Senior Data Scientist

Quick Facts

• Role: Senior Data Scientist

Description

You will turn large volumes of structured and unstructured customer data into actionable knowledge. The role focuses on solving business problems in data science through advanced analytics, model development and validation, data pipelines, and clear communication of insights.

Responsibilities

• Identify business problems, find relevant data and methods

• Process large volumes of structured and unstructured customer data

• Produce unique actionable insights and business value

• Create high-quality data visualizations

• Build 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 delivery of moderate/large projects

• Evaluate and select the best matching data science tools and libraries

• Present findings clearly and communicate with stakeholders, product managers, and engineers

• Maintain and grow the team knowledge base; 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 following PEP-8

• Strong knowledge of data exploration and analysis; ability to build models/analytical frameworks, develop hypotheses, and design experiments

• Advanced knowledge in one domain: Computer Vision, Time Series, Natural Language Processing, Recommendation Systems, or Predictive Analytics

• Knowledge of EDA, classical vs. advanced ML models, model performance metrics and losses, and model fine-tuning

• Understand pros/cons of SOTA ML architectures and their use cases

• Know the ML project lifecycle and follow data science methodologies (CRISP-DM, TDSP, LeanDS, etc.)

• Ability to design and supervise data labeling process

• Interpret and report results with business recommendations; coach and train others

Benefits

• Hybrid work with opportunity to work remotely within Poland

• Chance to work abroad up to 60 days annually

• Business-driven relocation opportunities

• Career development programs; mentoring and soft-skills support

• Certification support (Anthropic, Gemini, GCP, Azure, AWS)

• English classes

• Stable pay; Employee Stock Purchase Plan with 15% discount

• Benefits package (health insurance, multisport, shopping vouchers)

• Referral bonuses up to $2,000

• Office perks and corporate/social/well-being events