Data Scientist - Time Series

EPAM Systems - view profile

100% Remote

April 27

Poland
Mid
ASAP
Full-time
Contract of Employment, B2B contract
English (B2)
100% remote
Ukrainian friendly job
See details
- Employer is accepting candidates from Ukraine for this job offer
- Employer will assist in acquiring work permits for candidates from Ukraine.
- Accepting candidates who do not speak Polish. English is required

12 000 - 14 500 PLN

gross / month (employment)

Apply now

Company size

250+

EPAM Systems delivers, fully functional, transformative software solutions that drive business including Financial Services, Software, Hi-Tech, and Media Entertainment. Join a diverse community that will help you discover your fullest potential.

Job description

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.

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

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
Educate and train Junior and Middle Data Scientists

Requirements and qualifications

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

Benefits

Home office possible
Employment Contract or B2B, depending on your preferences

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Offer is no longer available

Data Scientist - Time Series

EPAM Systems - view profile

Job description

Nice to have

Responsibilities

Requirements and qualifications

Benefits

Increase your chances of getting this job

Similar job offers

Offer is no longer available

Data Scientist - Time Series

EPAM Systems - view profile

Job description

Nice to have

Responsibilities

Requirements and qualifications

Benefits

Increase your chances of getting this job

Similar job offers

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