לוח משרות דרושים Data Scientist בתל אביב יפו

Responsibilities:
Working on projects across multiple DS disciplines (Tabular datasets, Vision, NLP, Bayesian modeling, etc..).
Apply complex analytical techniques to derive actionable insights.
Converting business needs into working data science projects (Identifying problems and providing solutions from ideation to deployment).
Conducting research and implementing new initiatives.
Working closely with our product, analysis, data and development departments.
Designing and Creating machine learning and DS pipelines used to ease, enhance and automate analysis tasks.
Optimizing and improving existing ML/DL models and pipelines.
Working with big data (BigQuery, SQL).

Roles & Responsibilities:
Identify valuable data sources and automate collection processes.
Undertake the preprocessing of structured and unstructured data.
Analyze large amounts of information to discover trends and patterns.
Build predictive models and machine-learning algorithms.
Propose solutions and strategies for business challenges.

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.

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

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.

We are seeking a proficient Data Scientist-Freelance. The role involves crafting and refining strategies for data handling and analysis, developing predictive models, and deploying a batch pilot system. The candidate will play a crucial role in interpreting complex data patterns and translating them into actionable insights.
Location: Tel Aviv
Scope: 2-3 days per week, at least 2 days in the office
Responsibilities:
Lead data collection, ensure dataset completeness, and prepare data for analysis.
Create and enhance data analysis methodologies for a tailored recommendation engine.
Build and refine predictive models using statistical and machine learning techniques.
Extract insights from data, and compile reports on findings and system performance.

We're looking for a dedicated Senior Data Scientist to join our office in Tel Aviv to be a key player in success.

On the day-to-day, you will analyze large amounts of information to discover trends and patterns in the beehive regarding hive state, health, nutrition, and much more.

You'll be alternating between individual projects and team efforts, and you will:

Plan bee-hive and crop-pollination in-field data acquisition

Build predictive models and algorithms from this data

Develop processes and tools to monitor and analyze model performance and data accuracy.

Most importantly, work in an accepting community full of creative, fun-loving individuals such as yourself, and immerse yourself in the enchanted world of honeybees.

As a Data Scientist, you will report to our Senior Director of Data Science.
Typical responsibilities include designing efficient data science/ML/AI/statistical algorithms that leverage our homomorphic encryption or other private preserving technologies including federated learning, confidential computing, and more.
You will develop prototypes of your design and will work with our engineering team to integrate
solutions into a production privacy-preserving analytics product. You are expected to work closely with our crypto and software engineering teams. In this position, you must work independently and show creativity, problem-solving, and a can-do attitude.
The position is based in the Tel Aviv area.

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.

data Scientist| Tel Aviv, Israel | Hybrid
Join a leading IoT Connectivtity company looking for a data Scientist with a background in:
* data Scientist or similar role.
* Knowledge of ML/AI & deploying predictive modeling solutions.
* Experience with Python & frameworks such as tensorflow, sci-kit, etc.
This role is Hybrid in the Tel Aviv.

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

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

Were looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Key job responsibilities:
* Collaborate with ML scientist and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges.
* Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production.
* Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder.
* Provide customer and market feedback to Product and Engineering teams to help define product direction.

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