Job Description
Description
We are seeking a highly skilled Lead Data Scientist to join our team and lead a project focused on developing novel data science models and machine learning algorithms to solve complex problems.
In this role, you will be responsible for designing, developing, and implementing data science models and machine learning algorithms, including data pre-processing, training, optimization, and evaluation of models. You will work collaboratively with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training, and train and fine-tune machine learning/deep learning models using large-scale datasets and distributed computing frameworks.
#LI-DNI
Responsibilities
Design, develop, and implement novel data science models and machine learning algorithms that solve complex 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. 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 8 to 12 years of experience is required
Solid foundation in Machine Learning, Deep Learning, Computer Vision, NLP
Proficiency in Python
Experience with deep learning frameworks like Tensorflow, Pytorch, Keras, Jax, etc
General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts
Experience with pandas, scikit-learn, matplotlib, spacy, statsmodel, etc
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)
Experience in Natural Language Processing (NLP) preprocessing techniques
Excellent written and verbal communication skills
B2+ English level proficiency
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.)
