Data Scientist - Time Series
EPAM Systems
Rome, Italy
3 gg fa
source : Just Join IT

RDBMS (advanced)

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

  • 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
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