Senior Data Scientist
Miejsce pracy : Warszawa
Technologies we use
Expected
- Python
- Microsoft Azure
- PyTorch
- TensorFlow
- Keras
- CI / CD tools
- Microsoft fabric
Your responsibilities
Design, build, and scale machine learning systems, including recommendation engines and predictive models for real-world business applicationsAnalyze both structured and unstructured data, applying advanced ML and NLP techniques to extract insights and power intelligent productsOwn the end-to-end model lifecycle : from data preprocessing, experimentation, model training, evaluation, and tuning to deployment and continuous monitoring in production environmentsApply MLOps best practices, ensuring reproducibility, versioning, CI / CD integration, and performance monitoringTranslate complex business problems into robust ML solutions in collaboration with product, engineering, and domain expertsCommunicate clearly and effectively with both technical and non-technical stakeholders, articulating model behavior, assumptions, and trade-offsContinuously evaluate and implement state-of-the-art techniques, staying current with developments in ML, NLP, and deep learningContribute to team growth, sharing expertise and mentoring peers in modeling, tooling, and system designOur requirements
At least 4 years of hands-on experience in machine learning, data science, or a similar role, with demonstrated ownership of deployed ML systemsStrong grasp of core ML techniques : regression, classification, clustering, regularization, ensemble methods, neural networks, etc.Solid experience with Natural Language Processing (NLP) from traditional methods (TF-IDF, topic modeling) to transformer-based architectures (e.g., BERT, GPT, T5)Working knowledge of recommendation engines, such as collaborative filtering, content-based filtering, or hybrid modelsExpertise in Python and ML / data libraries such as scikit-learn, xgboost, lightgbm, pandas, numpy, PyTorch or TensorFlow / KerasExperience with at least one major cloud platform (AWS, Azure, GCP), including usage of managed ML services or containerized deployment workflowsUnderstanding of MLOps principles, including reproducibility, model monitoring, A / B testing, and automationStrong communication and storytelling skills, able to align model design with business valueA collaborative mindset and the ability to work effectively within cross-functional teamsTechnologies - Python, Machine Learning (Supervised / Unsupervised Learning, Deep Learning), NLP (traditional and transformer-based), PyTorch / TensorFlow / Keras, Cloud platforms (AWS, Azure, or GCP), Git, CI / CD toolsGood English communication and written skill- English will be the working languageOptional
Apache Spark or other distributed data processing toolsExperience with recommender systems at scaleMLOps tools (MLflow, SageMaker, Vertex AI, etc.)Vector databases, embedding search, or semantic search technologiesThis is how we organize our work
This is how we work
you focus on a single project at a timeyou develop several projects simultaneouslyyou can change the projectyou have influence on the choice of tools and technologiesyou have influence on the technological solutions appliedyou have influence on the productyou develop the code "from scratch"you focus on product developmentyou focus on code maintenanceagilescrumkanbanDevelopment opportunities we offer
development budgetmentoringtime for development of your ideasWhat we offer
You influence the tools, technologies, and modeling approaches usedYou contribute to product direction by shaping how ML is embedded into our offeringsYou have autonomy in experimentation, model design, and implementationWe value learning, iteration, and invest in your growth as an ML expertBenefits
remote work opportunitiesflexible working timeintegration eventsno dress codeHow We Work
You influence the tools, technologies, and modeling approaches usedYou contribute to product direction by shaping how ML is embedded into our offeringsYou have autonomy in experimentation, model design, and implementationWe value learning, iteration, and invest in your growth as an ML expertIMPORTANT
Please send your CV in English only
softgarden e-recruiting gmbh
Working at softgarden means constantly rethinking recruiting. As one of the leading providers for recruiting solutions, we bring companies and applicants together, quickly and easily. With our unique softgarden feedback solution, employer branding strategies are optimised and employee evaluations are presented transparently.
Together with 180 employees, softgarden stands for an open company culture in which everyone motivates, listens and trusts. We are proud of our team cohesion and are looking for new colleagues to support our mission to modernise recruiting.