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
Design and deploy advanced scoring engines for Leads and Opportunities
Lead the development of Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) to quantify marketing ROI and guide budget allocation
Develop algorithmic strategies for Value-Based Bidding (VBB) and customer acquisition
Own the 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 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
Lead the development of Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) to quantify marketing ROI and guide budget allocation
Develop algorithmic strategies for Value-Based Bidding (VBB) and customer acquisition
Own the 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 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 is 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
PhD is 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
Nice-to-have
Expert-level SQL, performance tuning, and data modeling with 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 in Budapest, Hungary
Travel to Stockholm, London, Zurich etc.
Role involves 5-days in the office when in Budapest
On-site in Budapest, Hungary
Travel to Stockholm, London, Zurich etc.
Role involves 5-days in the office when in Budapest
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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