Team Lead Data Science (Marketing)
Cyprus / Barcelona / Kazakhstan / Montengro / Paphos / Portugal / Serbia / Spain / Uzbekistan / Warsaw / Yerevan
Data Science & Machine Learning /
Full Time /
Remote
About Finom
Finom is a European tech startup headquartered in Amsterdam—and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
Over the past two years, our team has fuelled exponential growth, securing $50 million in investments and propelling us into hyper-growth mode. We’re on track to become a unicorn start-up by 2025, backed by global funds like General Catalyst (known for supporting Airbnb, HubSpot, KAYAK, and Stripe). Finom has expanded its reach across 10+ EU countries, with a strong presence in key markets like Germany and France.
At Finom, we’re not just redefining the entrepreneurial experience—we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
We are seeking a Lead Data Scientist with a strong background in marketing analytics and machine learning. The primary responsibility of this role is to increase the number of customers acquired with a targeted payback period through optimising marketing channels. You will develop and implement an analytical framework that enables our marketing team to maximise the efficiency of various channels, assess marketing attribution, and conduct advanced A/B testing. This role will be pivotal in shaping the strategies to achieve our customer acquisition goals.
The position is open at the company hubs: Cyprus, Spain, and Poland.
Cyprus: Relocation package is provided.
Spain: we are only able to hire candidates who possess a DNI (for Spanish nationals) or an NIE (for foreign nationals). Relocation support is not provided.
Poland: employment will be under 'Umowa o Pracę' (UoP). Relocation support is not provided.
What You Will Be Doing
- Leading efforts to optimize customer acquisition across marketing channels, ensuring efficiency and targeted payback periods are met.
- Analyzing marketing channels to identify growth potential and providing strategic recommendations for improvement.
- Translating analytical insights into actionable strategies and collaborating with marketing, sales, and product teams for execution.
- Developing and maintaining frameworks to calculate Customer Acquisition Cost (CAC), payback periods, and marketing attribution, adapting these frameworks to business needs.
- Managing a comprehensive marketing database, ensuring data integrity and accessibility for ongoing optimization.
- Overseeing the design and execution of A/B tests to evaluate marketing campaigns and refining strategies based on data-driven insights.
- Driving the use of advanced analytics and machine learning models, including customer segmentation and predictive modeling, to enhance marketing effectiveness.
- Leading and mentoring a team of data scientists and analysts, fostering a culture of learning and innovation.
- Collaborating with cross-functional teams in a flat organizational structure to align goals and drive cohesive growth strategies.
- Communicating data-driven insights and strategic recommendations to senior leadership in a clear and impactful manner.
Who You Are
- Bring 5+ years of experience in data science focused on marketing analytics and machine learning.
- Proficient in Python, R, SQL, with experience in Databricks and cloud-based platforms.
- Skilled in data visualization and conveying complex insights to various audiences.
- Have a Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field
- Exceptional analytical and problem-solving skills with a track record of driving growth.
- Excellent communicator and experienced in leading data science teams.
- Familiar with marketing channels and advanced techniques like customer lifetime value modeling (nice-to-have)
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us, working from our elegant offices in Paphos (Cyprus) and Amsterdam (the Netherlands), with upcoming hubs in Poland and Spain. Enjoy the flexibility of traveling and working in a remote/hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
