Senior Data Scientist

EPAM Systems Inc; Województwo mazowieckie; Híbrido; PLN 180.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work design (Poland)

Relocation assistance

Health insurance

Employee stock purchase plan

Descripción de la vacante

EPAM Systems Inc is seeking a Senior Data Scientist to turn data into actionable knowledge within a cross-functional team in Poland. The role emphasizes solving business problems using advanced analytics, ML, and data visualization.

You will work on data pipelines, feature engineering, and model development, collaborating with product managers and engineers to translate insights into decisions. This position supports hybrid work with Poland-wide remote options and opportunities for growth.

Formación

• 3+ years of relevant experience with data systems
• High-quality Python code per PEP-8
• Ability to build models and design experiments
• Advanced knowledge in Computer Vision, Time Series, NLP, Recommender Systems or Predictive Analytics
• Knowledge of EDA and ML model evaluation metrics
• Understanding ML project lifecycle and CRISP-DM/TDSP/LeanDS methodologies
• Ability to lead and mentor junior/middle data scientists

Responsabilidades

• Identify business problems and collect data accordingly
• Process large structured and unstructured data with advanced analytics
• Transform data into actionable insights and visuals
• Build data pipelines for feature engineering and data cleaning
• Develop and validate analytical, econometric, descriptive, and predictive models
• Present findings to stakeholders and coordinate project delivery
• Coach junior data scientists and contribute to team knowledge base

Conocimientos

Python programming

Data analysis

Modeling

Communication

Educación

Bachelor's / Master's in CS / Math / Applied Statistics

Herramientas

Docker

Linux

CI/CD

MLflow

PyTorch

TensorFlow

AWS/Azure/GCP

PySpark

Descripción del empleo

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.