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Senior Data Scientist (Time Series)

Senior Data Scientist (Time Series)

EpamPoland
30+ days ago
Job description

Description

We are looking for a Senior Data Scientist to join our dynamic Data Practice team and collaborate on EPAMs strategic projects.

This role involves 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 the technological domain of Time Series.

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Responsibilities

  • 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

Requirements

  • At least 3 years of relevant experience; working knowledge and understanding of model / framework implementation and hypotheses testing
  • Ability to build models or analytical frameworks, develop hypotheses, and design experiments
  • Knowledge of 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
  • Experience with cloud providers (AWS, Azure, or GCP)

    • Nice to have

  • 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 PySpark or Da Vinci

    • We offer

  • We gather like-minded people : Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Relocation within our 50+ offices
  • We provide growth opportunities : Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, OReilly, Cloud Guru Language classes in English and Polish for foreigners
  • We cover it all : Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events
  • Please, note : The set of bonuses might vary based on the role you apply for specifics will be discussed with our recruiter during the general interview We will reach out to selected candidates exclusively

    • 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.

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    Senior Data Scientist • Poland