EPAM Systems

Senior Data Scientist

Brak informacji o wynagrodzeniu

SeniorZdalnieFull-time

#267779·Dodano 10 miesięcy temu·53

Źródło: EPAM Systems

Aplikuj teraz

Tech Stack / Keywords

PythonPEP-8Machine LearningEDACRISP-DMTDSPLeanDSDocker Linux MLflow

Podsumowanie oferty

The Senior Data Scientist turns data into actionable knowledge and solves business problems in the Data Science domain. The role includes researching, building and validating analytical and predictive models, with Python as a stated core technology.

Wymagania

3+ years of relevant experience working with a variety of information systems and data.
Write high-quality Python code according to PEP-8 guidelines.
Strong knowledge of data exploration and analysis techniques; ability to build models or analytical frameworks, develop hypotheses and design experiments.
Advanced knowledge in at least one of these domains: Computer Vision, Time Series, Natural Language Processing, Recommendation Systems or Predictive Analytics.
Knowledge of EDA, classical and advanced Machine Learning models, model performance metrics and losses, and model fine-tuning.
Knowledge of the advantages, limitations and applicable use cases of SOTA ML architectures.
Understand the ML project life cycle and follow methodologies such as CRISP-DM, TDSP and LeanDS.
Ability to design and supervise data-labeling processes.
Ability to interpret and report analysis results, provide business recommendations, and coach and train others.

Nice to have:

Bachelor's or Master's degree in Computer Science, Mathematics, Applied Statistics or a related field.
A Machine Learning Engineering mindset and experience with Docker, Linux, CI/CD or MLflow.
Projects completed using different methodologies or models, or knowledge of a Deep Learning framework such as PyTorch or TensorFlow.
Experience with AWS, Azure or GCP machine-learning services.
Experience with PySpark.
Some experience in technical leadership of ML projects.

Obowiązki

Identify business problems and find the appropriate data and methods to address them.
Process large volumes of structured and unstructured customer data using advanced analytical solutions.
Turn analyzed data into actionable insights and business value.
Create high-quality data visualizations.
Create data pipelines for feature engineering, missing-value treatment and outlier detection.
Research, build and validate analytical, mathematical, econometric, descriptive and predictive models to support better decisions across industries and data sources.
Estimate, plan and coordinate delivery of moderate- and large-sized projects.
Evaluate and select suitable Data Science tools and libraries.
Present findings clearly and informatively.
Communicate data-driven findings and technical matters to stakeholders, product managers, engineers and other departments and roles.
Develop the Data Scientists team's knowledge base and participate in brainstorming sessions.
Educate junior and middle Data Scientists.

Benefity

Career development programs.
Thought leadership, mentoring, soft-skills and well-being programs.
Certification opportunities involving Anthropic, Gemini, GCP, Azure and AWS.
English classes.
Participation in the Employee Stock Purchase Plan with a 15% discount.
Benefits package including health insurance, Multisport and shopping vouchers.
Referral bonuses up to $2,000.
Offices with entertainment and relaxation zones, table tennis, football, free snacks and coffee.
Corporate, social and well-being events.
Business-driven relocation opportunities.

Kursy językowe

Udziały pracownicze

Ubezpieczenie

Karta sportowa

Premie

Darmowe przekąski

Napoje w biurze

Spotkania integracyjne

Inne informacje

Remote work is available within Poland; the work mode is described as hybrid by design.
The opportunity to work abroad is available for up to 60 days annually.

EPAM Systems

1762 aktywne oferty

Zobacz wszystkie oferty

Aplikuj teraz