לוח משרות דרושים Data Scientist עבודה היברידית

We are looking for a Data Science Researcher - Finance and Marketing.
What you will be doing:
As a data scientist in the Business Data Science team, you will be leading finance and marketing projects with focus on time series handling.
Lead machine learning based projects from business requirements, through research, evaluation, production implementation and monitoring.
Work on diverse problems and domains, and work with several stakeholders on a daily basis including finance and marketing managers, developers, BI analysts and more.
Build ML and statistical models based on historical revenue streams and usage data to predict different KPIs. For example, LTV, campaigns ROI, users attribution and more.

As a Data Scientist intern, you will formulate approaches to solve problems using well defined 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 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 met

Responsibilities:
Gain a basic understanding of a broad area of research and applicable research techniques, as well as a basic knowledge of industry trends and share your knowledge with immediate team members.
Apply strategies provided by Senior team members. Following guidance from team leaders, research relevant tools and technologies being used in the community.
Reinforce a positive environment by learning and adopting best practices. Maintain & develop ties with an external network of peers and identify prospective talent for our research pipelines.
Assist with documentation for senior team members. Learn and follow ethic and privacy policies while exeuctive research processes or collecting information.

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.

We are looking for a talented data Scientist to join our international team and contribute to the development of advanced models in various domains.
This opportunity is a gateway to a world where business work and cutting-edge technology meet, and it's designed for those who want to make an impact, innovate, and lead in the Big Data realm.
*Hybrid Model*.

A day in the life:
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Analyze our risk product, identify improvements, and communicate results with internal stakeholders, including leadership, to ensure these are incorporated into business processes.
Lead our risk model data science performance monitoring. Define, understand, and test opportunities to improve the product, and drive roadmaps through your insights and recommendations.
Deliver directions for future data science research that are related to the model performance.
Design data collection strategies and their applications for building new products. Collaborate with the data engineering team to define and implement data processing workflows.
Participate in the design of data preparation processes, ensuring seamless integration of business requirements and technical feasibility.
Exemplify and foster our humble, collaborative and impact-obsessed culture.