Junior Data Scientist Lithuania or Remote
Junior Data Scientist Description
Job #: 74082
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 looking for talented and motivated junior specialists to strengthen our Data Science team.
Challenging production projects will expose you to:
- Predictive modelling;
- Computer vision;
- Natural language processing;
- Recommender systems;
- Optimization problems.
You’ll work closely with senior colleagues in all stages of data science projects: problem framing, data exploration, feature engineering, model building and validation, results interpretation and presentation using the most advanced techniques and hardware.
#LI-DNI
#LI-DNP
DESCRIPTION
We are looking for talented and motivated junior specialists to strengthen our Data Science team.
Challenging production projects will expose you to:
- Predictive modelling;
- Computer vision;
- Natural language processing;
- Recommender systems;
- Optimization problems.
You’ll work closely with senior colleagues in all stages of data science projects: problem framing, data exploration, feature engineering, model building and validation, results interpretation and presentation using the most advanced techniques and hardware.
#LI-DNI
#LI-DNP
Responsibilities
- Perform data munging (acquiring, cleaning, structuring and enriching raw data)
- Conduct exploratory data analysis
- Build, validate and improve ML models
- Visualize and communicate the obtained results
Requirements
- Aptitude for problem-solving
- Data focused applied mathematics (probability theory, statistical analysis, operations research)
- Machine learning fundamentals (supervised and unsupervised methods)
- Experience with any of the data analysis tools and libraries such as Python (NumPy/SciPy/scikit-learn/pandas/matplotlib), R, SAS, SPSS, MATLAB, etc
- Exposure to SQL and databases
Nice to have
- Deep learning (PyTorch/Keras/TensorFlow)
- Computer vision (OpenCV/scikit-image/torchvision)
- Familiarity with BI (DW/ETL/OLAP)
- Data visualization skills
- Spark/MLlib
- NLP/text mining
- Econometrics models and methods
We offer
- Innovative solutions delivery to the world’s digital changes
- Experience exchange with colleagues all around the world
- Opportunities for self-realization
- Friendly team and enjoyable working environment
- Engineering, corporate and social events
- Social package: professional & soft skills trainings, medical & family care programs, sports
- Free English classes
- Flexible working schedule
