לוח משרות דרושים Data Scientist במרכז

We are looking for aData Scientist to design and implement the decision-making logic of our Price Optimizer. You will focus on translating complex business rules into mathematical models and production-ready Python code, supported by a dedicated Data Engineering team that handles the underlying infrastructure.
Your primary mission is to build the "brain" of our system. You will work at the intersection of Data Science and Product, ensuring our simulation and optimization engines accurately reflect real-world pricing strategies and market dynamics. While you will write production code, you will rely on our Data Engineers for ETL pipelines orchestration and distributed compute scaling.
Responsibilities:
Implement Business Logic: Translate intricate pricing rules and commercial strategies into robust Python code and mathematical constraints.
Refine Optimization Models: Develop and tune the simulation and revenue management algorithms that drive our pricing recommendations.
Write Clean Code: Contribute high-quality, tested, and maintainable code to the core logic repositories.
Analyze & Improve: Use data to validate model behavior and identify edge cases where business rules clash with algorithmic outputs.
Collaborate: Partner with Solution Architects to define logic requirements and with Data Engineers to integrate your models into the Dagster pipelines.

We are looking for an experienced Product Manager to lead Diagnosis Insights domain - responsible for the intelligence layer that powers our clinical suggestions and diagnosis capture experience across patient populations.
This role sits at the intersection of clinical reasoning, data, and AI. You will define, refine, and scale the logic behind diagnosis insights - owning the end-to-end experience from medical modeling through how suggestions are surfaced to clinicians and others. Your mission is to drive superior accuracy, broad coverage, and measurable impact across patient types and care models.
This position is ideal for a PM who combines strong analytical and technical depth with clinical intuition, and who is excited to build AI-powered products that influence real-world clinical decisions at scale.
Responsibilities:
Define and drive the product roadmap for Diagnosis Insights domain. Own the long-term vision for diagnosis suggestion ecosystem - from medical logic and model strategy to how insights are presented, prioritized, and acted upon by clinicians.
Own and define KPIs, including model coverage and precision, alongside end-user adoption metrics (e.g., physician address rate).
Lead core product interfaces: Own the insights experience on both the physician and administrative teams' interfaces.
Work closely with Engineering, Data Scientists, Medical Experts while actively engaging with clients and end users to deeply understand their desired outcomes, and validate new ways to improve our suggestion algorithm.
Translate customer and business requirements into PRDs, technical specifications, and logical flows for the Engine and Core teams.
Explain complex medical logic in simple, non-technical language to internal stakeholders (Support, CSM, Implementation teams) and support generate internal product documentation.
Use SQL and analytical skills to interrogate data, evaluate logic performance, and validate improvements.
Own and manage the product backlog, prioritizing requests based on customer impact, business goals, and urgency.

We are looking for a visionary and technically versatile Data Science Manager to join the Data Science & MLE group within our DS & Analytics organization.
In this pivotal role, you will lead a hybrid team of Data Scientists and Machine Learning Engineers, acting as the bridge between cutting-edge technical innovation and high-level business strategy. You won't just be managing a team; you will be the Technical Lead defining how we solve complex problems-from predicting player behavior to optimizing marketing budgets using the latest in Generative AI.
You will partner closely with Game Directors, Product Managers, and our central analytics teams to drive value across Zynga's diverse portfolio. If you are a leader who is "bilingual" in data-possessing deep Data Science expertise to guide methodology while bringing high MLE and Engineering skills to build scalable, production-ready systems-we want to hear from you.
Key Responsibilities:
Team Leadership & Mentorship: Recruit, retain, and develop top-tier talent within the Data Science & MLE team. Foster an inclusive culture of innovation where technical rigor meets creative problem-solving.

Technical Direction & Engineering Standards: Act as the hands-on Technical Lead for the domain. You will supervise the end-to-end development lifecycle-from research to production-enforcing high standards and MLOps to ensure our models are scalable and maintainable.
Strategic DS & Analytics Support: Drive the development of advanced analytical frameworks to solve core business challenges. You will guide the team in applying rigorous statistical and machine learning methods to areas such as Time Series Forecasting, Causal Inference, Marketing Optimization, Root Cause Analysis, and more.
Strategy & Collaboration: Partner with Game Directors, BI Platform PMs, and embedded analytics teams to define the data strategy and roadmap. You will ensure that our technical initiatives are directly aligned with company-wide goals and solving the right problems.
Global Alignment: Maintain a tight collaborative network with Data Science & Analytics managers in North America, ensuring global consistency in methodologies, knowledge sharing, and joint development.

As a Research Engineer , you will design, develop, and implement algorithms and models that will enhance the products capabilities, performance, reliability, and scalability. Together with our algo and engineering team members, you will work closely with our product team members to implement algorithms that can be used to drive our business forward as well as the frontier of software development AI technologies.

Responsibilities:

Design, develop, implement and test algorithms and AI-empowered solutions for various product features and applications
Collaborate with cross-functional teams to understand business needs and translate them into algorithmic solutions
Perform research on emerging trends, algorithms, and cutting-edge technologies, and identify ways to incorporate them into our products pragmatically
Propose new and innovative solutions to complex problems and lead the development of algorithms in those areas
Design, cleanse, and utilize benchmarks throughout the process of the algorithm development

We are looking for a Data & AI Project Manager to lead the delivery of AI and Generative AI-based solutions for our clients. In this role, you will own projects end-to-end - from initial scoping and requirements definition through development, deployment, and continuous improvement.
This role is well-suited for a technically oriented project or product manager who enjoys working at the intersection of data, AI, engineering, and business, and who thrives in fast-paced, complex environments.
Responsibilities:
Lead the full lifecycle of AI and data projects, from ideation and design through implementation, deployment, and ongoing optimization.
Translate business and user needs into clear system requirements, technical specifications, and structured delivery plans.
Define project scope, priorities, milestones, and deliverables, ensuring execution on time, within scope, and within budget.
Collaborate closely with development, data, and infrastructure teams to support efficient delivery and resolve technical dependencies.
Drive alignment between technical solutions and business objectives, ensuring delivered solutions generate tangible client value.
Manage multiple stakeholders on both client and internal sides, maintaining clear communication and expectations.
Support the design of intuitive, user-centered AI solutions and workflows.
Identify risks, manage trade-offs, and proactively address challenges throughout the project lifecycle.

We are seeking an experienced and visionary Data Scientist to join our dynamic technology organization. The successful candidate will be a part of a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, and a passion for continuous learning and development.
Responsibilities:
Gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) are used to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs), to create innovative solutions for our products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization. Design, implement, and optimize classic machine learning models to solve complex business problems.

about the job
the growth and notifications (gant) data science team's mission is to deliver the best of google's products to our users by enabling high-quality notifications and driving growth across the ecosystem. we are a team of data scientists and analysts who work to embed a deep empirical understanding of user behavior into the product development lifecycle. this enables our product partners to take smarter risks and build more engaging, high-quality experiences that drive sustainable growth.we are part of the broader ecosystem growth (eg) data science team within google identity and engagement (gie). our work is pivotal in increasing the number of users who experience the full value of google.this is an exciting opportunity to join a team that is at the forefront of driving user engagement and ecosystem growth at google.
responsibilities
lead large-scale data analysis and novel modeling approaches to create a deep understanding of user behavior with notifications and proactive agentic experiences.
partner with product, engineering, and UX research to define and develop novel evaluation metrics, validation methodologies, and experimentation frameworks for proactive quality models and ai-driven notification agents.
provide analytical thought leadership and advanced statistical expertise on user journeys, engagement models, and long-term causal effects across the gie and google ecosystem.
translate complex findings into actionable product recommendations, effectively presenting to cross-functional stakeholders at all levels to influence the product roadmap.
define, implement, and own key metrics to measure the quality, impact, and value of notifications and user-state models.

We are looking for a highly technical and innovative, hands-on Data Scientist to join our Threat Research group.

Our Threat Research group is composed of elite researchers and developers. We research applications, DDoS, and database attacks, develop algorithms for new products, and drive innovation and thought leadership in cybersecurity.

Key Responsibilities:

Lead and contribute to the development, evaluation, and deployment of machine learning, deep learning, and large language models (LLMs) for cybersecurity applications.

Drive and support data-driven research projects, from ideation and prototyping to production deployment, using both classic ML and advanced deep learning techniques.

Perform comprehensive data collection, preprocessing, analysis, and feature engineering on large-scale security datasets.

Develop and optimize innovative security solutions for integration into Imperva products.

Collaborate closely with data scientists, security researchers, engineers, and product teams to deliver impactful solutions.

Actively participate in knowledge sharing, code reviews, and continuous team learning.

a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere.
job description:
as a data Scientist, youll join a team shaping the future of identity security and pioneering research in areas of cybersecurity and agentic ai.
advance your data science career by applying your established expertise to solve complex, real-world problems at scale and drive innovation alongside leaders in the cybersecurity and ai space.
research, design, evaluate and production deployment of advanced ai/ml models, specializing in llms, rag systems, and agentic ai applications.
explore and analyze large-scale datasets to uncover patterns and drive actionable insights.
collaborate closely with product managers, engineers, and analysts to support feature development and validate ml ideas.
stay up to date with the latest academic and industry trends in ai/ml and apply best practices to real-world challenges.
grow your skills in classic Machine Learning, deep learning, Natural Language Processing ( NLP ), llms and cybersecurity applications.

Required Data Scientist
About the Role
The Data Science department plays a pivotal role in our company, generating value to us by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities.

Were looking for a Data Scientist to join our R&D department!
Why is this role so important at our company?
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 in our company, 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.
So, what will you be doing all day?
Your daily responsibilities may include:
Working on versatile use cases within a dynamic, fast paced production environment
Strategic thinking and problem solving, with a strong business sense
Analyzing data from various sources, and turning it into usable input
Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to deployment in production)
Collaborating with data engineers to make sure we reach the desired production results
Owning the ongoing validation process for existing metrics
Collaborating and brainstorming best practices with other teams within the R&D department
Deploying machine-learning models into production for an ongoing use.

Were looking for a Data Scientist to join our R&D department!
Why is this role so important at our company?
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 in our company, 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.
So, what will you be doing all day?
Your daily responsibilities may include:
Working on versatile use cases within a dynamic, fast paced production environment
Strategic thinking and problem solving, with a strong business sense
Analyzing data from various sources, and turning it into usable input
Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to deployment in production)
Collaborating with data engineers to make sure we reach the desired production results
Owning the ongoing validation process for existing metrics
Collaborating and brainstorming best practices with other teams within the R&D department
Deploying machine-learning models into production for an ongoing use

We are seeking a Research Scientist to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in Code Generation and LLMs reasoning with specific focus on reinforcement learning, synthetic data generation and advanced scaffolding/agentic techniques. You will have the opportunity to work with a broad and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.
AI Research Scientist Responsibilities
Lead, collaborate, and execute on research that pushes forward the state of the art in agentic code generation
Work towards long-term ambitious research goals, while identifying intermediate milestones
Directly contribute to experiments, including designing experimental details, implement reusable code, running evaluations, and organizing results
Contribute to publications and open-sourcing efforts
Mentor other team members. Play a significant role in healthy cross-functional collaboration,