לוח משרות דרושים דאטה

The successful candidate will have strong engineering capabilities with high Python proficiency and a deep understanding and experience in machine learning and AI. You will work closely with cross-functional teams to create cutting edge LLM-based experiences, make decisions using data and be responsible for developing innovative solutions that drive towards the future of AI in education. We are looking for enthusiastic and creative thinkers and doers to join us in meeting the challenge of shipping AI products that meet the needs of learners in a changing world.

Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Adopt, contribute to, and improve the teams existing technical stack and infrastructure to build differentiated features in the Education space.
Stay up to date with AI technology, advise on how we can adapt and embrace new technologies methodologies and ideas.
Provide hands-on technical work: design, analytics/modeling and fine tuning, dataset development, code reviews, development, quality assurance.
Build relationships with partners within Microsoft (applied) Research Teams to bring innovation to new and existing products.
Foster a culture of inclusivity and disciplined data and software engineering practices to deliver business value, guided by data.
Creating and sustaining an effective team culture is extremely important to us. We value and promote a high trust environment where we work closely and effectively with others.
We emphasize a culture of continuous learning and so having a growth mindset and passion for learning is important. You should expect that your teammates will be invested in helping make you successful and expect the same in return from you. We recognize and celebrate the uniqueness of each person on the team and leverage our diversity to create more inclusive products for our customers.

required Cyber Security Data Analyst
Detect and characterize suspicious actors and abnormal behavior, to develop automatic data-driven solutions that mitigate cyber risks and threats
Conduct security research and critical incident investigation, leveraging insights from various technical data sources including application and infra raw logs, as well as users BI events
Be an integral part of data science projects - from the project definition, to the data collection, and evaluation of the model
Be the data expert in security projects and work closely with different teams across the company
Build and maintain reports, dashboards, and metrics, in addition to monitoring the integrity and validity of the data reported
Promote cyber security awareness and guidance to other teams within the company regarding our unique methodologies for threat analysis

required Data Engineer
Be responsible for designing, implementing and maintaining data pipelines from different sources into the organizational data warehouse (DWH)

Design and implement robust, scalable solutions making it easier to identify gaps and the design processes needed to solve them

Work with analysts and product managers to understand business priorities and translate requirements into data models

Collaborate with various stakeholders across the company like data engineers, analysts, data scientists, finance experts, etc.,

Collaborate with a broad forum of stakeholders, including architects and engineers, to create high quality deliverables