דרושים » תוכנה » Senior Data Scientist

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.

Were looking for a Data scientist Expert to join us
WHAT YOULL DO

Lead an applied research for AI-driven features in the platform
Cover a range of features - from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security
Collaborate with engineering teams to design, build, and maintain production pipelines
Work closely with the Security Research and Product teams to define research goals
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments
Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability

We are looking for Data Scientist (Hybrid Mode) to our Team in Tel Aviv
Are you a visionary Data Scientist passionate about leading cutting-edge research and implementing innovative solutions in a production environment? If you have a proven track record of developing algorithms in a fast-paced environment, a knack for NLP, and the ability to inspire your colleagues, we want to hear from you!
Responsibilities:
Lead and conduct advanced data science research, focusing on automatic knowledge-based understanding, entity recognition, and NLP models like state-of-the-art transformers.
Collaborate with a multi-disciplinary team of researchers, data engineers, software developers, product specialists, and researchers to solve complex problems.
Take ownership of major building blocks of the world's first multi-dimensional people-skills-jobs AI product.
Lead selected initiatives, and take ownership of the end-to-end agile process, from ideation to production-grade implementation, constantly improving the companys products.
Work closely with stakeholders to understand business requirements and translate them into actionable data science projects.

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're on the lookout for an NLP Data Scientist and a Backend Engineer whos as enthusiastic about Generative AI as we are.
In this role, you'll contribute to the development of robust LLM applications, as well as backend systems and infrastructure that support our Generative AI initiatives, aimed at enhancing efficiency and automation. Youll be instrumental in supporting the creation and maintenance of backend services, collaborating with cross-functional teams, leading GenAI applicative research tasks, and contributing to the advancement of GenAI projects. Youll also identify areas for improvement by analyzing user data, AI technologies, and user feedback.
In this role youll:
Use and extend our Generative AI Dev tools as well as open source and other latest LLM App building tools.
Work directly with the latest Generative AI technologies to develop advanced applications and maintain technical relevance in a rapidly-evolving field.
Significantly impact efficiency, improvement, and automation within the company by supporting Generative AI projects
Work in a highly production-minded environment
Participate in research and analysis to identify pain points and opportunities for AI-driven automation and efficiency improvements
Work in tandem with cross-functional teamsincluding Design, Engineering, Data Science, and Operationsto facilitate the integration of Generative AI and process enhancements
Work within a talented team with a fast-paced workflow.

an exciting Artificial Intelligence well funded startup in the heart of Tel Aviv (a short walk away from Azrieli train station). leveraging Machine Learning and Computer Vision to bring AI to optimize passenger journeys, making security screening accurate, fast and labor free.

Job Description
We are looking for new team members who share our passion for finding answers to difficult questions and new radical ways to build scalable and trustworthy data & analytics solutions, helping every team in the organization make faster and better decisions.

Data is the underlying asset of our vision. You will directly impact the core value of the product. Youll play a pivotal role in our ongoing mission to develop an advanced analytic pipeline capable of handling diverse data types and forms without manual intervention. Your expertise in advanced analytics will help provide predictive insights that drive business growth.

The successful candidate will turn data into information, information into technology insight that will promote us in the product and business levels. The main role is to interpret data and analyze results using statistical techniques and tools for providing ongoing reports. The Individual chosen for this position will have the opportunity to promote unique ideas, data collection systems and other strategies that optimize statistical efficiency and quality.

This position allows great exposure and growth opportunities in the company.

Responsibilities:
Data sets and subsets generation. Mapping business requirements to a well defined set of benchmarks and tests (building the data infrastructure to be used for the models)
Conducting precise measurement, comprehensive analysis, and insightful conclusions on overall business, technology and product activities
Defining technical requirements in collaboration with various organizational departments and ensuring their seamless implementation.
Proactively identify trends and opportunities for improvement while sharing your findings with a variety of stakeholders and management team.
delivering actionable insights and tools that help teams from across the organization to make impactful decisions.
Stay up-to-date with the latest trends and technology in the data industry.
Define automatic processes regarding to reports and deep analysis

Were in search of a Prompt Engineer with a Data Science background to join our Tel Aviv-based team and help shape our Large Language Model (LLM) capabilities. In this pivotal role, you will immerse yourself in the world of Large Language Models, diving deep into their intricate mechanisms and potentials. Through your work in shaping prompts and refining conversational AI performance, you'll play a crucial part in elevating the hiring experience for millions worldwide., you'll find an opportunity to explore the exciting frontier of conversational AI, directly influencing its evolution and application. Join us on this transformative journey and let's redefine the landscape of recruitment technology together!

Sound like your perfect fit? We want to hear from you!

As a Prompt Engineer, you will be responsible for developing and refining Large Language Model (LLM) prompts to strengthen and scale conversational AI capabilities. In this role, you will:

Dive deep into the potential of Large Language Models (LLMs), specifically aiming to enhance the conversation quality of our AI-driven hiring assistant. Experiment with different techniques and methodologies to optimize the interaction between users and AI.
Craft, test, refine, and optimize prompts to effectively communicate with existing AI models, aiming for improved clarity, efficiency, security and user satisfaction.
Implement and assess practical applications of LLM research findings in user-facing applications, creating scalable, impactful tools.
Develop scalable testing methods for LLMs, allowing for rigorous and systematic evaluation of different models, parameters, and techniques.
Work closely within our global R&D team to drive the evolution of prompt strategies, fostering a collaborative and innovative environment

We're looking for highly talented, experienced, passionate, and data-driven Senior Data Scientists.
Create and develop ML models to drive the company forward and support decision making; while using data driven insights about our product, customers, business goals
Work in a team and independently, understand business requirements and how they relate to and support business KPIs.
Research creative data-driven ways to solve challenging real-world business problems
Design, establish, maintain and evolve the companys machine learning (ML) models
Develop production-level, scalable ML pipelines and models
Collaborate with analytics, business and data engineering teams and bring a proactive approach to handling anomalies and abnormal behavior within our DWH
Use your background in predictive modeling, advanced statistical analysis, ML practices and techniques and time series modeling to build new features and products.

Our R&D and Innovation Center is looking for a Data Scientist
We are seeking a seasoned Data Scientist with a strong background in optimization and Bayesian methods. The ideal candidate will have a deep understanding of data science principles, machine learning, and statistics concepts.
The Product:
ConvergeCONSUMER is a solution designed to help businesses understand and predict consumer behavior. It combines customer data, next-generation technology platforms, AI, and machine learning to predict consumer demand.
The solution leverages decades of experience in the consumer sector to drive value for clients. It helps businesses understand their customers' spending behaviors and preferences by combining CRM data with external data.
In this role you will:
Apply data science techniques and build high quality predictive models.
Leverage optimization/Bayesian methodologies to solve complex business problems.
Utilize programming and database languages.
Address real-world analytical problems using machine learning, statistical modeling, or similar quantitative approaches.
Develop and deploy models in cloud-based ecosystems such as GCP, AWS, or Azure.
Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
Full time Job
Location: Tel Aviv, Hybrid.

* We are developing a cutting-edge promotion operating system that helps brands manage, analyze and optimize their promotional spend. Our system uses Causal Machine Learning to analyze the incrementality of promotions and help our customers optimally invest their promotion budgets.
* We believe causality is the best way for companies to act on their data. If you do too, you might be a good fit!
Responsibilities
* Analyze raw event data, decide which data is desirable, and structure the data in a useable way
* Create data transformations that are easy to consume in real time
* Build real time and batch prediction models using Causal ML for users incremental lift
* Design complex experiments that TEST reactions to different treatments
* Collaborate with engineering team to bring Machine Learning models to production
* Generate actionable insights for our customers
* Suggest potential areas of explorations based on business impact