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Senior Data Scientist

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Location: Netanya
Job Type: Full Time and Hybrid work
We are looking for a Senior Data Scientist to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. We build and operate large-scale distributed machine learning systems that process 1B predictions per second during real-time auctions.
What will you do?
As a Senior Data Scientist, your mission will be to:
Improve existing algorithms & tools allowing to explore and analyze more and more data and provide accurate feedback on the activities.
Develop new algorithms & new approaches to provide accurate predictions and drive new products by providing business insights.
Implement your algorithms and models end to end.
Collaborate with a variety of teams to develop services from design to production.
Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
Keep up to date with the latest Machine Learning technologies to make sure we always use the best class algorithms according to the context.
Shape how billions of people discover and enjoy premium content by improving ad relevance, quality, and efficiency across our global publisher network.
Requirements:
What will you bring to the team?
Your skills and experiences:
Strong communication skills, working collaboratively with the team, able to teach concepts, and communicate clearly to a wide audience of complicated topics.
Strong problem solving skills, and deducing from specific problems wider range products.
True scientist skills: fast learner, curious, sense of details, rigorous.
Experience in Statistics (i.e. statistical analysis, regression analysis, ) and Artificial Intelligence (i.e. Data Mining, Machine Learning, ).
An appetite for Data Science applied to high-volumetry, low-latency topics.
Ability to read scientific articles, to analyze critically, and to implement as appropriate.
Good programming abilities.
You are very mindful about your application architecture, performance, testing and maintainability and its overall quality.
Requirements:
5+ years of hands-on experience with coding ML based solutions in high scale systems
Relevant industry experience / publications in ad-tech and recommender system
Msc/Phd in computer science / math
Industry experience in building engineering at scale
Large-scale distributed systems, service oriented architecture.
Previous experience with all or some of the elements of our Stack (we mainly use Go, Python, Java, AWS, Jupyter notebooks).
Knowledge in data engineering.
Ability to transform raw data into actionable business insights
Please submit your CV in English.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8715563
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03/06/2026
Location: Ramat Gan
Job Type: Full Time and Hybrid work
Senior Data Scientist
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe.
As a Senior Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.
Responsibilities:
Work with management and partner teams to design and implement solutions in recommender systems for given objectives.
Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly.
Autonomously find solutions to complex problems in social network recommendations and understand the data generation process and challenges with the data.
Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.
Requirements:
Masters degree in Statistics, Mathematics or Computer Science.
Minimum of 4 years of experience in designing, developing and deploying production-level deep learning recommendation models with a proven business impact.
Fluency in Python, Pandas/Dask, SQL, PyTorch or Tensorflow. Ability to write readable and maintainable code.
Strong communication and storytelling skills with both technical and non-technical audiences. Ability to present complex technical subjects to non-technical stakeholders.
Ability to read AI research publications and implement the algorithms & architectures from scratch.
Advantages:
Advanced knowledge in generative models: Auto-encoding, adversarial models, compression.
Worked on deep learning graph model solutions with 10s of TB of data.
Publication in peer-reviewed conferences or journals on reinforcement learning, deep learning, and machine learning.
Strong passion for machine learning and investing independent time towards learning, researching, and experimenting with new innovations in the field.
Experience working with technologies like SageMaker, Athena/Trino, Spark, Milvus, and OpenSearch.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8678731
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
27/05/2026
Location: Jerusalem
Job Type: Full Time and Hybrid work
Were looking for an Applied Data Scientist to help us build and scale the core marketing science products that power our platform. This role sits at the intersection of data science and engineering: owning statistical models end to end, deploying them into production, and turning advanced analytics into reliable, customer‑facing capabilities. Your work will directly influence how thousands of brands measure ROI and allocate millions in marketing spend.
What Youll Do:
Build marketing measurement and optimization products (e.g., attribution models, MMM, incrementality testing, forecasting systems)
Develop and deploy statistical and machine learning models to production
Create scalable data pipelines and APIs that serve real-time analytics
Partner closely with Product, Engineering, and other stakeholders to translate business questions into clear analytical solutions.
Own features end to end from statistical design and validation through deployment, monitoring, and iteration.
Requirements:
What Youll Bring:
4-7 years of experience in applied data science
Ability to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday) is required
Strong Python skills (pandas, scikit-learn, statistical libraries)
Experience deploying models to production (not just notebooks)
Solid statistics and machine learning fundamentals
SQL and database experience
Experience in building APIs or backend services
Bachelor's or Master's in a quantitative field (Statistics, CS, Math, Machine Learning/Data Science)
Strong English communication skills with technical and non-technical audiences
Self-starter comfortable with ambiguity and autonomy
Bonus Points If You Bring:
Marketing analytics background (attribution, experimentation, measurement)
Bayesian statistics or causal inference experience
Cloud platform knowledge (GCP, AWS, or Azure)
Time series analysis and forecasting.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8669050
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