Data Scientist

Year Hyderabad, Telangana, India

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RESPONSIBILITIES

Design, develop, and implement novel data science models and machine learning algorithms that solve complex problems. This includes architectural design, data pre-processing, training, optimization, and evaluation of models
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. Optimize models for performance, efficiency, and scalability
Design and conduct experiments to evaluate the performance, robustness, and generalization of tune machine learning/deep learning models. Use appropriate metrics and statistical analysis to measure and interpret results
Prepare technical documentation, including model architecture, implementation details, and experimental results. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders

REQUIREMENTS

Bachelor\xe2\x80\x99s or master\xe2\x80\x99s degree in computer science, Data Science, Statistics, or related field
Minimum of 3 to 5 years of experience is required
Solid foundation in Machine Learning, Deep Learning, Computer Vision, NLP
Proficiency in Python
Experience Deep learning frameworks like Tensorflow, Pytorch, Keras, Jax, etc
Experience with pandas, scikit-learn, matplotlib, spacy, statsmodel, etc
General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts
Knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability
Familiarity with cloud services (AWS, Google Cloud, Azure)
Excellent written and verbal communication skills

WE OFFER

Opportunity to work on technical challenges that may impact across geographies
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
Opportunity to share your ideas on international platforms
Sponsored Tech Talks & 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
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

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