Data Science Lead Dodaj do ulubionych

You will play a vital role in shaping the consumer re-engagement strategy by applying machine learning, segmentation, and predictive analytics to real-world challenges.

This is a strategic and hands-on role — ideal for a technically strong leader who also enjoys working closely with business stakeholders to drive impactful, data-informed decisions.

Data Science Lead

Nr ref.: 375/6/2025/AS/263262/jobs.pl Warszawa (mazowieckie)

• Full-time employment contract
• Fully remote work arrangement
• A comprehensive benefits package, including private medical care, sports card, and learning budget
• A chance to make a real business impact through advanced analytics in a global organization
• Close collaboration with international teams and stakeholders across time zones

• Build, mentor, and lead a high-performing data science team, focusing on both individual development and collective success.
• Define and execute the data science roadmap aligned with business goals.
• Oversee full project lifecycle: from defining business problems to developing and deploying scalable machine learning models.
• Partner with cross-functional teams (e.g., product, engineering, business units) to translate business needs into data science initiatives.
• Conduct user segmentation, behavior analysis (e.g., open/click/subscribe rates), discount modeling, and consumer lifecycle analytics.
• Balance technical hands-on work with strategic leadership (approx. 50/50 split).
• Maintain high standards of model quality, performance, and interpretability.
• Stay current with emerging technologies in ML/AI and identify innovative opportunities.
• Promote a data-first mindset and encourage best practices in experimentation, model validation, and analytics infrastructure.

• 5+ years of experience in data science, including 2+ years in a team leadership or management role.
• Strong background in Python or R, statistical modeling, and machine learning (supervised, unsupervised, reinforcement learning).
• Solid experience with A/B testing, experimental design, and causal inference techniques.
• Proficient in SQL, cloud-based environments (ideally GCP), and distributed computing frameworks such as Spark.
• Strong communication skills with the ability to explain complex concepts to both technical and non-technical audiences.
• Experience in consumer segmentation, predictive analytics, and behavioral modeling.
• Familiarity with modern tools and frameworks: GitHub, APIs, GraphQL, Kubernetes.
• Industry experience in retail, e-commerce, or consumer goods is a plus.

Employment agency entry number 47

this job offer is intended for people over 18 years of age