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Senior Data Scientist
softgarden e-recruiting gmbhWarszawa, mazowieckie, Polska18 dni temu
Opis pracyDesign, build, and scale machine learning systems, including recommendation engines and predictive models for real-world business applications Analyze both structured and unstructured data, applying advanced ML and NLP techniques to extract insights and power intelligent products Own the end-to-end model lifecycle : from data preprocessing, experimentation, model training, evaluation, and tuning to deployment and continuous monitoring in production environments Apply MLOps best practices, ensuring reproducibility, versioning, CI / CD integration, and performance monitoring Translate complex business problems into robust ML solutions in collaboration with product, engineering, and domain experts Communicate clearly and effectively with both technical and non-technical stakeholders, articulating model behavior, assumptions, and trade-offs Continuously evaluate and implement state-of-the-art techniques, staying current with developments in ML, NLP, and deep learning Contribute to team growth, sharing expertise and mentoring peers in modeling, tooling, and system design At least 4 years of hands-on experience in machine learning, data science, or a similar role, with demonstrated ownership of deployed ML systems Strong 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 models Expertise in Python and ML / data libraries such as scikit-learn, xgboost, lightgbm, pandas, numpy, PyTorch or TensorFlow / Keras Experience with at least one major cloud platform (AWS, Azure, GCP), including usage of managed ML services or containerized deployment workflows Understanding of MLOps principles, including reproducibility, model monitoring, A / B testing, and automation Strong communication and storytelling skills, able to align model design with business value A collaborative mindset and the ability to work effectively within cross-functional teams Technologies - 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 tools Good English communication and written skill- English will be the working language Apache Spark or other distributed data processing tools Experience with recommender systems at scale MLOps tools (MLflow, SageMaker, Vertex AI, etc.) Vector databases, embedding search, or semantic search technologies you focus on a single project at a time you develop several projects simultaneously you can change the project you have influence on the choice of tools and technologies you have influence on the technological solutions applied you have influence on the product you develop the code "from scratch" you focus on product development you focus on code maintenance agile scrum kanban development budget mentoring time for development of your ideas You influence the tools, technologies, and modeling approaches used You contribute to product direction by shaping how ML is embedded into our offerings You have autonomy in experimentation, model design, and implementation We value learning, iteration, and invest in your growth as an ML expert remote work opportunities flexible working time integration events no dress code You influence the tools, technologies, and modeling approaches used You contribute to product direction by shaping how ML is embedded into our offerings You have autonomy in experimentation, model design, and implementation We value learning, iteration, and invest in your growth as an ML expert
Senior Data Scientist
Miejsce pracy : Warszawa
Technologies we use
Expected
- Python
- Microsoft Azure
- PyTorch
- TensorFlow
- Keras
- CI / CD tools
- Microsoft fabric
Your responsibilities
Our requirements
Optional
This is how we organize our work
This is how we work
Development opportunities we offer
What we offer
Benefits
How We Work
IMPORTANT
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.
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Senior Data Scientist • Warszawa, mazowieckie, Polska