Senior Data Scientist

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SeniorZdalnie·PoznańFull-time

#477144·Dodano 5 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

Python Machine LearningExploratory Data AnalysisFeature EngineeringModel EvaluationNatural Language Processing Deep Learningtime series analysis

Podsumowanie oferty

As a Senior Data Scientist, you will turn data into actionable knowledge and solve business problems in the Data Science domain. You will process customer data, build and validate analytical and predictive models, and deliver insights using Python and Machine Learning methods.

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 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 and disadvantages of SOTA ML architectures and their applicable use cases.
Understand the Machine Learning 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:

A 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.
Experience completing projects using different methodologies or models, or knowledge of PyTorch or TensorFlow.
Experience with AWS, Azure, or GCP machine learning services.
Experience with PySpark.
Some experience in technical leadership on Machine Learning projects.

Obowiązki

Identify business problems and find suitable 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 data visualizations and data pipelines for feature engineering, missing-value treatment, and outlier detection.
Research, build, and validate analytical, mathematical, econometric, descriptive, and predictive models.
Estimate, plan, and coordinate the delivery of moderate- and large-sized projects.
Evaluate and select Data Science tools and libraries.
Present findings clearly and communicate data-driven findings and technical matters with stakeholders, product managers, engineers, and other departments.
Develop the team’s knowledge base and participate in brainstorming sessions.
Educate junior and mid-level Data Scientists.

Benefity

Career development programs, thought leadership, mentoring, soft skills, and well-being programs.
Certifications in 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

Ubezpieczenie

Karta sportowa

Udziały pracownicze

Premie

Darmowe przekąski

Napoje w biurze

Spotkania integracyjne

Chill room

Inne informacje

Remote work is available within Poland.
Working abroad is possible for up to 60 days annually.

EPAM Systems

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