Senior Data Scientist

Quick Facts

• Role: Senior Data Scientist

Description

You will turn structured and unstructured customer data into actionable knowledge by applying advanced analytics, modeling, and visualization to solve business problems in data science. The role includes building data pipelines, developing and validating analytical and predictive models, and presenting results clearly to support better decisions.

Responsibilities

• Identify business problems, select the right data and methods

• Process large volumes of structured and unstructured customer data

• Generate actionable insights and measurable 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 to large projects

• Evaluate and select appropriate data science tools and libraries

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

• Continuously develop the team knowledge base and participate in brainstorming

• Educate and mentor 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 data exploration and analysis skills; ability to build models/frameworks and design experiments

• Advanced expertise in one or more domains: Computer Vision, Time Series, Natural Language Processing, Recommendation Systems, Predictive Analytics

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

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

• Ability to follow ML project lifecycle methodology processes (e.g., CRISP-DM, TDSP, LeanDS)

• Ability to design and oversee data labeling

• Ability to interpret/report results, provide business recommendations, and coach/train others

Benefits

• Hybrid work model with opportunity to work remotely within Poland

• Chance to work abroad up to 60 days annually; business-driven relocation opportunities

• Career development programs, mentoring, soft skills and well-being programs

• Certifications (e.g., Anthropic, Gemini, GCP, Azure, AWS) and English classes

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

• Benefits package: health insurance, Multisport, shopping vouchers; referral bonuses up to $2,000

• Office perks (entertainment/relaxation zones, table tennis/football, free snacks and coffee) and corporate/social/well-being events

Note: Benefits listed are available to employees only; contractor terms are agreed individually.