Senior Data Scientist

Quick Facts

Senior Data Scientist

Description

You will turn data into actionable knowledge by solving business problems in the Data Science domain. The role focuses on processing large volumes of structured and unstructured customer data, building models, creating visualizations, and delivering clear insights to stakeholders.

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 actionable insights and business value
• Create high-quality data visualizations
• Build data pipelines for feature engineering, missing value treatment, outlier detection, and related tasks
• Research, build, and validate analytical, mathematical, econometric, descriptive, and predictive models
• Estimate, plan, and coordinate delivery of moderate/large projects
• Evaluate and select the best matching Data Science tools and libraries
• Present findings clearly and informatively
• Communicate effectively with stakeholders, product managers, and engineers
• Continuously develop team knowledge and participate in brainstorming
• Educate junior and middle Data Scientists

Requirements

• 3+ years of relevant experience working with 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: Computer Vision, Time Series, Natural Language Processing, Recommendation Systems, Predictive Analytics
• Knowledge of EDA, classical vs advanced ML models, model performance metrics and losses, and model fine-tuning
• Knowledge of pros/cons for SOTA ML architectures and applicable use cases
• Understanding of the ML project lifecycle and ability to follow methodology processes (CRISP-DM, TDSP, LeanDS)
• Ability to design and supervise data labeling process
• Ability to interpret and report results and provide business recommendations; ability to coach and train others

Benefits

• Hybrid-by-design mode with opportunity to work remotely within Poland
• Opportunity to work abroad up to 60 days annually; business-driven relocation opportunities
• Career development programs, mentoring, soft skills and well-being programs
• Certification options (Anthropic, Gemini, GCP, Azure, AWS)
• English classes
• Stable pay; Employee Stock Purchase Plan with a 15% discount
• Health insurance and additional benefits (multisport, shopping vouchers)
• Referral bonuses up to $2,000
• Office perks and events (entertainment/relaxation zones, snacks, coffee, corporate and social events)
• Contractors and B2B cooperation are possible; benefits apply to employees only