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Salary
≈ $81k – $143k per year (Estimated)
Location
Hybrid (Frankfurt am Main, Germany)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Aug 20, 2025. INNOCEAN scores B on the Alion truth index.

Overview
Company
Impact
Profile match
INNOCEAN is a South Korean advertising and brand experience company that creates brand experiences based on technology and data. It works on brand space design, exhibitions, web and app services and data analysis consulting, and it hires space planners, business development leads, UI and UX designers and data analysts. The company is based in South Korea.

We are INNOCEAN Europe. A marketing and communications network that combines pan European collaboration with local expertise and execution. Founded as an in-house agency for the up-and-coming brands Hyundai and Kia, we continue to be inspired by the words of Chung Ju-Yung: Have you tried? With this in mind, we help brands and people unleash their potential and live up to their role as challengers.

For our team in Frankfurt, we are looking for you in the role of

Data Scientist (all genders)

Location: Frankfurt am Main

What You’ll Do:

Strategic Analytics & Modeling

  • Lead the design and implementation of advanced predictive models (e.g., churn, conversion, CLTV, next-best-action) to support CRM decision-making.
  • Define and operationalize customer segmentation frameworks using behavioral, transactional, and lifecycle data.
  • Drive experimentation strategy: design and evaluate A/B tests, holdouts, and lift models to continuously improve campaign effectiveness.
  • Serve as a thought partner to CRM strategists and campaign managers, translating data science into impactful business action.
  • Ensure model interpretability and translate data outcomes into clear, actionable business recommendations.
  • Document all modeling and testing efforts and contribute to best practice frameworks for data science.

Data Infrastructure & Warehouse Development

  • Own the development a data warehouse and ETL processes, ensuring high data quality, scalability, and accessibility.
  • Collaborate with platform leads, and IT teams to structure campaign and customer data into a unified architecture.
  • Define data standards and governance best practices in collaboration with data governance leads.

What You Bring

  • 5+ years’ experience in data science, ideally within CRM, eCommerce, or marketing analytics
  • Fluent English skills
  • Proficiency in Python or R (for modeling and data science)
  • Proven track record of developing and deploying predictive models in a marketing context.
  • Strong SQL skills and hands-on experience building ETL workflows and working with cloud data platforms (e.g., BigQuery, Redshift, Snowflake).
  • Proficient in Python or R, with experience in working with notebooks and version control
  • Solid understanding of customer lifecycle metrics, campaign KPIs, and CRM experimentation frameworks.
  • Familiarity with tools like Adobe Campaign, Salesforce Marketing Cloud, or Braze is a strong plus.
  • Ability to influence strategic decisions through data and communicate clearly to both technical and non-technical audiences.

What We Offer:

  • An international and inclusive working environment with colleagues from different countries and professional backgrounds.
  • Meal Vouchers: Enjoy subsidized lunches with our meal voucher program.
  • Hybrid Work Flexibility: Work from home on Mondays and Fridays and up to 10 days’ remote work abroad opportunity every year
  • Pet-Friendly Office: Bring your furry companions to work - we’re happy to have them!
  • Modern Workspace: Ergonomic setups and top-tier infrastructure to help you do your best work.
  • Wellness & Perks: Access to the corporate benefits platform with exclusive offers to support the physical and mental health of our employees

We provide a work environment where you can grow and make an impact. If you want to be part of a very international team with a collaborative spirit, click on Apply Online.

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