👉Senior Data Scientist

🟣 You will be:

• 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.
  

🟣 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.

🟣 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

🎁 Benefits 🎁

✍ Development:

• development budgets of up to 6,800 PLN,

• we fund certifications e.g.: AWS, Azure,

• access to Udemy, O'Reilly (formerly Safari Books Online) and more,

• events and technology conferences,

• technology Guilds,

• internal training,

• Xebia Upskill.

🩺 We take care of your health:

• private medical healthcare,

• multiSport card - we subsidise a MultiSport card,

• mental Health Support.

🤸‍♂️ We are flexible:

• B2B or employment contract,

• contract for an indefinite period.