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Senior Data Scientist
Компания: EPAM Systems
Город: Warsaw
Удалённо
We are looking for a Senior Data Scientist to join our team.
This job is about turning data into actionable knowledge, which requires a blend of scientific, problem-
solving, analytical, technical, and communication skills. The role is primarily focused on (but not limited
to) solving business problems in the technological domain of Data Science.
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 analyzed 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
Estimate, plan and coordinate the delivery of moderate/large sized projects
Evaluate and select the best matching Data Science tools and libraries
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 junior and middle Data Scientists
Requirements
3+ years of relevant experience working with a variety of information systems and data
Writing high-quality Python code according to PEP-8 guidelines
Strong knowledge of various data exploration and analysis techniques, ability to build models or analytical frameworks, develop hypotheses, and design experiments
Advanced knowledge in one of the domains: Computer Vision, Time Series, Natural Language Processing, Recommendation Systems, Predictive Analytics
Knowledge of EDA, classical vs advanced Machine Learning models, model performance metrics and losses, model fine-tuning
Knowledge of pros&cons for SOTA ML architectures and applicable use cases for them
Understanding of ML projects' life cycle and ability to follow methodology processes (CRISP-DM, TDSP, LeanDS, etc.) used in data science projects
Ability to design and supervise data labeling process
Ability to interpret and report results of analyses, provide business recommendations; ability to coach and train others
Nice to have
Strong academic background, Bachelor's / Master's Degree in Computer Science, Math, Applied Statistics, or a related field
Machine Learning Engineering mindset, experience with Docker, Linux, CI/CD, MLflow, etc
Projects completed using different methodology/models or knowledge of one of the Deep Learning frameworks (PyTorch, TensorFlow)
Experience with ML services of cloud providers: AWS, Azure, or GCP
Experience with PySpark
Some experience in ML project technical leadership
We offer
We gather like-minded people:
Top tech minds driving innovation in AI, cloud and digital platform modernization
Supportive team and agile, startup-like culture
Hybrid by design mode and opportunity to work remotely within Poland
Chance to work abroad for up to 60 days annually
Business-driven relocation opportunities
We provide growth opportunities:
Career development programs
Thought leadership, mentoring, soft skills and well-being programs
Certification (Anthropic, Gemini, GCP, Azure, AWS)
English classes
We cover it all:
Stable pay
Participation in the Employee Stock Purchase Plan with a 15% discount
Benefits package (health insurance, multisport, shopping vouchers)
Referral bonuses up to $2,000
Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
Corporate, social and well-being events
Please, note:
Benefits listed above are available to employees only
We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
We will reach out to selected candidates exclusively
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.