and customer experience as needed
• Communicate the impact and outcomes of data science initiatives to stakeholders across the organization
• Stay current with AI/ML advancements and continually seek for new ideas or paradigms that will add value to our customers