דרושים » תוכנה » Senior Data Scientist

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.

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

Were looking for a Senior Data Scientist to join our dynamic and collaborative team in Tel Aviv. In this role, you will shape strategic initiatives in the domain of AI and algorithm development, driving the creation of deep and innovative capabilities that push the boundaries of AI-driven solutions. By blending cutting-edge methods in Generative AI and Applied Machine Learning, youll play a pivotal part in defining our next generation of advanced, data-driven products and services.

Here are a few of the things you will do:

Collaborate with other team members: Foster an environment where colleagues can thrive. Seek opportunities to enhance team effectiveness, share expertise, and promote a culture of continuous learning.
Lead Applied Research & Development: Drive projects from focused, time-bound experimentation using scientific tools to delivering robust, production-ready solutions.
Strategic Impact: Partner with cross-functional stakeholders to identify, prioritize, and execute on high-impact AI and ML initiatives, ensuring alignment with business objectives.
Hands-On Innovation: Stay up-to-date with the latest technical and scientific advancements in AI, maintaining an experimental mindset to test, adopt, and refine emerging techniquesparticularly in Generative AI and LLMs.
Full Solution Ownership: Take accountability for project outcomesgathering requirements, developing data-driven solutions, and ensuring smooth deployment and operation through best-in-class MLOps practices.

Were looking for a Data Scientist to join our Data Labs department, which specializes in professional services for our super premium customers.
This role will report to our Datalabs Team Manager in the, R&D.
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 in the Datalabs team, 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. The Datalabs departments customer centric and business-oriented nature also means you will be supporting a team of data analysts and consultants who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class digital insights.
So, what will you be doing all day?
Your role as part of the R&D department, and as part of the Datalabs team means 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 on the search for a Senior Machine Learning Engineer who will join our Data team in Tel Aviv. As a Senior ML Engineer in a Data-Driven company, you will have a significant opportunity for impact. You will be part of the team that turns data into solutions that influence the product and drive strategic business decisions that shape the direction of the company.

Here are a few of the things you will do:

Own the end‑to‑end ML lifecycle: design, build, and operate data ingestion, feature‑store, training, evaluation, CI/CD, and low‑latency serving pipelines that power AI experienceslead qualification, generative content, conversational assistance, and more.
Collaborate deeply with AI researchers, engineering managers, and product managers to transform product ideas into reliable, scalable ML systems, iterating quickly from prototype to production.
Advance our MLOps platform by developing orchestrations, model registries, automated monitoring, and retraining workflows that enable shipment of AI features autonomously and safely.
Elevate engineering culture through code reviews, documentation, mentorship, and promoting experimentation and data‑driven decision making.

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.

We are looking for an ML Engineer to join our Data department. In this role, you will be responsible for the infrastructures needed to train models, serve them and do other ML magic.
What Youll Do:
Develop, integrate and optimize end-to-end ML solutions (data pipelines, training workflows, and serving infrastructure)
Plunge into a world of data, analytics, ML, high-paced and high-scale user and market movements
Work closely with Data Scientists to understand the business from top-to-bottom and turn their dreams into reality

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.