לוח משרות דרושים Data Scientist

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.

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.

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 looking for a senior Data Scientist to lead into the next stage, utilizing our data assets for in-house business development, product development, and customer outreach.

You will work with large-scale data at the intersection of agronomy and commerce, designing and implementing algorithmic and machine learning solutions that power our data-driven platform. This will include predicting buying behaviors models, sales, and product recommendation models based on farmers' behavior, and combining this with relevant product recommendations. If youre passionate about turning complex data into real-world impact in agriculture, we are looking for you, a talented, detail-oriented person to join our team.

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 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

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.

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.

About Us: we use AI to design groundbreaking therapeutics and is the first company to apply AI in the design of human antibodies. Combining computational biology and large molecule drug design, we use our proprietary AI platform to design antibodies with new capabilities to cure life threatening and debilitating diseases, ushering in a new era of smart therapeutics. Position Summary As a Business Development & Strategy Student, youll work directly with the Senior Director of BD & Strategy to support projects that shape our companys growth. This is a hands-on opportunity to learn how strategy, science, and business intersect in biotech. This is a part-time, on-site position based in our offices. Key Responsibilities Competitive Landscape Analysis and Industry Trends track and analyze industry players, therapeutic modalities, and market trends in biologics and AI-driven drug discovery. Clinical Trial Tracking monitor clinical development programs across antibodies, antibody-drug conjugates, and related modalities, with a focus on competitive intelligence. data Synthesis & Presentation create concise reports, presentations, and dashboards to support strategic decision-making by senior leadership. Cross-functional Collaboration Work with both scientific and business team members to gather insights and align on analyses. 
What We Offer:
Exposure to senior leadership and strategic decision-making in a biotech start-up. Hands-on experience at the intersection of AI, biologics, and business strategy.
* Opportunity to contribute meaningfully to a fast-growing company advancing next-generation antibody therapies.
* Mentorship and career development support.

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.

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.

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 believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, weve tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether its supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, were not just here to move money were here to move our global customers forward. Were looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If thats you and youre ready to do the most meaningful work of your careerwe invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders. The team in Israel pushes forward and aims for the stars, an energy that has defined us since our early startup days. We hire talents who are passionate about building meaningful products and making a real impact on peoples lives. We invest in promoting their career by providing opportunities, challenges, and a great flexible work environment. The team in Israel pushes forward and aims for the stars. We hire top talents and invest in promoting their career by providing opportunities, challenges, and a great work environment that places an important emphasis on work-life balance.

About the Role:
We're looking for a Senior Machine Learning Engineer to design and build scalable ML models that power critical business decisions. You will focus on building ML expertise from experimentation to production in one or more areas that improve the company's overall ML strategy. This role is based in Tel Aviv and involves collaboration across global teams, requiring strong communication and coordination skills.

Responsibilities:
Build and deploy end-to-end machine learning solutions from research to production by leveraging advanced algorithms and mathematical techniques to deliver highly predictive models in the fintech space.
Design and run experiments to evaluate new data sources and continuously improve the performance of existing models.
Implement, maintain, and monitor production models using machine learning platform, ensuring scalability, reliability, and long-term performance.
Evaluate model effectiveness both offline and in live environments, with a focus on real-world impact and business relevance.
Act as a technical leader, mentoring teammates, guiding design decisions, and collaborating with global cross-functional partners to drive ML initiatives forward.

Join our AI & Innovation group as a Data Scientist and help shape the future of AI-driven security solutions. Youll work with a team of passionate, sharp-minded professionals tackling complex challenges at the intersection of AI, data science, and cybersecurity building the next generation of security products at the core of our companys strategy.
Youll have access to some of the best cybersecurity data sources available, working in a fast-moving, dynamic environment that blends the agility of a startup with the scale and stability of a global leader.
If youre excited about solving real-world AI challenges, translating research into impactful solutions, and collaborating with top talent to push the boundaries of innovation we want to hear from you.
Key Responsibilities
Translate ambiguous product or business challenges into well-defined data science problems
Research and prototype cutting-edge AI techniques (LLMs, RAG, knowledge graphs, etc.)
Design and implement data-driven algorithms, analyze data, build and evaluate models
Collaborate with engineering to deploy scalable, production-ready solutions
Work with product teams to align AI solutions with user needs and business goals
Collaborate cross-functionally with engineers, product managers, and fellow scientists to bring research into production and deliver measurable impact
Stay current with advancements in AI/ML and generative AI, and actively contribute to innovation within the team and broader organization.

We are seeking an experienced Data Product Manager who is passionate about leveraging data to elevate healthcare. This role focuses on the data platform product, where you will oversee the processing and structuring of data from multiple healthcare sources to build Navinas patient data lake, providing users with a complete, accurate, and actionable understanding of their patients.
Responsibilities:
Shape Navinas Data Platform roadmap by aligning business needs with scalable, high-quality data solutions.
Translate user needs into prioritized product specifications. Make tough prioritization decisions on a day-to-day basis.
Define data processing flows, including API design, data contracts, and data serving, to unify data within the Navina platform and establish a single source of truth across the organization.
Collaborate closely with Engineering, Medical, and Data teams to ensure successful delivery.