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We are supporting a global client in the retail and consumer goods sector in their search for an experienced Data Science Lead. In this role, you will lead a skilled team of data scientists, helping to build and deploy advanced analytical models that support key areas of the business such as marketing, merchandising, supply chain, and e-commerce. 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/praktykipl Warszawa (mazowieckie)What we offer
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Full-time employment contract
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Fully remote work arrangement
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A comprehensive benefits package, including private medical care, sports card, and learning budget
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A chance to make a real business impact through advanced analytics in a global organization
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Close collaboration with international teams and stakeholders across time zones
Your tasks
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Build, mentor, and lead a high-performing data science team, focusing on both individual development and collective success.
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Define and execute the data science roadmap aligned with business goals.
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Oversee full project lifecycle: from defining business problems to developing and deploying scalable machine learning models.
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Partner with cross-functional teams (e.g., product, engineering, business units) to translate business needs into data science initiatives.
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Conduct user segmentation, behavior analysis (e.g., open/click/subscribe rates), discount modeling, and consumer lifecycle analytics.
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Balance technical hands-on work with strategic leadership (approx. 50/50 split).
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Maintain high standards of model quality, performance, and interpretability.
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Stay current with emerging technologies in ML/AI and identify innovative opportunities.
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Promote a data-first mindset and encourage best practices in experimentation, model validation, and analytics infrastructure.
What we expect
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5+ years of experience in data science, including 2+ years in a team leadership or management role.
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Strong background in Python or R, statistical modeling, and machine learning (supervised, unsupervised, reinforcement learning).
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Solid experience with A/B testing, experimental design, and causal inference techniques.
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Proficient in SQL, cloud-based environments (ideally GCP), and distributed computing frameworks such as Spark.
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Strong communication skills with the ability to explain complex concepts to both technical and non-technical audiences.
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Experience in consumer segmentation, predictive analytics, and behavioral modeling.
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Familiarity with modern tools and frameworks: GitHub, APIs, GraphQL, Kubernetes.
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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
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