Dein persönlicher KI-Karriere-Agent
Data Scientist(m/w/x)
Designing real-time recommendation, ranking, and pricing ML models for user engagement in gaming. Strong ML deployment and data engineering experience required. Hybrid work, 4-day work week.
Anforderungen
- Strong experience building and deploying ML models in product-driven environment
- Experience ideally in Gaming, AdTech, gambling or user-incentive systems
- Robust experience of data engineering workflows
- Experience with modern data stack tools
- Proficiency in Python
- Proficiency in SQL
- Experience with cloud platforms (GCP preferred)
- Excellent communication skills
- Excellent leadership skills
- Ability to drive clarity
- Ability to create structure
- Ability to bring stakeholders on board
Aufgaben
- Design ML models for real-time recSys, ranking, and pricing algorithms
- Optimize for engagement and conversion within the gaming ecosystem
- Build reward structures and user-incentive systems
- Balance user motivation with sustainable ROAS through uplift modeling
- Optimize pricing
- Lead complex experimentation iterations in data-driven verticals
- Lead product or user acquisition experiments
- Estimate causal impact
- Develop measurement strategies like MMM and Multi-Touch Attribution
- Develop zero-to-one data products in unexplored domains
- Create initial data structures for data products
- Deploy production-ready data products
- Partner with engineering to refine the stack and system architecture
- Establish 'gold standard' documentation
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- DBT
- Airflow
- K8s
- Terraform
- Python
- SQL
- GCP
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Data Scientist(m/w/x)
Designing real-time recommendation, ranking, and pricing ML models for user engagement in gaming. Strong ML deployment and data engineering experience required. Hybrid work, 4-day work week.
Anforderungen
- Strong experience building and deploying ML models in product-driven environment
- Experience ideally in Gaming, AdTech, gambling or user-incentive systems
- Robust experience of data engineering workflows
- Experience with modern data stack tools
- Proficiency in Python
- Proficiency in SQL
- Experience with cloud platforms (GCP preferred)
- Excellent communication skills
- Excellent leadership skills
- Ability to drive clarity
- Ability to create structure
- Ability to bring stakeholders on board
Aufgaben
- Design ML models for real-time recSys, ranking, and pricing algorithms
- Optimize for engagement and conversion within the gaming ecosystem
- Build reward structures and user-incentive systems
- Balance user motivation with sustainable ROAS through uplift modeling
- Optimize pricing
- Lead complex experimentation iterations in data-driven verticals
- Lead product or user acquisition experiments
- Estimate causal impact
- Develop measurement strategies like MMM and Multi-Touch Attribution
- Develop zero-to-one data products in unexplored domains
- Create initial data structures for data products
- Deploy production-ready data products
- Partner with engineering to refine the stack and system architecture
- Establish 'gold standard' documentation
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- DBT
- Airflow
- K8s
- Terraform
- Python
- SQL
- GCP
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Almedia
Branche
Marketing
Beschreibung
The company is building the future of marketing by rewarding a community of over 50 million users for engaging with advertisers' products.
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