Senior Data Scientist Gurgaon, India
Senior Data Scientist Description
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking a seasoned Senior Data Scientist with 4-8 years of experience to become part of our team.
In this role as a Senior Data Scientist, you will focus on creating, developing, and deploying data science models and machine learning algorithms to tackle intricate challenges. You will work alongside data engineers and data scientists to gather, pre-process, and organize datasets that are optimal for training.
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Responsibilities
- Create, develop, and deploy innovative data science models and machine learning algorithms to address intricate challenges, including architectural design, data pre-processing, training, optimization, and evaluation
- Work collaboratively with data engineers and data scientists to gather, pre-process, and organize datasets for training
- Train and refine machine learning/deep learning models using extensive datasets and distributed computing frameworks, ensuring models are optimized for performance, efficiency, and scalability
- Design and execute experiments to assess the performance, robustness, and generalization of machine learning/deep learning models, employing appropriate metrics and statistical analysis for interpretation of results
- Generate technical documentation detailing model architecture, implementation, and experimental outcomes, and communicate findings, insights, and recommendations to both technical and non-technical audiences
Requirements
- Bachelor’s or master’s degree in computer science, Data Science, Statistics, or a related field
- 4 to 8 years of experience
- Strong foundation in Machine Learning, Deep Learning, Computer Vision, NLP
- Proficiency in Python
- Experience with deep learning frameworks such as Tensorflow, Pytorch, Keras, Jax
- Experience with pandas, scikit-learn, Matplotlib, spacy, statsmodel
- General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts
- Knowledge of statistical and algorithmic models and fundamental mathematical concepts, such as linear algebra and probability
- Familiarity with cloud services like 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.)
