Job Description

At myPOS, we’re all about helping businesses grow and get paid. We make payments simple, smart, and accessible for everyone, but we’re more than just payment solutions - myPOS is a partner in growth. From free multicurrency accounts to powerful e-commerce tools, we’re here to support business owners of all sizes and everyone out there who dreams of starting their own business.

As we are expanding our team, we’re looking for a Lead Data Scientist to lead our small but growing Data Science team and help us make a real difference in the Fintech industry. Ready to join us and shape the future of payments? Let’s make it happen!

About the role:

myPOS is building a high-impact Data Science function to power the intelligence layer of one of Europe’s fastest-growing payment and commerce platforms.

As a Lead Data Scientist, you will set the standards for how we build, validate and ship models, and help the team partner effectively with business stakeholders from Customer Success, Onboarding, Product, Risk and Compliance teams.

You will take churn, customer lifecycle management, cross-sell / upsell, and customer behavior (for fraud detection and risk management) models into production and deliver measurable improvements for customers and the business.

In this role you are going to work with modern GCP tech stack including Data Lakehouse solution built with Python and BigQuery processes, MLOps pipelines utilizing Vertex ML (aka Gemini Enterprise Platform) services for exploration, training, serving and monitoring.

We also welcome senior data scientists who are ready to step into a lead role and take on people's management responsibilities.

What you’ll do:

Lead and develop the team

• Lead and line manage the data science team, setting priorities, supporting development, and managing performance, while remaining hands-on.
• Own technical quality across the team through code reviews, model reviews and design discussions; set standards for experimentation, validation, documentation and deployment
• Help team members work effectively with business teams: framing the right problem, scoping the solution and presenting results in a way that drives decisions.

Own the model portfolio

• Act as a trusted Data Science partner to senior stakeholders across the company, leading end-to-end delivery of models from initial discovery, feature engineering and model training to production, A/B testing where appropriate, and monitoring.
• Prioritize and deliver a focused portfolio of models, balancing business impact, feasibility, and ongoing maintenance.
• Communicate findings and recommendations clearly to both technical and non-technical audiences, including senior leadership
• Lead implementation of end-to-end ML pipelines and MLOps practices, from feature engineering through to training, evaluation, deployment and serving, in close partnership with the Data Engineering team.
• Establish monitoring standards for models in production: performance degradation, data drift and data quality, with clear ownership for iteration and response.
• Contribute to LLM-powered agentic workflows where they solve a clear business problem, drawing on specialist expertise as needed.

This role is perfect for you if you have:

• 6+ years of hands-on applied data science, machine learning or statistical modelling experience in a commercial setting, with a track record of models shipped, measured and delivering business impact in production
• Experience leading or mentoring data scientists, guiding their approach and reviewing models and code.
• Strong Python skills for applied data science and practical experience with common machine learning libraries (e.g. numpy, pandas, scikit-learn, XGBoost/LightGBM, etc.)
• Proven experience leading the development of production models for customer behavioral analysis, churn and retention prediction, propensity or uplift modelling, and/or risk and fraud detection
• Comfort working with large-scale structured and semi-structured data; proficient in SQL and cloud data warehouses. GCP and BigQuery are strongly preferred, but experience with similar technologies is welcome.
• Experience deploying and operating ML models in production, including model serving and monitoring, and working with Data Engineering to deliver reliable solutions. Familiarity with MLOps practices is valuable.
• Strong stakeholder management: able to influence senior stakeholders, turn ambiguous business needs into well-scoped data science problems, and distil statistical findings into actionable insights.

Nice to have:

• Experience in fintech, payments, banking or e-commerce
• Experience helping an early-stage Data Science function establish its practices and standards
• Familiarity with workflow orchestration (Airflow, Prefect, Dagster, KubeFlow)
• Experience working with LLMs, RAG pipelines, or tool-use agents and taking them to production

Why you should join myPOS:

• Vibrant international team operating in hi-tech environment
• Annual salary reviews, promotions and performance bonuses
• myPOS Academy for upskilling and training
• Unlimited access to courses on LinkedIn Learning
• Annual individual training and development budget
• Refer a friend bonus as we know that working with friends is fun
• Teambuilding, social activities and networks on a multi-national level

What we offer:

• Excellent compensation package
• 25 days annual paid leave (+1 day per year up to 30)
• Full “Luxury” package health insurance including dental care and optical glasses
• Meal vouchers of 102.26 EUR per month
• Fully covered Multisport card
• Fully covered public transport pass for Sofia
• Free coffee, snacks and drinks at the office

Who we are:

Since 2014 we’ve been all about making payments easier and more accessible for businesses of all shapes and sizes. Whether you’re at the counter, selling online, or on the move, we’ve got businesses covered with smart, accessible and affordable solutions that keep things easy.

Our mission? It’s simple. Help businesses get paid by taking advantage of modern tech and innovative ideas, so payment challenges are a thing of the past.

Pro tip:

Take it easy about meeting every requirement - this job description is just that, a job description! Even if you don’t tick every box, we want you to apply anyway! This is your chance to grow, learn, and build your career with us. We value potential over perfection, and we are all about mutual growth!

Apply by filling in the form below and send your CV in English!

myPOS is committed to providing equal employment opportunities. All qualified candidates will be considered for employment without discrimination based on age, ancestry, color, marital status, national origin, physical or mental disability, medical condition, veteran status, race, religion, sex, sexual orientation, gender identity or expression, or any other characteristic protected by applicable laws, regulations, and ordinances.

Your application will be confidentially reviewed in line with the General Data Protection Regulation (GDPR). Personal information will be used solely for the job application and will be stored for a period needed by the application process. Only short-listed candidates will be contacted. Good luck!