לוח משרות דרושים Data Scientist

Do you want to be a Data Engineer on an elite Data Science team? Do you want to build data solutions that power AI and Data Analytics of a global Security Product? Do you want your work to be impactful on millions of users?

Join us and become part of a winning Data Science team that builds the brain of one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks. Our team is responsible for developing and deploying Machine Learning (ML) models that protect organizations worldwide and owning Data Analytics systems that facilitate data-driven decisions and operational excellence.

If you are an excellent engineer with a background in Big Data, and are passionate about engineering for Data Science, we would like to talk to you!

Responsibilities:
Create and maintain robust Big Data pipelines for Analytics and ML systems.
Optimize performance of Big Data scripts and queries.
Create monitoring and reporting infrastructure.
Develop systems that facilitate Data Science activities such as Analytics and Feature Extraction.

Do you want to be a Data Scientist on an elite Data Science team? Do you want to build Data Analytics for a global Security Product? Do you want your work to be impactful on millions of users?

Join us and become part of a winning Data Science team that builds the brain of one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks. Our team is responsible for developing and deploying Machine Learning (ML) models that protect organizations worldwide and owning Data Analytics systems that facilitate data-driven decisions and operational excellence.

If you are a talented Data Scientist with excellent analytical, statistical, and data-visualization skills, who is passionate about applying Data Science to drive a revolutionary cyber-security product, we would like to talk to you!

Responsibilities:
Collaborate with Security experts and other stakeholders to define Business metrics.
Work with data engineers to implement these metrics over Big Data sources.
Create and maintain dashboards and visualizations.
Conduct data analysis and present insights to the leadership team and stakeholders.
Develop Anomaly Detection and monitoring solutions to ensure operation excellence of AI and other systems in MDE.

We are seeking a talented Applied Scientist with excellent technical skills and a desire to make significant impact through data and research. A successful candidate will be self-directed, generate novel ideas, plan, experiment, implement and ship to production efficient Machine Learning and AI solutions.

Responsibilities:
Develop ML models to detect and disrupt cyber-attacks.
Stay informed about the latest advancements in Machine Learning, including Large Language Models, Graph Neural Networks and Anomaly Detection, and apply these to complex cybersecurity challenges.
Collaborate with security experts to integrate their knowledge into ML models.
Work with truly Big Data sources to distil data for training of ML models.
Integrate your ML models with production systems, follow the results and iterate.

Data organization is at the heart of the telecommunications industry, helping the largest Telco operators in the world to modernize their data platforms, Our teams use the latest cloud technologies to optimally organize the data and build AI analytics solutions to provide valuable insights, create exceptional customer experience and drive significant growth.

Telco operators deal with zettabytes of data and hundreds of billions of data connections. We are leading their transformation to data-driven decisions by providing solutions and applying advanced analytics, Generative AI & machine learning.
Are you passionate about data and want to create amazing Generative AI & ML solutions and apply your Data Science and Analytics knowledge on the largest scale and the most sophisticated problems?
This is a hands-on position for a motivated and talented innovator. The Data Scientist designs and develops sophisticated machine-learning solutions and algorithms that provide insight from data.
If you are up to the challenge, join our team!


What will your job look like?
You will be a leader and source of knowledge/ subject matter experts in the Data Scientists group to design Generative AI/ML use cases and solutions.
You will be building innovative AI/ML models and POCs with clients
You will be integrating deeply with business leadership as a trusted and influential contributor to ensure maximum impact of Data Science / Generative AI /Machine Learning outputs
You will be engaged with partners and clients to develop new business and future AI/ML Use case catalogs.
You will support and showcase a long-term research agenda aimed at generating innovations to solve critical business needs and challenges
You will be working closely with internal and external groups, understand the needs, and work with the team to identify the solution using AI/ML models and use cases, working with the Pre-sales/sale on prospecting opportunities and the overall pre-sale cycle.
You will present results, including the preparation of patents and white papers and facilitating presentations during conferences.
Collaborate with our customer's business and IT teams to implement business and IT requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL)
You will hands-on working with the team and support them during the work life cycle, end-to-end flow from data research to creating the AI/ML Models and algorithms supporting the need to provide the best outcomes.
This is a full-time position.

Key Responsibilities:
Customer Engagement: Gain a thorough understanding of the business challenges and data requirements of customers through detailed discussions and comprehensive data analysis.
Expertise Demonstration: Effectively communicate the value and potential of our data and AI solutions to meet and exceed customer needs.
Solution Architecture: Architect and design state-of-the-art solutions leveraging extensive knowledge of data and AI technologies.
Collaborative Leadership: Work closely with sales, engineering, and other teams to drive successful customer engagements and achieve desired outcomes.
Knowledge Expansion: Continually update and broaden your expertise in the latest data and AI technologies and industry trends.
Technological Leadership: Provide mentorship and technical guidance to team members, fostering their development and enhancing the teams overall capa

Were a company of learn-it-all rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes.   
Are you ready to join us and create the future? Come as you are, do what you lovestart your journey with us today.
Data Scientists and AI researchers help to improve the quality and experiences of our devices and services. We are looking for highly motivated and passionate Data Scientists to design and apply rigorous scientific methodology and algorithms to improve devices, operating systems, and services. As a Data Scientist, you will provide unique insight into business and customer scenarios that cut across organizational boundaries and lead the growth of a data-driven culture.
As an AI expert, you will help push the state-of-the-art in computer vision, Natural language processing (NLP), speech recognition and speech enhancement, using extensive domain- specific knowledge, data, and compute resources. 
As a Data Scientist or an AI researcher intern, you will help formulate approaches to solve problems using various algorithms and data sources. You will incorporate an understanding of product functionality and customer perspective to provide context for those problems. You will use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data. Successful Data Scientists will interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve. 
You will develop real-world machine learning and deep learning algorithms in the domains of computer vision, natural language processing, recommender systems, and more. 
You will increase productivity of ongoing research projects and help to productize them, publish research papers in top-tier machine learning venues and issue patents.
You will engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
As a Data Scientist, you will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results. 

We are looking for a Data Scientist, Management who will be responsible for algorithm development for monitoring and predicting various issues that may impact the treatment outcomes. By leading the analyses for cutting-edge next-generation sequencing (NGS), analyzing exciting large-scale genomic data; by designing high-performance computing platforms and analysis workflow.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Management of data science activities within the Biostatistics department
Development and tuning of predictive models to improve product delivery and outcomes
Establish specific data and workflow requirements to ensure that content, timing, lineage, and transformation needs are well understood and addressed
Work with the Product team to identify optimal approach(es) for delivering information insights into workflow
Development of analysis plans, methods, and reports for various data science initiatives within the clinical and product teams
Find relevant patterns and detect device failures and develop methods for detecting and preventing device failure based on data.
Develop and test algorithms for predicting various issues that impact treatment outcomes.
Work closely with engineers and scientists in the company to integrate data analysis methods into products.
Perform and lead the creation of predictive models of patient outcomes in a survival analysis
Synthesis of evidence related to preliminary hypotheses regarding product use and treatment behavior
Lead activities of bio-informatics including the development of algorithms for cutting-edge next-generation sequencing (NGS), analyzing exciting large-scale genomic data; developing high-performance computing platforms and analysis workflow.
Write documents and prepare presentations necessary for patents, regulatory submissions, academic conferences, and other scientific publications.