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 including 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
Explain complex model behaviors to non-technical audiences
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 including 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
Explain complex model behaviors to non-technical audiences
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
Travel opportunities to Stockholm, London, Zurich, etc.
Travel opportunities to Stockholm, London, Zurich, etc.
Workplace extras
- Canteen
- Corporate events
- Free coffee, soft drinks
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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