לוח משרות דרושים Data Scientist בשרון

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.

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.

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.

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. 

A trailblazer in AI-powered Anti-Money Laundering (AML) solutions, offering cutting-edge technology to fintechs, banks, and regulatory bodies worldwide. Our mission is to enhance trust in financial transactions, ensuring compliant and innovative business growth.
Our technology empowers customers to expand into new markets and introduce groundbreaking products.
you'll be part of a dynamic global team committed to redefining the financial services sector through technological innovation. You will contribute to creating safer financial environments and have the opportunity to work with some of the brightest minds in AI, ML, and financial technology. We offer a collaborative, inclusive, and forward-thinking work environment where your ideas and contributions are valued and encouraged.
Join us in our mission to revolutionize the financial world, making it safer and more trustworthy for millions worldwide. Explore exciting career opportunities at where innovation meets purpose.
looking for a Data Scientist to join our innovative Data team.
As a Data Scientist, you will work on customer-facing projects that combine data science with deep knowledge and understanding of machine learning and big data technologies to create solutions for customers challenges and needs, defining and developing appropriate technical and business solutions. The Data Scientist will work closely with Product Management, Algorithm, Engineering, and Customer Success teams and lead external partners to successful implementations of the platform and solutions.
Key Responsibilities
Deliver successful deployment and Pilots
Manage and design the Customer-specific technical solution throughout the project life cycle
Technical leadership of Data Science & Engineering aspects and team members including partners
Work on various data sources and apply sophisticated feature engineering capabilities
Bring and use business knowledge
Extract insights and actionable recommendations from large volumes of data and Investigate anomalies in Big Data
Build and manage technical relationships with customers and partners
Provide product requirements input to the Product Management team
Train the customers on the system system usage and monitoring aspects

We are looking for a data scientist with proven hands-on skills to join the team and build high-performing, scalable applications that turn time-series telemetry into data products. You will collaborate with great people from multiple disciplines to create innovative digital products and integrate them within the Sensing-as-a-Service cloud platform.
Responsibilities:
Rapidly experiment and build models to clean signals and provide valuable insights to our customers.
Design algorithms and SW solutions, considering large scale, high availability, security, robustness, performance, and cloud aspects.
Work hands-on with the data using SQL, PySpark, and other tools to extract, analyze, and visualize data.
Understand and oversee all phases of the development life cycle, such as Automation, CI\CD, TDD, Integrations, Builds, and Deployment.
Work with cross-functional stakeholders such as product management, marketing, and SW engineering.
Make strategic recommendations on data collection, integration, and retention requirements incorporating business best practices.