Senior Data Scientist / AI

Are you an experienced, curious Data Scientist, motivated by the idea of finding new and better ways to generate insights from data and looking to be part of transformative technical initiatives that will shape the future of data at a fast-growing SaaS company?

We're looking for a Senior Data Scientist to join our Product Engineering team in our HQ in Helsinki, Finland, Dublin, Ireland, or the UK.

Supermetrics is the world’s leading Marketing Intelligence Platform, serving over 15,000 marketers globally. We process more than 15% of the world's performance marketing data, and we are looking for a senior data scientist to help our customers utilize this data for transformational business growth.

In this role, you will…

As a Senior Data Scientist at Supermetrics, your role will involve diving into our data to solve crucial business problems for our customers. The focus of this role is the development and implementation of robust and insightful data-driven solutions to be embedded within our current product.

You need to be someone who thrives in evolving environments, has a keen interest in innovation and is prepared to pioneer new solutions and be creative while maintaining a product-first mindset.

This is a unique opportunity to build innovative products and solutions for our customers that are differentiated in the market due to our unique data set and as we all know, data is the fuel for AI.

Your day-to-day work and responsibilities include…

• 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 models, 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.
• Participate in the design and development of agentic workflows that utilise advanced analytics techniques and domain knowledge to produce personalised insights 
• Embed AI-powered features and automation tools in data science applications to improve velocity, product quality and customer experience as needed.
• Stay current with AI/ML advancements and continually seek for new ideas or paradigms that will add value to our customers.
• Communicate the impact and outcomes of data science initiatives to stakeholders across the organization.

This position is for you if you have…

• 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 an industry or research setting.
• Skilled in statistical analysis, ML modeling, experimentation, and optimization.
• Practical experience working with LLMs, 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 address 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.
• Advanced experience building and deploying data science products using cloud platforms (e.g., AWS, GCP) and MLOps tools.
• Extensive experience in project management and collaborating with a varied, remote group of colleagues.
• Proficient written and verbal communication skills to explain technical concepts to non-technical stakeholders.
• Domain knowledge of large-scale, data-driven SaaS applications.

We Also Appreciate…

• 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.

Benefits We Offer…

• Competitive compensation package, including equity 
• Great work equipment and home office allowance for those working in our fully remote locations
• Health care benefit and leisure time insurance
• Sports and wellbeing allowance

Benefits may vary depending on location. 

Hear why our team likes it here at supermetrics.com/careers/life-at-supermetrics.

Get to know our Engineering team at supermetrics.com/careers/engineering.

#Li-Hybrid #Li-Fulltime #Li-Middletoseniorlevel

Supermetrics is committed to providing a welcoming and inclusive workplace for all. We believe that a diverse workforce is a strong workforce and we are dedicated to creating an environment where everyone feels valued and respected.

If you require any reasonable accommodations during the application or interview process, please do not hesitate to let us know. You can reach us at talentacquisition@supermetrics.com All requests for accommodation will be kept confidential.

Join us on our mission to make data a marketing superpower

Supermetrics builds an end-to-end marketing intelligence platform, with 15% of global advertising spend reported through our products. 

We help marketers turn their data into insights that improve business results and predict the best next step. Our technology streamlines marketing data for over 200,000 businesses through a network of agencies and customers like Shopify, HubSpot, and Nestlé. Since our founding in 2013, we’ve grown from a one-person shop to a key player in the industry—and we’re just getting started!

We're a team of 360+ growth-minded people from diverse backgrounds. Together, we make a multicultural, resourceful, and collaborative team.

Supermetrics operates on trust, transparency, and a keen customer focus. Forward-looking and action-oriented, we work hard to raise the bar in our industry. As team players, we help each other and win together.

We're hiring for a diverse, skilled, and collaborative team and building an inclusive workplace where everyone is treated fairly and respectfully.

It all started with a Google t-shirt... Read the rest of our growth story at supermetrics.com/about.