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Data Scientist

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04/02/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Responsibilities:
Design, implement, and improve ML and AI models to drive business outcomes across multiple domains, such as recommendation systems, image recognition, ChatBot, etc.
Own the end-to-end ML lifecycle: data preprocessing, feature engineering, model training, validation, and deployment.
Expert level in designing evaluation pipelines to prove performance, scalability, and consistency
Leverage generative AI and LLMs to enhance existing workflows and explore new product opportunities.
Collaborate with Product, Engineering, and Analytics teams to align modeling efforts with business needs.
Clearly communicate complex findings and model insights to stakeholders.
Requirements:
Requirements
BSc or higher in Computer Science, Mathematics, Statistics, or related fields.
4+ years of hands-on experience as a Data Scientist, ideally within mobile, gaming, or social network industries.
Proven experience with AI/ML frameworks and toolkits (Scikit-learn, TensorFlow, PyTorch, LangChain, etc.).
Familiarity with MLOps best practices, model versioning, experiment tracking, and continuous deployment.
Strong knowledge of machine learning techniques: Classification, regression, segmentation, reranking, model interpretability.
Solid background in data analysis and statistics; ability to design experiments and interpret results.
Experience working in cloud environments, especially Google Cloud Platform (GCP) - BigQuery, GCS, Vertex AI (a plus).
Comfortable working in fast-paced, production-critical environments with a sense of ownership and accountability.

Advantages:
Experience developing recommendation engines, especially with deep learning and reranking techniques.
Experience with LLM-based applications, prompt engineering, Agents development, etc.
This position is open to all candidates.
 
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Location: Petah Tikva
Job Type: Full Time
We're looking for a seasoned Senior Data Scientist to be a hands-on technical powerhouse and strategic driver on our team. You wont just build models; you will personally architect and implement the next generation of our decision engines, owning our most complex modeling challenges from whiteboard to production.

As a senior, hands-on member of the team, you will be a go-to expert. While you'll guide and mentor other data scientists, your primary focus will be on leading by example: executing on high-impact projects that define our competitive edge and directly influence our revenue. You'll contribute to the roadmap, not just follow it.


What Youll Do

Architect & Build: Lead the architectural design and hands-on implementation of our most critical ML models, tackling complex challenges in auction dynamics, user valuation, and more at a massive scale.

Influence Strategy: Contribute to and influence the data science roadmap in collaboration with Product and Engineering, ensuring our efforts are focused on maximum business impact.

Outsmart the Competition: Lead the charge in our high-stakes auction environment where your models edge creates outsized financial returns. You will design and own the experimentation framework to prove your impact.

Elevate Our Technical Bar: Set best practices for modeling and coding, and mentor other data scientists through complex technical challenges, code reviews, and model design sessions.
Requirements:
You have a 4+ year track record of personally driving end-to-end data science projects that delivered significant, measurable business value.

An MSc or PhD in a quantitative field (e.g., Computer Science, Data Science, Mathematics) is a firm requirement for this role.

You have demonstrated experience mentoring data scientists and guiding projects from a technical standpoint, leading by example.

You are a strong communicator and leader, capable of influencing the team's technical direction and clearly articulating complex results to business stakeholders.

You have a deep, intuitive understanding of the Ad-Tech ecosystem, with a strong perspective on auction dynamics and how to exploit market inefficiencies.

You possess expert-level knowledge of machine learning, statistics, and experimental design, paired with expert coding skills in Python and SQL.

You have a "nose for value" and the self-motivation to consistently connect your technical work to commercial outcomes.

Expertise with Spark or other Big Data technologies is essential for success at our scale.
This position is open to all candidates.
 
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דיווח על תוכן לא הולם או מפלה
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
02/02/2026
Location: Petah Tikva
Job Type: Full Time
We are looking for a talented Data Scientist who is a strong team player to join our Data Science team. As a Data Scientist, you will play a key role in shaping our analytics pipeline. Dive into diverse datasets, using ML algorithms, and lead end-to-end projects - starting from gathering requirements, through development, to deployment and presentation to stakeholders. Your Python expertise, along with data-driven thinking, will contribute to predictive insights and innovative solutions.
Key Responsibilities
Own end-to-end development cycle- from business understanding to development, deployment and monitoring
Develop, maintain and improve advanced AI/ML models with a wide range of tasks and diverse datasets (structured, text, images)
Interpret data using statistical techniques and leverage machine learning algorithms to drive actionable insights.
Collaborate with cross-functional teams, including engineers and product managers, to understand business challenges and design data-driven solutions.
Requirements:
M.Sc. academic degree in Computer Science, Engineering, Mathematics, Statistics, or relevant field
3+ years of proven Data Scientist experience
Strong coding capabilities in Python and SQL
Strong experience in ML algorithms and libraries such as scikit-learn, TensorFlow or PyTorch, LLM and common quality measurements
Motivated and eager to tackle challenges with a can-do attitude
All-around team player who is a self-motivated, fast learner
Fluent in English, both written and verbal
Advantages: Experience with ML models in production, familiarity with Spark, Databricks and LLM.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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