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We are looking for a Senior Data Scientist to join our Product Engineering team in Helsinki, Dublin, or the UK. 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
Job Responsibility:
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
Requirements:
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
Nice to have:
Experience with MarTech advanced analytics techniques and use cases (i.e. propensity modelling, Media Mix Modelling, personalisation/customer segmentation)
Experience in the end-to-end development of AI products
What we offer:
Competitive compensation package, including equity
Great work equipment, and home office allowance for those working in our fully remote locations