Data Scientist

3 days ago

Chennai, India Epam Full time
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-DNIResponsibilities

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 modelsCollaborate with data engineers and data scientists to collect, pre-process, and curate datasets suitable for trainingTrain and fine-tune machine learning/deep learning models using large-scale datasets and distributed computing frameworks. Optimize models for performance, efficiency, and scalabilityDesign 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 resultsPrepare 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 fieldMinimum of 3 to 5 years of experience is requiredSolid foundation in Machine Learning, Deep Learning, Computer Vision, NLPProficiency in PythonExperience Deep learning frameworks like Tensorflow, Pytorch, Keras, Jax, etcExperience with pandas, scikit-learn, matplotlib, spacy, statsmodel, etcGeneral understanding of data structures, algorithms, multi-threaded programming, and distributed computing conceptsKnowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probabilityFamiliarity 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 geographiesVast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certificationsOpportunity to share your ideas on international platformsSponsored Tech Talks & HackathonsUnlimited access to LinkedIn learning solutionsPossibility to relocate to any EPAM office for short and long-term projectsFocused individual developmentBenefit package: Health benefits Retirement benefits Paid time off Flexible benefitsForums to explore beyond work passion (CSR, photography, painting, sports, etc.)

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