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LeverX

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IT - Software Development

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Job Description:

At LeverX, we have had the privilege of delivering over 950 projects. With 20+ years in the market, our team of 1,800 is strong, reliable, and always evolving: learning, growing, and striving for excellence. We are looking for a Data Scientist to join us.

Job Responsibility:

Collaborate closely with a distributed team of Data Scientists, Engineers, and stakeholders across various time zones
Own the full lifecycle of AI/ML solutions, from initial research and prototyping to model deployment and monitoring in production
Engage with business stakeholders to gather requirements, clarify goals, and translate them into data-driven solutions
Leverage cloud ML services and containerized APIs to build scalable machine learning pipelines
Apply classical ML models and neural networks using cutting-edge frameworks for a wide range of predictive and analytical tasks
Utilize AI tools extensively in the SDLC process

Requirements:

3+ years of experience as a Data Scientist
Hands-on experience with data analysis (probability theory and statistics, table data analysis experience) and statistical libraries such as SciPy or statsmodels
Knowledge and hands-on experience with machine learning, including both supervised and unsupervised learning, classical models, neural networks, and popular frameworks (scikit-learn, LightGBM, XGBoost, Keras, PyTorch, and TensorFlow)
Proficiency in Python and the ability to create APIs for developed solutions using tools such as FastAPI, Flask, Django REST framework, TensorFlow Serving, PyTorch Serving, Docker, and others
Experience with reporting and visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly, Altair, Jupyter Notebooks, Streamlit, TensorBoard) as well as with machine learning services offered by at least one major cloud provider (AWS, Azure, or GCP)
Understanding of DataOps and MLOps
Experience working according to Agile practices
English B2+

Nice to have:

Experience with Generative AI frameworks: LangChain, LlamaIndex
Experience with DataOps or MLOps
Knowledge of Atlassian products such as Jira or Confluence

What we offer:

Projects in different domains: Healthcare, manufacturing, e-commerce, fintech, etc.
Projects for every taste: Startup products, enterprise solutions, research & development projects, and projects at the crossroads of SAP and the latest web technologies
Global clients based in Europe and the US, including Fortune 500 companies
Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
Healthy work atmosphere: On average, our employees stay in the company for 4+ years
Market-based compensation and regular performance reviews
Internal expert communities and courses
Perks to support your growth and well-being

Additional Information:

Job Posted:
December 09, 2025

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Data Scientist