
Head of Data Science
2 days ago
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 creates to build something awesome
Your day-to-day work and responsibilities include…
- Develop and execute a long-term data science strategy aligned with the company's overall business goals.
- Lead the development and deployment of sophisticated AI/ML models, creating new products and value for our customers and new revenue for Supermetrics.
- Foster strong partnerships with other departments, such as engineering, product, infrastructure, to ensure seamless integration of solutions.
- Stay up-to-date with the latest advancements in AI, machine learning, and deep learning techniques and champion learning activities within the company across all departments.
- 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 as well as GTM teams.
- Collaborate with engineering and infrastructure teams to build platforms and pipelines that support advanced analytics and AI/ML.
- Build partnerships with staff, senior leadership, external service providers, vendors, and our customers; making Data Science a business enabler.
- Be able to communicate status of strategic projects to: Board, Executive Team, and company on appropriate schedule.
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.
- In partnership with the Product Development leadership team, establish group/departmental goals; determine the resource needs to meet these goals; and assess performance.
- Act as a mentor and coach for your team, supporting them in setting and achieving their own goals while fostering a safe, collaborative environment of learning and growth based on continuous feedback.
This position is for you if you have…
- MSc or PhD in STEM/AI related subject from a top tier university.
- Experience bringing new data driven products to market within a SaaS application that solve real customer problems and deliver clear, measurable value for customers, and revenue for the business. This should span the full lifecycle, from ideation to release and subsequent iterations.
- 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 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, and a bonus if you have experience in MarTech.
- Excellent leadership skills, business acumen, and ability to effectively manage, lead and supervise a data science team.
- Experience in Agile development methodologies and how to embed Data Science into the delivery process.
- Demonstrated experience in decision-making that has an organization-wide impact.
- Strong leadership, mentoring, strategic planning, change management, collaboration, and negotiation skills.
- Experience working, building and enabling distributed/remote teams.
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.
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 is a frontrunner in data integration technology, with 15% of global advertising spend reported through our products.
Our technology streamlines marketing data for over 200,000 businesses through a network of agencies and customers like Shopify, HubSpot, and Nestlé. We help marketers master their data and turn it into insights that improve business results and predict the best next step. Since our founding in 2013, we've grown profitably to reach 750K+ users and over 50M€ in annual recurring revenue.
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 be the leader in our industry. As team players, we help each other and win together.
We're hiring for a diverse, competent, 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.
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