Senior/Lead Data Scientist
Tech skills:
- Java - Excellent
- Spring - Good
- SQL - Excellent
- OOP - Excellent
- REST - Good
- SOAP - Good
- Microservices - Good
Your tasks
- Design and develop large scale applications using Java 8+, Kotlin, Groovy and the latest versions of modern frameworks
- Focus on backend software development and integrations with third-party products
- Contribute to the overall software development life-cycle including requirements gathering/analysis, design, development, release/version control, testing, deployment and support
- Be a part of an agile-based and globally distributed team
- Share your experience with colleagues
Who we're looking for?
- At least 5 years experience as a Data Scientist;
- Great Python coding skills;
- Hands-on experience with data analysis: probability theory and statistics, table data analysis experience; experience with statistical libs like scipy, statsmodels;
- Great understanding and proven experience with machine learning (both supervised and unsupervised) classical models and neural networks and experience with popular frameworks (sklearn, LightGBM, xgboost, keras, pytorch, tensorflow. );
- Ability to create API for a developed solution (FastAPI, Flask, django rest framework, tensorflow-serving, pytorch-serving, Docker, etc. );
- Experience with reporting and visualization tools and libs (matplotlib, seaborn, plotly, altair, possibly jupyter notebooks, streamlit, tensorboard, etc. );
- Experience with ML services provided by at least one hyperscaler (AWS , Azure, GCP);
- Understanding of DataOps and MLOps;
- Experience working according to Agile practices;
- Superior communication skills;
- Upper-Intermediate English.
A BIG PLUS WOULD BE
- Experience as a team lead;
- Experience with Generative AI (LLM, cloud services, LangChain);
- DataOps, MLOps experience;
- Knowledge of Atalssian products Jira, Confluence.
Project description
Opportunities:
- Excellent working environment: the company is big enough to be reliable, yet small enough to be person-oriented;
- Full-cycle projects and product development;
- Training & development-focused approach: a clear roadmap for training employees to sustain and enhance the productivity of the organization as a whole;
- Collaboration with the teams from the European Union both on-site and remotely.
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