Senior Data Scientist (Customer-focused / applied ML) | PeakData [25-30k PLN B2B]

Team: PeakData

Location: Remote but only within Poland

Commitment: full time

Workplace Type: hybrid

Your responsibilities:

• Customer-driven classification - designing, training, and evolving high-precision text classifiers over noisy, real-world data sources. Success is measured by downstream customer outcomes, not just offline metrics. 
• Working under ambiguity - with labels shaped by human judgment, business context, and evolving criteria. You’ll reason about disagreement, uncertainty, and “good enough” definitions rather than assuming a single ground truth. 
• Using LLMs as tools, not magic - working with LLMs where they actually help: weak supervision, zero-/few-shot classification, feature extraction, assisted labeling, or synthetic data generation - with a clear understanding of failure modes and bias. 
• Active learning & data strategy - deciding what to label next and why. Building active learning loops that maximize information gain while minimizing labeling effort and cost. 
• Spec-driven, agent-friendly development - co-shaping explicit, testable specifications with teams focused on Product Management and Engineering, taking a leading role in defining learning objectives, labels, and model behavior so that engineering teams and their AI-assisted workflows can reliably execute. 
• End-to-end ownership - taking the responsibility of business value and experimentation through deployment and monitoring. You’ll collaborate closely with the Engineering Team building the platform, while operations run and monitor the production pipelines - your role is to ensure models, specifications, and learning strategies align cleanly across both. 
• Decisions are expected to be pragmatic and iterative - clarity and momentum matter more than theoretical completeness.

What you’ll need?

• Min. 5 years of experience in building and deploying classifiers, with at least 3 years on noisy, real-world text and understanding trade-offs in feature engineering, modeling choices, and evaluation under uncertainty (Strong ML/NLP foundation; not Computer Vision).
• Data science engineering mind - with a strong experience in Python, cloud, production-ready code and models beyond notebooks - taking care about QA, monitoring, and long-term behavior at the same time.
• Hands-on experience in designing data pipelines and transforming unstructured data into actionable insights.
• Practical LLM experience - using LLMs in production or near-production workflows and know when they help - and when they absolutely don’t.
• Customer-oriented mindset - asking “what problem are we really solving for the customer?” before “how do we model this?” - with the comfort of talking directly to stakeholders and shaping definitions.
• B2/C1 levels of both Polish and English while speaking and writing with the team and clients!
 
Nice to haves: experience in life sciences; familiarity with scikit-learn and pandas.

What you’ll get?

• Salary of 25-30k PLN/month B2B.
• Growth - % of equity, coaching to grow your technical influence and impact.
• High autonomy - latitude to choose approaches, influence architecture, and shape the product and company direction.
• Flexibility with working via hybrid/remote mode.
• Nice culture - working on OKRs, with transparent and async-friendly communication plus bias-to-action mindset.