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we are looking for a Senior Data Scientist.
As a Senior Data Scientist, you will be an integral part of our Machine Learning and AI team. The role is hands-on and impact-driven, focusing on building, improving, and delivering machine learning models that directly support business goals.
Responsibilities:
Design and deploy production ML systems that drive automated business decisions (pricing, bidding, resource allocation)
Build end-to-end ML pipelines - from data ingestion and model training to serving, monitoring, and incident response
Translate ambiguous business problems into rigorous mathematical frameworks and own them from conception to production impact
Conduct rigorous experimentation (A/B testing, causal inference, uplift modeling) to measure and improve model performance
Maintain and improve real-time models that adapt to incoming data and feedback signals
Mentor junior team members on ML best practices and production standards

Required Manager, Data Science & Research
Tel Aviv-Israel
Who we are
We are the leader in digital performance solutions, helping our advertiser and agency partners verify the quality of their digital campaigns, Optimise to improve performance and Prove that theyre achieving their business outcomes, through unbiased 3rd party data and analytics. DVs mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the worlds largest brands, agencies, publishers, and digital ad platforms. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital advertising ecosystem, helping to build a better industry.
What you will do
You will lead a team of experienced Data Scientists while remaining deeply involved in the technical work.
This is a hands-on leadership role (~70% hands-on) combining direct modeling work with ownership of team direction and execution.
You will work on core systems that operate at a massive scale, where:
Data is abundant, but labels are scarce and expensive
problems are long-tail and ambiguous
Systems must meet strict latency and cost constraints (pre-bid)
Your responsibilities include:
Lead development of content classification systems across social platforms (Meta, TikTok, YouTube), web, and apps
Design and build models across computer vision, NLP, and multimodal pipelines
Own the full lifecycle: data selection -> labeling strategy -> training -> evaluation -> deployment
Develop strategies for efficient data curation and labeling (active learning, auto-labeling, sampling under scale)
Improve model quality (precision/recall) while balancing cost, latency, and scale
Drive automation systems (auto-labeling, auto-curation, retraining loops)
Apply modern AI approaches (LLMs, embeddings, foundation models) to real production problems
Lead and mentor a team of senior Data Scientists, setting technical direction and pushing execution forward
Work closely with ML Engineering, Product, and Policy to translate ambiguous requirements into scalable systems.

Were looking for a talented Data Engineer to join our Data team and spread the power of our company. The Data team develops and maintains the infrastructure for internal data and product analytics. We are looking for data enthusiasts, independent, logical thinkers with a can-do approach and a passion for problem-solving. We run a SaaS-based stack using BigQuery, Snowflake and dbt.
WHAT YOU'LL DO
Design, build, and maintain data pipelines, datasets and catalogs for fast-growing products and business groups.
Develop self-service data analytics solutions and infrastructure.
Support ad hoc needs and requests of internal stakeholders.
Collaborate with analysts, engineers, and internal customers from Product, Finance, Revenue, and Marketing.

Our software team is growing, and we are looking for a software data engineer to be entrusted with designing, building, and optimizing large-scale data pipelines in both on-premise and cloud environments.


Your role will encompass the management and storage of binary and tabular data, integration and collaboration with our AI/ML teams and stable large scale ETL pipelines. We value agility, so staying updated and adaptable to our evolving tech stack is inherent to the role.

Responsibilities
Manage and design ETL processes, data cleansing, transformation, and integration.
Work closely with our ML/AI teams.
Apply solid expertise in SQL and other databases to support data operations.
Collaborate with the data team and stakeholders to align on requirements and deliverables.
Manage and set up visualization tools to enable data-driven decision making.
Monitor and maintain logging frameworks such as Grafana, Prometheus, Kibana, and Elasti.

Required Data Engineering Manager
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.
As an Engineering Manager in the data department, youll build and scale our data platform and data apps that powers our business insights. Youll design and implement robust pipelines to process billions of daily records, leveraging cutting-edge cloud technologies to transform data into actionable intelligence.
If youre passionate about data engineering and driving business growth through insights, wed love to hear from you!
Responsibilities
Lead and grow Data Engineering and Machine Learning teams in a high-scale environment (tens of billions of events per day).
Own the design and evolution of a self-service data platform enabling internal teams to easily build, ship, and consume data products.
Architect and scale batch and streaming pipelines powering core business and ML use cases.
Drive production ML systems end-to-end (recommendation, ranking, prediction) with direct business KPI impact.
Ensure reliability, scalability, and observability of large-scale data and ML systems in production.

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.

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.

Were seeking a passionate Senior AI Engineer to join our AI team. With a wide array of responsibilities and corresponding impact, youll help spearhead our new product offering and the world-class AI conversation product impacting millions of patients.
Responsibilities
Design, develop, and drive design processes and products that incorporate Generative AI (LLMs), models and knowledge Retrieval in order to help patients across the US.
Design and define data pipelines and evaluation pipelines.
Build applicative AI in production on a large scale.
Build solutions for different mediums, including voice products with minimal latency and high accuracy.
Provide a scientific evaluation of the quality of our models.
Continuously improve our existing NLP capabilities to help patients across the US answer any question, schedule appointments with their doctor, refill their prescriptions, and much more.

We are seeking a Senior Data Scientist to join our Data Science team and lead the development of our 2D-to-3D modeling projects and help us bring the companys vision of virtual try-on to reality. The ideal candidate will have hands-on experience in 3D reconstruction, multi-view geometry, animation and neural rendering, with a proven ability to design and deploy production-ready models.



Responsibilities:

Lead research and development of 2D-to-3D modeling solutions, including single-image 3D reconstruction, multi-view 3D reconstruction, texture mapping, PBR mapping and depth estimation.
Own your deliverables from literature research, design and development to integration, testing and ongoing support
Collaborate with cross-functional teams to integrate research outcomes into scalable production systems.
Mentor other team members and promote teamwork
Continuously optimize team processes and workflows to improve efficiency and output

We are looking for a Senior Fraud Analyst to serve as the technical cornerstone of our Fraud Prevention team.
In this role, you won't be managing a team; youll be managing the technical evolution of our fraud defenses. Reporting directly to the Fraud Prevention Director, you will act as a high-level individual contributor, bridging the gap between data science, engineering, and risk strategy. You will be responsible for pioneering the use of AI and advanced analytics to protect our community and ensure our platform remains the safest place for independent businesses to grow.
Here are a few of the things you'll do:
Technical Strategy & Architecture: Partner with the Fraud Prevention Director to define the long-term technical roadmap, moving our company toward an AI-first, autonomous fraud detection ecosystem.
AI & LLM Integration: Design and implement Generative AI agents and LLM-powered workflows to automate complex forensic investigations, reducing the time-to-detect for emerging fraud vectors.
Advanced Detection Modeling: Develop and prototype sophisticated ML models and graph-based heuristics to identify collusion, synthetic identities, and fraud rings.
Cross-Functional Technical Lead: Serve as the primary technical consultant to Product and Engineering, ensuring that new payment features (like RTP or international expansion) are built with scalable, AI-driven safeguards from day one.
Expert Forensics: Act as an escalation point on high-stakes, large-scale fraud attacks, utilizing advanced Python and network analytics to deconstruct and mitigate threats.
Data Excellence: Set the standard for the fraud teams technical stack. You will optimize our SQL/Python environments and ensure our data infrastructure is capable of supporting real-time AI inference.

Main responsibilities:
Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built.
Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Optimize and monitor the team-related cloud costs.
Design and construct monitoring tools to ensure the efficiency and reliability of data processes.
Implement CI/CD for Data Workflows.

A large-scale mobile platform, is seeking a highly skilled Senior Data Scientist to join our dynamic AI team. The ideal candidate blends a strong foundation in machine learning, statistics, and software engineering with a passion for modern, AI-accelerated development. You will be responsible for leading the research, design, and end-to-end development of cutting-edge machine learning systems at scale.
What you'll be doing
Innovate at Scale: Design and deploy advanced ML solutions by leveraging our vast, large-scale datasets.
Build & Scale: Develop online, scalable models and tools using machine learning, deep learning, NLP, and modern LLM frameworks.
End-to-End Ownership: Drive projects through their entire lifecycle-from translating complex business questions into technical strategies, all the way to robust production deployment.
Production Excellence: Champion high engineering standards by building, monitoring, and optimizing resilient production workflows.
Cross-Functional Collaboration: Work closely alongside data scientists, ML engineers, product managers, analysts, and developers to solve complex, multi-faceted problems.

We're seeking a Mid to Senior Data Engineer to join our Cloud Identity & Perimeter, a critical component of security infrastructure. Our team develops and maintains complex data pipelines that process billions of records daily, analyzing identity-related security patterns, effective permissions, internet exposure, and attack paths. We're at the forefront of securing enterprise identities and delivering actionable security insights at scale.

What You'll Do:

Design and implement high-performance, distributed data processing pipelines handling petabytes of security data

Architect complex data transformations using Apache Spark for large-scale batch and stream processing

Be part of shaping new products while collaborating with product teams, customers, and sales.

Build and optimize real-time data streaming solutions using Kafka for identity analytics

Develop and maintain scalable ETL processes that handle billions of daily events

Create efficient data models for complex security analytics queries

Collaborate with cross-functional teams to deliver high-impact security features

Optimize query performance and data storage patterns for large-scale distributed systems

Participate in system design discussions and architectural decisions

Required Senior Data Scientist
The opportunity
Join a high-impact ML team building state-of-the-art systems that optimize experiences for billions of users. You'll tackle challenging problems across diverse datasets - with the freedom to explore novel approaches and infrastructure to deploy them at scale.
What Success Looks Like:
Short-term: Ship your first production model with measurable impact within 3 months.
Long-term: Own major ML initiatives end-to-end and introduce new methodologies that expand the team's capabilities.
Your Impact:
Elevate our technical bar with fresh ML perspectives. Shape our roadmap by identifying opportunities others miss. Your research skills keep us cutting-edge while your execution speed drives results.
What You'll Gain:
Work on real-time ML systems at scale with rich, diverse data
Autonomy to define problems and drive projects from idea to impact
Freedom to explore emerging techniques and expand your scope
Fast feedback loops through strong experimentation infrastructure
What you'll be doing
Join a high-impact ML team building state-of-the-art systems that optimize experiences for billions of users. You'll tackle challenging problems across diverse datasets - with the freedom to explore novel approaches and infrastructure to deploy them at scale.
What Success Looks Like:
Short-term: Ship your first production model with measurable impact within 3 months.
Long-term: Own major ML initiatives end-to-end and introduce new methodologies that expand the team's capabilities.
Your Impact:
Elevate our technical bar with fresh ML perspectives. Shape our roadmap by identifying opportunities others miss. Your research skills keep us cutting-edge while your execution speed drives results.
What You'll Gain:
Work on real-time ML systems at scale with rich, diverse data
Autonomy to define problems and drive projects from idea to impact
Freedom to explore emerging techniques and expand your scope
Fast feedback loops through strong experimentation infrastructure.