As a Data Scientist in our team, you’ll leverage your expertise in Python, PyTorch, Scikit-learn, Pandas, and Matplotlib to explore complex datasets, analyze trends, and build powerful machine learning models. From data preprocessing to model training and evaluation, you’ll apply cutting-edge algorithms to solve real-world problems and make data-driven decisions. Collaborating with cross-functional teams, you’ll communicate your findings through compelling visualizations and actionable insights.
What you will do:
- Utilize your expertise in Python, PyTorch, Scikit-learn, Pandas, and Matplotlib to explore intricate datasets, analyze emerging trends, and construct impactful machine learning models.
- Lead efforts spanning data preprocessing, model training, and evaluation, employing state-of-the-art algorithms to address practical challenges and drive data-informed choices.
- Apply cutting-edge algorithms to solve real-world issues and guide strategic decision-making.
- Collaborate seamlessly with cross-functional teams, effectively communicating findings using engaging visualizations and actionable insights.
What you need:
- Proficiency in Python, PyTorch, Scikit-learn, Pandas, and Matplotlib.
- Experience exploring complex datasets, identifying trends, and drawing insights.
- Strong background in building and fine-tuning machine learning models.
- Ability to handle data preprocessing, model training, and evaluation.
- Familiarity with cutting-edge algorithms and their application in solving practical problems.
- Collaborative mindset to work effectively with cross-functional teams.
- Excellent communication skills to convey findings through compelling visualizations and actionable insights.
- Upper-intermediate English level.
What's in it for you:
- Ownership – we trust that you will do the right things to deliver maximum impact;
- Transparency – we say what we think and every voice is heard and respected, even when our opinions differ;
- Service – whether it’s for our customers or teammates, we always support each other;
- No bureaucracy, no micromanagement;
- 5 ill days per year;
- Flexible working schedule – you plan your working day based on your tasks and meetings;
- Corporate holidays and various team buildings.
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Tatyana Pinchuk
Recruiter
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