Senior Data Scientist

Brak informacji o wynagrodzeniu

SeniorOn-siteFull-time

#437461·Dodano miesiąc temu·2

Źródło: LinkGroup

Tech Stack / Keywords

machine learningreinforcement learningcontextual banditscausal inferencePython Databricks Spark MLflowreinforcement learningSPRT

LinkGroup is a global technology organisation.

5+ years of professional experience in Data Science, Machine Learning or related quantitative fields.
Proven track record of deploying machine learning models to production.
Strong Python skills and experience with platforms such as Databricks, Spark, and MLflow.
Expertise in personalisation and recommendation systems.
Hands-on experience with reinforcement learning and/or contextual bandits including Thompson Sampling and epsilon-greedy approaches.
Strong understanding of experimentation and causal inference, including controlled experiments in high traffic environments.
Experience with classical machine learning techniques like regression, classification, clustering, and recommendation.
Experience with customer behavior data, segmentation, and production feature pipelines.
Strong statistical reasoning and accurate evaluation of model and experimental results.
Excellent communication skills for technical and non-technical stakeholders.
Pragmatic, curious, and collaborative problem-solving approach.

Nice to have:

Experience with off-policy evaluation, counterfactual learning, or propensity methods.
Knowledge of sequential testing including SPRT.
Experience with experimentation platforms such as Statsig or similar.
Experience with streaming systems and low-latency model inference.
Experience using unstructured data including embeddings and text signals.
Background in marketing, CRM decisioning, customer communications, or funnel/conversion optimisation.

Build, own and continuously improve ML and reinforcement learning models running in production.
Develop decisioning logic for best next action across customer journeys and communication lifecycles.
Design and evolve contextual bandit systems, including Thompson Sampling, offline policy evaluation, and low-latency deterministic inference.
Collaborate with Engineering teams on system architecture and integration of models into production platforms.
Define how models make decisions, serve decisions at scale, and safely handle failures and rollbacks.
Lead experimentation for decisioning models, defining success metrics, guardrails, and methodologies.
Apply statistical methods such as sequential testing, propensity methods, and causal inference to evaluate model performance.
Monitor production models for performance, data quality, drift, and latency.
Analyze customer behavior and translate model outputs for business and marketing stakeholders.
Collaborate with Engineering, Marketing Analytics, CRM, and Product teams to produce measurable business outcomes.

Work on large-scale machine learning systems with millions of users.
Direct impact on personalisation, customer experience, and business performance.
Collaboration with experienced Data Scientists, Engineers, Product Managers, and Analytics professionals internationally.
Modern technology stack with influence on ML architecture and experimentation.
End-to-end ownership from problem definition to production and optimisation.
Exposure to advanced machine learning areas including reinforcement learning, contextual bandits, causal inference, and AI-powered decisioning.
Highly collaborative, autonomous, and product-oriented environment.
Access to a modern office in Warsaw with flexible facilities.

Link Group

563 aktywne oferty