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Shape the Future of Cybersecurity with Us Are you driven by curiosity, innovation, and the desire to turn cutting-edge research into real-world impact? Join Cynet, an established but rapidly growing cybersecurity startup, where you'll be part of a small, elite team building groundbreaking AI-powered security products from the ground up. Work alongside top minds in security research, R&D, product, and data engineering to drive innovation and create real value for global customers. This is your chance to contribute to a foundational mission - developing AI technology that proactively protects against todays most sophisticated cyber threats.

What will you do:
As a data Scientist at Cynet, youll play a central role in shaping our future technology. Youll: Own AI product creation end-to-end - from the initial concept through building prototypes to full-scale production. Drive innovation by developing and integrating ML and Generative AI solutions into Cynets core cybersecurity products: Endpoint, XDR, Network Detection, and Posture Management. Analyze massive volumes of security data to uncover hidden patterns, threats, and insights. Develop and fine-tune models with state-of-the-art optimization strategies and performance metrics. Contribute to and expand our AI infrastructure, including data pipelines, evaluation tools, and deployment frameworks. Conduct rigorous experimentation, explain and monitor the real-world performance of your models. Write production-ready code that makes it into our deployed AI systems.

Were on a mission to revolutionize how marketers, writers, and innovators create their marketing content. With tools like ChatGPT?? taking the world by storm, its clear that the spotlight is now shining on the Generative AI space. However, its ultimate hurdle is now a self-compounding problem: with infinite options for messaging now available to all marketers how do we know what will actually work? Your words matter, and Anyword was built to ensure that they resonate. Since 2021, weve been building a platform to help both the worlds largest brands and its next rising stars actually move, inspire, and drive their audiences forward. In reality, weve removed the uncertainty of writing performance copy, and are the first to bring copy intelligence into play. Weve combined our own language models, predictive analytics, custom AI, and branding-specific tools to help brands rise above the noise in ways they couldnt before. Weve built the brain behind all marketing messaging, no matter where it lives and how you create it (with AI or not). And now were looking to you to help change the world with us!
About the role Anyword is seeking a senior NLP data Scientist to lead our marketing language predictive modeling. Youll explore complex datasets, build and fine-tune advanced NLP /LLM models, and partner closely with engineering and product to integrate your work into Anywords AI content platform.
Responsibilities:
* Define and own the technical strategy and roadmap for Anywords marketing language predictive modeling.
* Analyze, process, and derive insights from our ever-growing data resources.
* Solve challenging prediction problems by applying the latest ML/ NLP techniques to build and fine-tune highly performant LLMs.
* Collaborate with engineers and product managers to ship models end-to-end, from research to production.
* Monitor and iterate on models using offline and online metrics.

This is a senior leadership role focused on technical excellence and innovation. You will mentor a talented team of engineers and scientists, guide the end to end technical strategy from innovative research to production deployment and ultimately define the art of the possible for our most critical operational systems.

Responsibilities:

Lead the design and architecture of complex, end to end AI systems, guiding projects from initial conception and research through to production deployment and impact analysis.

Own the technical vision for the next generation of intelligent automation, creating patented technologies that directly impact Salesforce Field Service's core competitive advantage and market differentiation.

Provide technical leadership and set the strategic direction for the research and development of novel optimization and machine learning solutions.

Drive fast paced experimentation by independently or collaboratively prototyping solutions that showcase how new AI technologies can address real world business challenges. Collaborate with cross functional teams to translate prototypes into actionable solutions and define incremental delivery plans for implementation.

Mentor and guide a team of AI developers and scientists, fostering a culture of innovation, technical excellence, and continuous learning.

Stay at the forefront of academic and industry advancements by attending top tier conferences, networking with experts, and continuously learning about the latest in optimization, AI, and large language models (LLMs) to identify, evaluate, and apply emerging techniques that drive a significant competitive advantage.
JR314441

as a data scientist, you will harness your skills to help millions of individuals and organizations fend off any malicious activity - practically defending the world from evil : )
Collaborate with brilliant security researchers, data scientists, and engineers to create new security capabilities for some of our key products. We are looking for a team player who is also independent, curious, and willing to share their perspective and push their ideas.
In this position, you will:
Lead end-to-end data science projects from research exploration to production.
Engage with cutting-edge GenAI technology to develop innovative solutions and enhance our data science capabilities.
Design and implement improvements of current ML-based products.
Work with domain experts to help shape the right questions and use your analytical skills to answer them.
Find new and innovative approaches to turn the huge data-stream created by our platform into additional security value.

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.

Required Data Scientist, Product Analytics
As a Data Scientist, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a varied set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining us, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.
Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Responsibilities:
Data-driven insights. Help identify new products and opportunities for the company in diverse domains.
Develop Machine Learning models. Define requirements & combine data from a wide set of sources to develop ML/DL models that will automate and speed up our business processes.
End to end model management. Conduct in depth research, POC, write production-grade code and implement it (all the way to production) using our MLOps Infra to solve a diversity of business problems.

Were hiring an Optimization Algorithm Developer to own the algorithmic core of our cloud cost optimization solutions. Youll design optimization strategies, apply predictive and machine learning methods where they add value, and work with backend and data engineers to embed algorithms into production.

This is a hands-on role for someone who enjoys solving complex cost/performance trade-offs at scale and wants to see their algorithms drive tangible impact for customers.


Your ownership will include:

Develop and refine optimization algorithms for cloud usage and workload management.
Use statistical modeling, predictive techniques, and machine learning to analyze patterns and anticipate future behavior.
Deliver practical solutions that provide value early and can evolve into production-grade algorithms.
Define data and integration requirements; collaborate with backend engineers to operationalize solutions.
Establish clear evaluation methods (backtesting, offline experiments, KPIs) to measure performance.
Stay current with cloud economics, Kubernetes scaling practices, and FinOps trends.

we are seeking a skilled and passionate Data Scientist. At Windward, we are dedicated to creating a safer, more transparent, frictionless, and efficient maritime industry. Our mission is safeguarding maritime domains with AI technology that makes the right action easy, empowering responsible governance and secure global trade for a better world.
What will you do?

Develop and implement a variety of models (e.g., LLM, predictive models, classifiers, time series) on both public and proprietary data
Lead projects from ideation to production, ensuring solutions are effective in real-world scenarios and monitored for quality over time
Collaborate with product managers to understand problems and define solutions
Contribute to the research environment in order to improve the flexibility and quality of delivery

we are Walmart's first acquisition in Israel, and has become an integrated part of the core of Walmart's e-commerce, the largest retailer in the world!

We develop state-of-the-art NLP solutions that enable millions of Walmarts shoppers to make smarter and more confident buying decisions.

Were growing and are currently looking for a Staff NLP Data Scientist to join our group, and help us through the research and development of cutting-edge algorithms while handling massive amounts of data.

Responsibilities:

Responsible over algorithmic features from inception to production
Research new technologies and adapt them for use in the product
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithms to solve complex problems
Write and implement efficient code