לוח משרות דרושים Senior Data Scientist

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 Teads global publisher network.
What will you bring to the team?
Experience in Statistics (i.e. statistical analysis, regression analysis, ) and/or 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.
True scientist skills: fast learner, curious, sense of details, rigorous.
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.
You are very mindful about your application architecture, performance, testing and maintainability and its overall quality.

We are seeking a Senior Data Scientist to be one of the first data science hires for our newly formed ML team. This is a unique ground-floor opportunity to build our data science capabilities from scratch and have direct influence on our analytical and modeling approaches. This role combines advanced data science expertise with foundational contributions, requiring someone who can develop sophisticated models, conduct deep analytical research, and help establish the data science methodologies that will guide the team as we scale. As one of our founding data scientists, you'll work closely with our Tech Lead to shape our modeling approaches, define our analytical standards, and build the fundamental data science skill set for future hires.
What You'll Do:
Build foundational data science capabilities: As one of our first data science hires, work with the Tech Lead to develop core modeling methodologies, analytical frameworks, and research practices
End-to-end model development: Take ownership of complete ML model lifecycle - from initial research and experimentation through production deployment and monitoring
Build impactful models: Design, develop, and deploy machine learning models that solve complex business problems across payments, risk, and customer analytics
Define analytical standards: Help establish best practices for data exploration, feature engineering, model validation, and statistical analysis
Conduct deep research: Lead exploratory data analysis and research initiatives to uncover insights and identify ML opportunities across the business
Partner with stakeholders: Work closely with business teams to understand requirements, translate problems into data science solutions, and communicate findings effectively
Establish model development practices: Help set up our approach to model experimentation, A/B testing, and performance monitoring
Shape data science culture: Contribute to establishing the team's analytical rigor, documentation standards, and knowledge-sharing practices
Drive innovation: Research and evaluate new ML techniques, algorithms, and approaches that could benefit our business use cases.

Required Senior Data Scientist
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Data Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Senior Data Scientist, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

we are seeking a skilled Data Scientist to join our dynamic team. As a Data Scientist specializing in image analysis and text reading, you will play a pivotal role in developing and enhancing our AI-driven solutions for quick and accurate component inspection in electronic manufacturing.

Responsibilities
Develop and implement advanced algorithms for image analysis and text reading in the context of component inspection.
Collaborate closely with cross-functional teams to enhance existing models and drive continuous improvement.
Work with large-scale datasets, applying statistical and machine learning techniques to extract meaningful insights.
Stay updated with the latest advancements in the field of image analysis and text reading and apply them to enhance our solutions.

Were looking for an Applied Data Scientist to join one of our product squads. Youll design, build, and deploy data-driven solutions that combine machine learning, statistical methods, and SQL/rules-based decision logic to power autonomous supply chain intelligence platform. Youll work closely with data science, engineering, product, and supply chain experts and own solutions end-to-end-from problem definition to production monitoring and iteration.

Responsibilities:

Deliver data science solutions end-to-end within a product squad: problem framing → data prep/labeling → modeling → deployment support → monitoring → iteration
Build, train, and improve ML models for supply chain use cases (e.g., inventory risk prediction, demand anomalies, root-cause analysis)
Define success metrics and evaluation plans with support from senior DS/PM; run error analysis and document learnings
Work with stakeholders to create and maintain ground truth (label definitions, labeling workflows, QA checks, feedback loops)
Implement hybrid decision logic by combining ML outputs with statistical methods and SQL/rules-based logic for robustness and explainability
Analyze large, multi-source operational datasets to identify trends, anomalies, and drivers of performance
Collaborate with software engineers to productionize solutions (batch and/or real-time), including testing, logging, and basic monitoring
Monitor deployed models/rules, investigate performance issues (data quality, drift, edge cases), and iterate based on outcomes
Contribute to team practices: reproducible notebooks/code, documentation, and experiment tracking

We are looking for an experienced and creative data scientist, with a software development touch, to join our Data Science and family. A data scientist that understands and loves data, and lots of it.
What you will do...
Solve Applied Product Challenges: Deep-dive into the product ecosystem to identify and solve high-impact problems. You will translate complex customer needs into scalable ML features that directly improve the user experience.
Lead Exposure Intelligence R&D: Develop features that unify asset data (CAASM) with threat intelligence. This includes building models for entity resolution (deduplicating assets across fragmented sources) and automated risk assessment.
Advanced NLP & Knowledge Extraction: Use NLP and LLMs to parse unstructured security data-such as CVEs, threat intel feeds, and security advisories-to automate the mapping of vulnerabilities to specific business contexts.
Predictive Prioritization: Design and optimize algorithms that go beyond static CVSS scores. You will incorporate exploitability (EPSS), reachability, and business criticality to help clients focus on the 1% of exposures that matter most.
End-to-End Ownership: Work closely with Product Managers and Data analysts and Engineers to ensure your models aren't just accurate in a notebook, but are robust, explainable, and deliver clear value within the product UI.
Graph-Based Attack Surface Mapping: Identify hidden patterns and relationships between assets, users, and vulnerabilities to visualize the potential "blast radius" of a security gap.

Were seeking a strategic and collaborative Data Science Group Leader to lead a combined group of data scientists and developers, which is focused on researching, building, and delivering beta and experimental capabilities that explore whats next in analytics, machine learning, and Generative AI. In this role, you will ensure alignment with our organization's vision and product direction.
As a manager, you will cultivate a culture of innovation and accountability, fostering a team that serves as both a creative proving ground for ideas and a reliable pipeline for transitioning validated capabilities into our core products.
You will lead two disciplines through team leaders and senior contributors:
Data Scientists, focused on advanced analytics, ML, and GenAI
Full-Stack Software Engineers responsible for rapidly turning ideas and models into usable, customer-facing lab applications
This role sits at the intersection of AI leadership, hands-on technical guidance, and product innovation, and is designed for a leader who can bridge research and engineering disciplines rather than replace strong specialists.

As a Data Scientist , you will be a part of a large and innovative data science group, working closely with Dev teams and product managers, to create business value through Data Science and Machine Learning methods using cutting edge technology, on large and diverse datasets.

The Role consists of understanding customers' needs and product requirements, exploring data, identifying and defining functionality from conception to delivery, creating and improving algorithms and ML pipelines, building measurement tools, providing data visualizations, and more.

Deliver end-to-end ML products - including data processing, problem analysis, research, model development, validation and metrics, implemented in production and with online testing.

We are seeking a talented and motivated Senior Data Scientist to join our AI team. In this role, you will lead the development of our best-in-class conversational heart health agent. You will work on highly complicated challenges, spanning from deep research to full-scale production. Your work will leverage cutting-edge Generative AI and agentic architectures to help solving one of the world's most significant and urging clinical issues: cardiovascular disease. Your contribution will directly impact healthcare practices and enhance the well-being of individuals globally.
Responsibilities
You will take ownership of designing and building a conversational heart health agent, utilizing advanced LLM techniques, RAG (Retrieval-Augmented Generation), and flow engineering.
You will architect and implement complex agentic and multi-agentic graphs using tools like LangChain and LangGraph to handle intricate clinical logic and user interactions.
You will not just research; you will write production-grade code. You will be responsible for optimizing, deploying, and maintaining these systems in a live environment.
You will implement robust monitoring and debugging workflows for agentic products (using tools like LangFuse or LangSmith) to ensure safety, accuracy, and performance.
You will work closely with product managers and clinical experts to translate clinical research into digital insights and conversational flows that will be used on a daily basis.
You will innovate and make new ideas happen fast, in an agile way, keeping up with the rapidly evolving landscape of GenAI.

Were looking for a Senior Data Scientist to join our R&D department!
Why is this role so important ?
we are a data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data scientist, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights.

We're in search of an exceptional hands-on Data Scientist who can bridge data infrastructure, fraud analytics, and machine learning to enhance our fraud detection capabilities. This role requires someone who can drive projects from ideation to implementation, leading these efforts while thinking strategically about how we detect and prevent fraud at scale. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud.
Your Arena
Develop and enhance fraud detection models from concept to production, focusing on data normalization, network analysis, and risk scoring.
Take ownership to identify, analyze, and implement solutions for fraud patterns and behavioral anomalies.
Design, build and maintain data science pipelines and fraud intelligence systems to improve detection accuracy.
Collaborate with product, engineering, and risk teams to implement fraud prevention strategies.
Own projects end-to-end - balancing short-term wins with long-term strategy.

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.