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Full-time
bachelor degree, postgraduate degree
Posted 27d ago
~40 hrs/week
Responsibilities
The Staff Data Scientist will lead the development of algorithms for automated decision-making, including causality and multi-touch attribution. They will also analyze core marketing metrics to identify causal relationships and translate complex data into actionable business recommendations.
Requirements
Candidates must have at least 3 years of experience in a commercial data science environment with strong statistical and engineering skills. Proficiency in Python and experience with big data tools like Spark and Kubernetes are required.
Full job description
Role Description:
As a Staff Data Scientist your role will be to:
Use analytical, statistical and technical skills to understand large, complex datasets with the aim to eliminate waste and measure incrementality for advertisers.
Lead, Develop & improve algorithms for automated decision making around lifetime value, causality, multi-touch attribution, and media mix optimization
Determine, analyze, maintain, and report on core marketing metrics to identify causal relationships between marketing actions and outcomes.
Translate data into actions and recommendations – appropriately interpreting and building on findings, and fully exploiting insights
You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most. We believe in helping each other get most of ourselves rather than do what we’re not interested in doing.
Key Requirements:
Min. 3 years of work experience in a commercial data science environment that requires the combined application of statistical & engineering skills
Strong statistical and research skills with a track record of using a variety of math and statistical methods (especially Causal Inference, Prediction models, Bayesian Method)
Excellent development skills (Python required, R or Scala a plus)
Experience in working on big data with distributed computing (Spark, Airflow, Kubernetes)
Familiarity with digital marketing, advertising or analytics is a plus
Extensive experience in the Time Series domain, working with small and large time series frames
Theoretical background knowledge like from a relevant BSc, MSc or PHD is a big advantage (e.g. in Mathematics, Computer Science, Statistics, Physics)
INCRMNTAL’s mission is to evolve marketing measurement.
INCRMNTAL is an AI incrementality measurement platform allowing advertisers to measure the true incremental value of any activity impacting their marketing KPIs.
Utilizing causality and AI, the platform does not rely on user-level data for measurement.
The platform is built for marketers across any industry who run campaigns both online and offline. The aim is to measure the true effectiveness of their advertising budgets.
The platform is privacy-centric, meaning that it uses no user-level data to run measurements. While at the same time it runs continuously, meaning no need to pause campaigns or run any experiments.
Founded in 2020 by industry veterans Maor Sadra and Moti Tal, INCRMNTAL serves customers such as: Hopper, eToro, Binance, Autoscout24, Huuuge Games, SEGA, and others
Learn more at incrmntal.com
How many Data & Analytics jobs are open in Ramat Gan, Israel right now?
There are currently 98 open data & analytics positions in Ramat Gan, Israel listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Ramat Gan, Israel?
Companies currently hiring include Alice (Formerly ActiveFence), Snowbit by Coralogix, INCRMNTAL, Mobileye, Google, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Ramat Gan, Israel?
Yes — 34 of the 98 open data & analytics positions offer remote or hybrid work (1 remote, 33 hybrid).
How do I apply for Data & Analytics jobs in Ramat Gan, Israel?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.