לוח משרות דרושים Data Scientist

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?
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.

Join our Data Science research team, leveraging analytical capabilities into the field of cybersecurity.
Responsibilities
Develop and implement statistical models and algorithms in big data environment to analyze communication data and logs for endpoint devices, identifying network attacks and anomalies.
Extract insights and enrichment using advanced analytical tools.
Lead end-to-end data science projects, including requirements gathering, conducting proof of concept (POCs), demonstrating value, building pipelines in operational systems and monitoring project progress.
Maintenance, improvement and optimization of production models.
Collaborate with various stakeholders within the unit and identify challenges and improvements that can addressed using data science techniques.

Our fantastic team is expanding to meet the growing demand of our customers and we are interested in welcoming a Data Scientist to join our team, and to design and develop proprietary AI models for our industry-leading OEM customers.

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.

we're on a mission to shape the future of the shipping industry through cutting-edge autonomous ship technology. Our solutions empower teams both on the ship and ashore to make informed decisions that dramatically enhance safety, reduce fuel consumption, improve navigation, and minimize environmental impact.

We integrate state-of-the-art technologies like computer vision and augmented reality, ensuring that we create solutions that improve operational efficiency and promote safer, greener shipping practices. we are committed to making a positive difference for both the environment and the people who rely on safe, efficient shipping practices. Join us as we work towards a safer, greener future for the maritime industry.

We are seeking a highly motivated and results-driven Senior Data Scientist to join our expanding data group. You will work directly with our team of data scientists and analysts, leading the research and development of innovative analytics products. Were seeking someone who is not afraid to roll up their sleeves, dive into the data, and deliver impactful solutions.

The ideal candidate will be an experienced analytics leader with a strong hands-on approach. You should be passionate about data and possess a deep understanding of machine learning, statistics, and data science principles. You will thrive in our dynamic environment, taking ownership of driving analytics for our new line of data products and demonstrating a "get-things-done" mentality.

Responsibilities:
Leverage a creative blend of AI techniques, machine learning algorithms, statistical analysis, and business intelligence to build and refine predictive models focused on tabular data. This includes structured datasets such as customer records, transactional data, time-series, and operational logs.
Drive end-to-end data science workflows for tabular data prediction use cases from initial problem scoping and feature engineering to model development, validation, and deployment.
Collaborate closely with dedicated development and product teams to ensure seamless integration and high-quality data science solutions.
Build and continuously optimize scalable ML pipelines and infrastructure specifically tailored for structured data and predictive modeling tasks.
Take initiative in identifying delivery bottlenecks, implement effective monitoring and model performance tracking for tabular predictions, and own the success of data-driven product features from inception through deployment.

Who are we?Flexible advertising, unified by data. our company empowers advertisers, agencies, publishers and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform ( DSP ) and supply-side platform (SSP), with the company's data Platform at its core. With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions.Why join the company's team?With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to pillars that make up the company's Way the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego.We're looking for a data Scientist to join our data team in Tel Aviv.What You'll DoResponsible for the optimization of technologies that are the foundation components of our data platform Work closely with engineering and product team in the design and implementation of data -driven algorithms that enhance the performance of our system Work with large-scale data and support scientific experiments to improve and validate the algorithm performance Own end-to-end workflowsfrom conducting exploratory research and building and validating Machine Learning models to deploying production-ready solutions and monitoring performance in real-world environments. Developing and using machine-learning techniques, visualizations, and statistical analysis to gain insight into various data sets some of which are readily available, and some of which we create and curate ourselves Help guide teams in researching, designing, simulating, and/or prototyping new algorithmic product features according to business needs
 At our company, we value our differences, varied experiences, and collective contribution. We know that not everyone takes the same career path, so if you dont match this job description perfectly, dont worry! We would rather see your application than risk missing out on your potential to make an impact.What if I have any questions before I apply?All applications need to be submitted online, however, to discuss any adjustments you may require ahead of submitting your application.

Required Research Scientist, GenAI & Computer Vision (Pixel Synthesis)
The Reality Labs organization is helping more people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development, AR/VR is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and were just getting started.
Individuals in this role are expected to be recognized experts in Artificial Intelligence and Machine Learning, particularly in areas such as DL, Computer Vision, Affective Computing, Behaviour Understanding, and Generative AI. As a Research Scientist, you will help us develop models, algorithms, datasets, and evaluation methodologies for the generation and animation of avatars to facilitate new and engaging user experiences, and apply them to large-scale production that has the potential to reach billions of users.
Research Scientist, GenAI & Computer Vision (Pixel Synthesis) Responsibilities
Help to develop the next generation of GenAI models for avatar creation and animation.
Harness passion for technology and propose new research roadmaps which can lead to the creation of new models that can be applied to multiple applications.
Employ knowledge in the following areas: multi-modal data processing, affective computing, generative AI, and neural rendering.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Disseminate findings of research by publishing papers in high impact conferences and journals.

We are seeking an experienced Data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced machine learning models, including LLMs, to support various product teams across our company. As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.
What am I going to do?
Take leading roles in foundational AI projects across our company: developing and fine-tuning LLMs, building reusable components for generative AI, supporting real-time predictions, and enabling streaming data utilization across online models.
Provide advanced Data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
Continuously identify new opportunities to evolve the platforms capabilities and streamline how AI is built and adopted across our company.

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. 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, and Meta. 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.

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 Staff Machine Learning Scientist
Realize your potential by joining the leading performance-driven advertising company!
As a Staff Machine Learning Scientist, youll play be a key contributor to product and engineering roadmaps, influencing decisions that affect millions of users daily.
How youll make an impact:
As a Staff Machine Learning 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
Provide technical leadership and mentor team members on best practices, code reviews, data-insights, analysis results and machine learning technical designs.
Own end-to-end projects involving multiple stakeholders, from architectural design and data pipeline configuration to production deployment and performance optimization.
Be a key contributor to product and engineering roadmaps, influencing decisions that affect millions of users daily.
You will report directly to the group manager.
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

Required Algorithms Analyst
Realize your potential by joining the leading performance-driven advertising company!
As a Data Analyst in Algorithm Group, you will use diverse data science methodologies to improve, assess, and contribute to the advancement of our algorithms.
How youll make an impact:
As a Data Analyst in Algorithm Group, youll bring value by:
Analyze big data and generate useful conclusions and actionable recommendations, driving our algorithm development and business efforts forward
Research and develop new metrics and KPIs to evaluate our product and systems performance
Define and implement advanced analysis tools using a variety of means such as Python notebooks, Tableau and Grafana
Devise new approaches of data analytics and in-depth statistical analysis while dealing with issues never dealt with before
Own and manage multiple data initiatives and projects both on an ongoing and an ad-hoc basis.