👉Senior Data Scientist
⚲ Warszawa
Do uzgodnienia
Wymagania
- Deep Learning
- PyTorch
- TensorFlow
- Pandas
- NumPy
- SQL
- GCP
- VertexAI
Opis stanowiska
🟣 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.
• 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.
🔍 Dekoder Ogłoszenia
🟡
driving the design, refinement, and evaluation of ML scoring models
Będziesz odpowiedzialny za cały cykl życia modeli uczenia maszynowego, od koncepcji po wdrożenie i monitorowanie.
🟡
design architecture of model strategies for complex solutions
Oczekuje się od Ciebie nie tylko tworzenia modeli, ale także projektowania ich infrastruktury i strategii działania w złożonych systemach.
🟡
collaborating with engineering and business stakeholders
Będziesz musiał efektywnie komunikować się i współpracować zarówno z zespołem technicznym, jak i z osobami odpowiedzialnymi za cele biznesowe.
🟡
providing technical leadership and quality assurance
Oprócz pracy nad modelami, będziesz nadzorować jakość pracy innych Data Scientistów i zapewniać zgodność z najlepszymi praktykami.
🟡
extensive hands-on experience in designing, training, and improving Deep Learning models for business-critical production use cases
Wymagane jest głębokie, praktyczne doświadczenie w tworzeniu i wdrażaniu modeli uczenia głębokiego, które mają bezpośredni wpływ na kluczowe procesy biznesowe.