We're looking for a Head of Data Science 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 seasoned Data Science leader to help our customers harness this data to drive transformational business growth.
In this role, you will… This role offers both strategic and operational focus and requires a product and customer-first mindset to deliver differentiating AI/ML products to our customers.
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—as we all know, data is the fuel for AI.
We have the fuel, and think of the opportunities that create to build something awesome
Your day-to-day work and responsibilities include… Strategy & Execution Create and implement a data science strategy aligned with business goals.
Develop and deploy advanced AI/ML models, creating new products and value for our customers and new revenue for Supermetrics.
Partner with other departments (engineering, product, infrastructure) for seamless integration.
Stay current with AI/ML/DL advancements and promote company-wide learning.
In partnership with our infrastructure team, oversee the design, implementation, and maintenance of robust data pipelines and ML infrastructure.
Identify opportunities to leverage AI/ML to create innovative products and services, working closely with product management and GTM teams.
Collaborate with engineering and infrastructure teams to build platforms and pipelines that support advanced analytics and AI/ML.
Build partnerships with stakeholders to position data science as a business enabler.
Communicate the status of strategic projects to leadership and the company.
Team Development Recruit, hire, and develop a high-performing team of Data Scientists and Machine Learning Engineers.
Foster a security-first culture of innovation, transparency, and accountability.
Establish group/departmental goals, determine the resource needs to meet these goals and assess performance in partnership with the product development leadership team.
Act as a mentor and coach for your team, supporting them in setting and achieving their goals while fostering a safe, collaborative environment of learning and growth based on continuous feedback.
This position is for you if you have… Experience launching data-driven SaaS products that solve customer problems and deliver measurable value and revenue, from ideation to iteration.
Hands-on experience with predictive modeling methods (e.g., logistic regression, multivariate linear regression, decision tree, cluster analysis).
Hands-on experience working with LLMs.
Hands-on experience and a solid understanding of machine learning and deep learning methods and toolkits.
Hands-on experience working with ML Ops teams.
Domain knowledge of large-scale, data-driven SaaS applications.
Agile development experience, including embedding data science in the process.
Leadership experience in managing data science teams, with business acumen and strategic planning skills.
Proven ability to make organization-wide impact decisions.
Experience building and enabling distributed/remote teams.
We also appreciate... MSc or PhD in STEM/AI-related subject from a top-tier university.
Experience in MarTech.
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 benefits and leisure time insurance.
Learning budget allowance.
Sports and wellbeing allowance.
Benefits may vary depending on location.
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 All requests for accommodation will be kept confidential.
#J-18808-Ljbffr