לוח משרות דרושים Senior Data Scientist משרה מלאה

We are looking for a Senior Data Scientist.
As a Senior Data Scientist, you will be part of a multidisciplinary AI team, working on AI-driven solutions in audio and text fields. You will apply deep learning techniques, to develop scalable AI models that directly impact senior care. You will collaborate closely with R&D teams, leveraging real-world data to build high-performance AI solutions. This is an opportunity to tackle complex, real-world challenges, drive cutting-edge AI research, and develop innovative solutions tailored to the needs of caregivers and healthcare providersall within a dynamic, fast-paced environment.
Key Responsibilities:
Develop and optimize data pipelines and deep learning models with a focus on Natural Language Processing (NLP).
Take ownership and lead end-to-end delivery, from innovation, experimentation, and research to full development and deployment to production.
Lead research initiatives to solve complex data science challenges, applying deep learning techniques.
Continuously monitor and refine model performance, ensuring high accuracy, efficiency, and reliability.
Work closely with Product, Clinical team, and R&D teams to align AI innovations with company objectives.
Solve non-trivial, non-classical data science challenges using creative and outside-the-box thinking.
Work in a fast-paced startup environment, contributing to the development of cutting-edge AI-driven solutions.

A fast growing start up, transforms infrastructure monitoring by leveraging optical fibers to monitor critical, large-scale systems like power grids and oil & gas pipelines across thousands of kilometers without the need for traditional sensors. Our Hyper-Scan Fiber-Sensing technology, combined with advanced Machine Learning, empowers utility operators to achieve environmental and renewable energy goals while maintaining operational excellence on their path to net-zero emissions. Founded in 2017, with offices in the U.S., Europe, and Israel (HQ), led by an expert team with a proven track record in building and scaling successful companies within the lasers and deep-tech sectors. We are seeking a Senior data Scientist to join our team and take a leading role in shaping the future of our data science. We need your CTO -grade capabilities to incubate and launch the data product offering, creating value to our customers via reports and recommendations. This role is ideal for someone who thrives in a fast-paced, hands-on environment, enjoys working across disciplines, and wants to see their work go from concept to impact in the real world. Today, this is a high-impact individual contributor role. However, it is intentionally structured to evolve into a leadership position. As our product, customer base, and data expand, youll be instrumental in building and leading a dedicated data science team, with full ownership of methodologies, tools, and people. The data Science team leader at Product will report to the VP product.

Required Senior Data Scientist, Recommender Systems
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. Machine learning and AI, and especially recommender systems are at the center of our strategy and are imperative to our continuous success.
What will you be responsible for?
Solving complex business problems using ML and data-driven techniques, using a wide range of both classic and relevant SOTA algorithms and technologies, especially Recommender Systems challenges with high volumes of data. You'll be our Recommender Systems expert.
Working against business stakeholders to identify, well-define, and prioritize business problems to be solved through DS\ML pipelines.
Developing data-driven recommendation systems that directly increase user engagement, revenue growth, and customer retention.
Defining success criteria for each goal, building and owning the monitoring flow and maintenance plan for each solution.
Collaborating closely with a cross-functional Data Science team consisting of ML engineers, product managers, and data engineers.
Continuously self-learning, growing professionally, and mentoring younger team members.
Heres what we need from you:
On a personal level:
Collaboration: You are a true team player who thrives in cross-functional teamwork, working seamlessly with other teams while leading efforts within the data science team in a collaborative manner.
Independence & Ownership: You take initiative, pick up tasks quickly, and are capable of driving projects independently from ideation through to implementation. You plan, execute, and deliver End-to-End results without requiring constant supervision.
Ambitious. You are eager to make an impact and lead by example. You want to grow, you thrive in a fast-moving, dynamic, growth environment, and can operate at the strategic level and the micro-detail to get things done.
Results-driven. You have a can-do approach, drive to exceed your goals
Business-oriented. You are interested in our business, products, and services and know how to translate business needs into ML solutions.
Organized. You can manage highly interdependent, multifaceted projects and keep various work streams on track - even those with many moving parts.
Story Teller. You have good communication skills and are confident in presenting your results and ideas clearly and concisely.

We are looking for a Data Scientist with deep experience in the advertising industry to join a team of passionate engineers who build advertising solutions at world scale. We build and operate large-scale distributed machine learning systems that process 1B predictions per second during real-time auctions.
What will you do?
As a Senior Data Scientist, your mission will be to:
Stay on top of the state-of-the-art science and technology of large scale advertising systems
Areas of interest are models for CTR and CVR, on-line learning regimes, cold start, efficient and effective embeddings for users, ads and similar, ad matching, two tower architecture, ad match, ad ranking, etc.
Work with teams of data scientists and machine learning engineers to identify investment opportunities
Help the teams implementing the solutions - on multiple projects as an advisor and on projects you select as a part of the implementation team where you will be expected to participate in bringing new projects to production environment
Work with product managers to find data science and AI projects with best cost/benefit risk/reward ratios
Spend time experimenting with new approaches by yourself
Follow industrial and academic research, occasionally publish at conferences.

We are looking for a Senior Data Scientist.
About the role:
Assume ownership of multiple AI/ML solutions and features and deliver value to customers
Conduct data discovery of big data sources to identify potential applications and address specific problems
Design, implement and guide end-to-end machine learning pipelines from data processing to orchestration and MLOps
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews and Code Reviews.

We are looking for a passionate Senior Data Scientist to develop and deploy sophisticated user-level models and real-time online learning systems. In this role, you'll work end-to-end on building personalized predictive models that adapt as user behavior evolves, enabling dynamic decision-making. Your work will directly impact user experience, drive revenue growth, and enhance data-driven decision making across the organization by transforming how we understand and respond to individual user patterns in real time. You will be handed with a business problem and will be asked to provide an end to end solution - Unpack and thoroughly understand the business problem, define the strategy to deal with it and research, develop & deploy your solution along with relevant support.
What you'll be doing:
Design and implement end-to-end solutions from business needs all the way to live deployment
Monitor and own models in production
Model, design, and implement machine learning and data mining algorithms that will impact millions of users.
Perform deep data analysis to evaluate performance and recommend improvements
Help, guide and support our business partners to allow for scale and accuracy while adopting your solutions

Were looking for a Staff 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:
Collaborative Team Player: 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.

Required Senior Data Scientist
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Data Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Senior Data Scientist, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

The Account Defender team at our company is responsible for safeguarding user accounts across the internet by identifying and mitigating fraudulent activities post-login, including synthetic account creation, unauthorized account access (ATO), and coordinated malicious behavior.
We combine large-scale behavioral data with detection logic to stop sophisticated actors and protect real users.
Were looking for a Senior Data Scientist to join our team and take a key role in shaping detection strategies, researching behavioral signals, and developing models that power our companys real-time fraud defenses.
This is a high-impact role that involves working closely with other researchers, data analysts, product managers, and engineers to build, deploy, and iterate on fraud detection capabilities at scale.
What you'll do:
Lead end-to-end research projects to detect fake users and account takeovers from exploring behavioral patterns and validating hypotheses to deploying logic in production and evaluating impact.
Design and implement detection logic and features based on large-scale behavioral signals and fraud patterns.
Analyze real-world traffic to surface anomalies and iterate on detection strategies that improve precision and coverage.
Work closely with Product and Engineering to integrate solutions into production systems and influence roadmap decisions.
Help shape the teams detection methodologies, tooling, and best practices for scalable, real-time fraud mitigation.

The Account Defender team at our company is responsible for safeguarding user accounts across the internet by identifying and mitigating fraudulent activities post-login, including synthetic account creation, unauthorized account access (ATO), and coordinated malicious behavior.
We combine large-scale behavioral data with detection logic to stop sophisticated actors and protect real users.
Were looking for a Senior Data Scientist to join our team and take a key role in shaping detection strategies, researching behavioral signals, and developing models that power our companys real-time fraud defenses.
This is a high-impact role that involves working closely with other researchers, data analysts, product managers, and engineers to build, deploy, and iterate on fraud detection capabilities at scale.
What you'll do:
Lead end-to-end research projects to detect fake users and account takeovers from exploring behavioral patterns and validating hypotheses to deploying logic in production and evaluating impact.
Design and implement detection logic and features based on large-scale behavioral signals and fraud patterns.
Analyze real-world traffic to surface anomalies and iterate on detection strategies that improve precision and coverage.
Work closely with Product and Engineering to integrate solutions into production systems and influence roadmap decisions.
Help shape the teams detection methodologies, tooling, and best practices for scalable, real-time fraud mitigation.

We're looking for experienced, creative and highly independent NLP algorithm engineers to join our winning team. This is a great opportunity to join an algorithm department early on and to have a major impact on the product and methods used. You will be in charge of end to end algorithm development, from initial research, all the way to full deployment.

Responsibilities:
Research, develop, and deploy advanced machine learning and deep learning models to production.
Take end-to-end ownership of the project lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
Utilize NLP methodologies to extract and provide insights from patient medical records.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Stay updated with the latest research and advancements in machine learning, deep learning, and NLP.
Communicate findings and recommendations effectively to both technical and non-technical stakeholders.

Who We're Looking For - The Dream Maker 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 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.

We are looking for a Data Science / Machine Learning Engineer Tech Lead to join the data science group.
Youll have the opportunity to make a significant impact by creating products that are used by millions of users around the world.
our Data Science group is responsible for developing and implementing data-driven models, conducting research to evaluate new data science methodologies, and analyzing large datasets to extract actionable insights.
The individual will collaborate with cross-functional teams to ensure actual impact on our users and business outcomes.
Responsibilities:
Software Engineering: Design, develop and implement data pipelines infrastructure, work closely with group members and peers
Machine Learning: Design, Research, analyze, develop, and implement predictive models, in addition to MLOps infra for various of machine learning techniques to address complex business problems.
Data Science Group focal point for aspects of code review, code quality, unit testing, E2E testing, ML models monitoring, maintainability and scalability
Collaboration: Work closely with cross-functional teams including Devops, Back End, and Mobile teams to define project goals and deliver data-science projects into production.
Stay updated with the latest research and advancements in MLOps, machine learning and AI.
Reporting: Create clear, concise, and actionable reports to communicate insights to stakeholders.