Data Science Manager

We are supporting a global client in the retail and consumer goods sector in their search for an experienced Data Science Manager . 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.

what we offer

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

your tasks

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.

what we expect

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