Senior Data Scientist, REMOTE WARSZAWA RZESZÓW GDAŃSK WROCŁAW
Your profile:
- extensive hands-on experience in designing, training, and improving Deep Learning models for business-critical production use cases,
- proven expertise in deep learning frameworks such as PyTorch or TensorFlow, as well as strong practical knowledge of Pandas and NumPy,
- advanced SQL skills, preferably including analytical SQL used in large-scale data environments,
- strong experience with public cloud infrastructure, preferably Google Cloud Platform, including ML oriented services such as Vertex AI and Vertex Pipelines,
- proven ability to lead end-to-end model development, from problem framing and feature design to evaluation and production handoff,
- strong engineering foundations, including writing production-level, testable, and documented Python code, with familiarity with CI/CD practices,
- ability to mentor other Data Scientists and raise modeling standards across the team,
- relevant academic degree or extensive professional experience in a STEM field (e.g. Computer Science, Mathematics, Mathematical Statistics, Quantitative Methods, or Physics),
- openness to on-site workshops max 1-3 per quarter in Warsaw.
Work from the European Union region and a work permit are required.
Nice to have:
- experience in developing ML models for low-latency online applications,
- experience within the advertising or marketing domains,
- demonstrated experience in developing ML models for predicting business events like clicks or conversions (i.e., Click-Through Rate (CTR) and Conversion Rate (CVR) modelling),
- proficiency in traditional machine learning techniques, such as Gradient Boosted Trees,
- experience in mentoring, technical leadership, or coordinating model development across a broader team,
- practical use of AI-assisted coding tools to improve engineering productivity and quality.
Recruitment Process:
CV review – HR call – Interview – Client Interview – Decision
Who We Are
While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.
What We Do
We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.
We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!
Beyond Projects
What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.
What sets us apart?
Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.
,[driving the design, refinement, and evaluation of ML scoring models (e.g., CTR, CVR, and RoAS), integral to core bidding logic,, design architecture of model strategies for complex solutions integrating user, product, and placement signals, ensuring readiness for high-throughput and low-latency environments,, collaborating with engineering and business stakeholders to translate strategic goals into measurable modeling outcomes and technical roadmaps,, providing technical leadership and quality assurance for Data Science workstreams within the project scope to ensure alignment with production standards.] Requirements: Python, PyTorch, TensorFlow, SQL, GCP, Vertex AI, Vertex AI Pipelines, CI/CD, Docker, ML Models Additionally: Training budget, Private healthcare, Multisport, Integration events, International projects, Mental health support, Referral program, Modern office, Canteen, Free snacks, Free beverages, Free tea and coffee, No dress code, Playroom, In-house trainings, In-house hack days, Normal atmosphere :).