Data Science Leader
2 weeks ago
Job Summary
We are seeking a highly skilled Data Science Leader to join our team at Epam. As a key member of our data science team, you will be responsible for designing, developing, and implementing data science models and machine learning algorithms to solve complex problems.
Key Responsibilities
- Design and develop novel data science models and machine learning algorithms to solve complex business problems.
- Collaborate with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training.
- Train and fine-tune machine learning/deep learning models using large-scale datasets and distributed computing frameworks.
- Design and conduct experiments to evaluate the performance, robustness, and generalization of machine learning/deep learning models.
- Prepare technical documentation, including model architecture, implementation details, and experimental results.
Requirements
- Bachelor's or master's degree in computer science, data science, statistics, or related field.
- Minimum of 5 to 8 years of experience in data science and machine learning.
- Strong foundation in machine learning, deep learning, computer vision, and NLP.
- Proficiency in Python and experience with deep learning frameworks like TensorFlow, PyTorch, Keras, and JAX.
- Experience with pandas, scikit-learn, Matplotlib, spaCy, and statsmodels.
- General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts.
- Knowledge of statistical and algorithmic models as well as fundamental mathematical concepts.
- Familiarity with cloud services like AWS, Google Cloud, and Azure.
- Excellent written and verbal communication skills.
We Offer
- Opportunity to work on technical challenges that impact across geographies.
- Vast opportunities for self-development, including online university, knowledge sharing, and external certifications.
- Opportunity to share ideas on international platforms.
- Sponsored Tech Talks and Hackathons.
- Unlimited access to LinkedIn learning solutions.
- Possibility to relocate to any Epam office for short and long-term projects.
- Focused individual development.
- Benefit package, including health benefits, retirement benefits, paid time off, and flexible benefits.
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