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Data Scientist

Data Scientist

EpamBangalore, India
30+ days ago
Job description

Description

We are seeking a highly skilled Data Scientist to join our team.

Our client is a leading provider of innovative solutions in the field of Business and Data Analysis. As a Data Scientist, you will be responsible for designing and implementing data science models and machine learning algorithms that solve complex problems and provide insights to our clients.

LI-DNI

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

  • Bachelors or masters 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.)