Machine Learning (master)
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.
You can work remotely or join one of our offices, which are located in Warsaw, Krakow, Katowice, Wroclaw and Gdansk.
The remote option applies only to the Candidates who will be working from any location in Poland.
Currently we are looking for a Data Scientist Time Series . We support Employment Contract or B2B, depending on your preference.
This role is about turning data into actionable knowledge, which requires a blend of scientific, problem solving, analytical, technical, and communication skills.
The Job is primarily focused on (but not limited to) solving business problems in technological domain of Time Series.
Identify business problems, find the right data and methods to address them
Process large volumes of structured and unstructured customer data using advanced analytical solutions
Turn analysed data into unique actionable insights and business value
Create high-quality data visualizations
Create data pipelines for feature engineering, missing values treatment, outliers' detection, etc
Perform research, build, and validate analytical, mathematical, econometric, descriptive, and predictive models that deliver better decisions across a broad range of industries and data sources
Present findings in a clear and informative way
Communicate effectively with different departments and roles (stakeholders, product managers, engineers) to discuss complex data-driven findings and technical matters
Continuously develop knowledge base within the Data Scientists team, participate in common brainstorming sessions
Educate and train Junior and Middle Data Scientists
1-2+ years of relevant experience; working knowledge and understanding of model / framework implementation and hypotheses testing
Basic ability to build models or analytical frameworks, develop hypotheses, and design experiments
Knowledge of basic Time Series Analysis concepts : autocorrelation, methods to achieve stationarity, understanding of Time-series components and their decomposition
Knowledge of exploratory data analysis, classical Machine Learning models, model performance metrics and losses, model finetuning
Broad understanding of available SOTA methodologies : ARIMA, smoothing, Prophet, RNNs, regression, classification and clustering of Time-series data, distance metrics for Time-series
Understanding of ML projects' life cycle
Ability to follow methodology processes (CRISP-DM, Lean DS, SEMMA, etc.) used in Data Science
Writing high-quality Python code according to PEP-8 guidelines
NICE TO HAVE
Strong academic background, Bachelor’s / Master’s Degree in Computer Science, Math, Applied Statistics, or a related field
Projects completed using different methodology / models, e.g. wavelets, SSA, Fourier analysis, anomaly search algorithms for time-series
Knowledge of one of the Deep Learning frameworks (PyTorch, Tensorflow)
Experience with ML solutions of cloud providers : AWS, Azure, or GCP
Experience with PySpark or Da Vinci
Experience in ML project technical leadership
Vast opportunities for self-development : online courses and library, experience exchange with colleagues around the world, partial grant of certification
English language classes
Polish language classes for Foreigners
Career development center
Unlimited access to LinkedIn learning solutions
Possibility to relocate for short and long-term projects (ex. to USA or Switzerland)
Benefit package (private insurance, health care, multisport, lunch tickets, and shopping vouchers, etc.)
Possibility to be involved in an international project
Remote work options
Mentoring programs with experts that will help you to grow
Discount on Apple products up to 10%
Relocation package for foreign applicants as well as for people relocating within Poland
Employment Contract or B2B, depending on your preferences