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נאספה מאתר אינטרנט
15/05/2024
Location: Tel Aviv-Yafo and Herzliya
Job Type: More than one
The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with Microsofts most strategic Healthcare and Life Sciences customers who are looking to leverage the latest technologies to address their toughest challenges. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. In this role, you will be working with data scientists, program managers and engineers from your team and our customers teams to apply your skills, perspectives, and creativity to grow as engineers and help solve our customers toughest challenges.

We are looking for a Data Scientist with expertise in developing statistical techniques to analyze data and find patterns. You will work cross-functionally with several teams including data scientists, engineering crews, product teams, and program management to deploy business solutions for Microsoft clients in the Healthcare and Life Sciences sector.
Requirements:
Required Qualifications:
3+ years of data-science experience (e.g., managing structured and unstructured data, applying statistical techniques, and reporting results). AND Bachelors degree in Engineering, Computer Science, Mathematics, Statistics, or related field
OR 2+ year of data-science experience AND a Masters degree in Engineering, CS, Mathematics, Statistics or a related field.
OR a PhD degree in Engineering, CS, Mathematics, Statistics or a related field.
OR equivalent experience
Expertise in machine learning models with hands-on experience applying them in real-world scenarios.

Preferred Qualifications:
Experience working as part of geographically dispersed, diverse, and virtual teams.
Enjoy travel and are comfortable with travel up to 25% (once per quarter)
Masters degree in Engineering, Computer Science, Mathematics, Statistics, or related field.
Demonstrated ability to work with customers and collaborate across company boundaries. 
Knowledge of advancements and emerging research in foundation models, including large language models (LLMs).
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
15/05/2024
Location: Tel Aviv-Yafo and Herzliya
Job Type: More than one
We are looking for a highly motivated and experienced Principal Data Scientist to join our team! The Education Insights team in our Education builds and operates experiences to empower and delight learners and educators for the betterment of education of millions of users worldwide.

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.

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 our company (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.
Requirements:
Required Qualifications:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and
unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).
OR equivalent experience.

Preferred Qualifications:
10+ years of AI/ML experience in the industry (5+ years for PhD).
Technical skills in AI and machine learning.
Track record of shipping innovative AI-based products at scale.
Extensive and up to date knowledge and experience with LLM and other modern AI methods.
Coding skills and knowledge of Python AI ecosystem.
Problem-solving skills and creative thinking ability, coupled with a capacity to swiftly and independently grasp new technologies.
Ability to communicate, written and verbal.
Keen interest in Education.
Publications of AI-related research.
This position is open to all candidates.
 
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