Állás részletei
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Cég neve
EF Information Services Kft.
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Munkavégzés helye
Budapest -
Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
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Elvárt technológiák
- CLOUD PYTHON AWS SQL CRM TESTING
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Elvárások
- Nem kell nyelvtudás
- 5-10 év tapasztalat
- Egyetem
Kis türelmet...
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Lead end-to-end data and ML products across a global organization
Build sophisticated commercial data products integrating with Salesforce, Snowflake, and AWS-native services
Design and deploy advanced scoring engines for Leads and Opportunities
Lead development of Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA)
Develop algorithmic strategies for Value-Based Bidding (VBB) and customer acquisition
Own full lifecycle from data ingestion to deployment, building scalable ELT/ETL pipelines in Snowflake and AWS
Work with Salesforce Data Cloud and Agentforce to operationalize models
Implement robust MLOps practices (CI/CD, drift monitoring, automated retraining)
Apply advanced statistical techniques including Bayesian inference, causal inference, time-series forecasting, and experimental design
Partner with commercial leadership to translate business objectives into technical roadmaps
Mentor junior team members and define coding standards and best practices
Build sophisticated commercial data products integrating with Salesforce, Snowflake, and AWS-native services
Design and deploy advanced scoring engines for Leads and Opportunities
Lead development of Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA)
Develop algorithmic strategies for Value-Based Bidding (VBB) and customer acquisition
Own full lifecycle from data ingestion to deployment, building scalable ELT/ETL pipelines in Snowflake and AWS
Work with Salesforce Data Cloud and Agentforce to operationalize models
Implement robust MLOps practices (CI/CD, drift monitoring, automated retraining)
Apply advanced statistical techniques including Bayesian inference, causal inference, time-series forecasting, and experimental design
Partner with commercial leadership to translate business objectives into technical roadmaps
Mentor junior team members and define coding standards and best practices
Requirements
Master’s degree in a quantitative field (e.g., Statistics, Computer Science, Econometrics, Mathematics, Physics)
PhD considered a distinct advantage
5+ years of hands-on data science experience in large Global or European-scale companies as a Senior Data Scientist
Specific focus on Revenue, Sales, or Marketing operations
Proven track record of building models for commercial use cases such as Lead Scoring, Ranking/Prioritization, Attribution (MTA), or Econometrics (MMM)
Excellent ability to frame technical complexity in business terms and influence senior stakeholders
Expert-level SQL, performance tuning, and data modeling in Snowflake
Proficiency in Python ML libraries (scikit-learn, XGBoost, PyMC, etc.) and production engineering
Experience building data pipelines using AWS-native services
Strong familiarity with CRM data structures and integrating ML outputs into Salesforce
Deep understanding of probability, hypothesis testing, and regression
PhD considered a distinct advantage
5+ years of hands-on data science experience in large Global or European-scale companies as a Senior Data Scientist
Specific focus on Revenue, Sales, or Marketing operations
Proven track record of building models for commercial use cases such as Lead Scoring, Ranking/Prioritization, Attribution (MTA), or Econometrics (MMM)
Excellent ability to frame technical complexity in business terms and influence senior stakeholders
Expert-level SQL, performance tuning, and data modeling in Snowflake
Proficiency in Python ML libraries (scikit-learn, XGBoost, PyMC, etc.) and production engineering
Experience building data pipelines using AWS-native services
Strong familiarity with CRM data structures and integrating ML outputs into Salesforce
Deep understanding of probability, hypothesis testing, and regression
What we offer
Full-time, on-site role in Budapest, Hungary
Opportunity to travel to Stockholm, London, Zurich, etc.
Opportunity to travel to Stockholm, London, Zurich, etc.
Workplace extras
- Canteen
- Corporate events
- Free coffee, soft drinks
Company info
EF Education First is a global education company that specializes in language training, educational travel, academic degree programs, and cultural exchange. Founded in 1965, EF operates in over 100 countries and is dedicated to breaking down barriers of language, culture, and geography to create a more connected and open world.
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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