לוח משרות דרושים Data Scientist בתל אביב יפו

We are looking for an experienced, independent team player who has great computer science & data skills, a passion for data, and excellent analytical and algorithmic skills. The main target of this position is to enhance our operation capabilities, specifically in customer efficiency. The work requires an excellent understanding of data, searching insights in data, and constructing algorithms to learn from data, inferring conclusions, and creatively offering solutions based on data analysis. Our Data Science team is part of the R&D group, so you will work closely with engineers and product managers as well.
Responsibilities:
Developing data-driven products that are used to make operational and business decisions across the company.
Analyzing data for performance assessments and monitoring
Exploring and initiating services that are based on state-of-the-art technologies to serve our fast-growing needs.
A good understanding of machine learning algorithms is required, which may include classification, ranking, and reinforcement learning.

We are looking for a Data Scientist to join our R&D team. To become part of our journey in helping digital publishers and businesses improve their business growth, empowering meaningful interactions across their digital assets, generating an undeniable increase in revenue, user engagement, conversions, and overall performance.
Build the next generation of ML algorithms for Focusing primarily on recommendation engines, utilizing NLP and deep-learning techniques for performance optimization.
Lead the architectures research, modeling, design, and development to run at scale.

The Data Integration Engineer is a position that brings with it an excellent opportunity to learn and grow within a rapidly expanding company on the cutting edge of Martech.
Responsibilities:
​Develop and support a wide range of data transformations and migrations
Construct custom ETL processes: Design and implementation of data pipelines and data marts, access versatile data sources, and apply data quality measures
Investigate data mismatches and apply solutions
Work side by side and support the Data Science and Customer Success teams in order to meet customer business needs.
Interact with clients to understand business needs and collaborate on project scopes, planning, and execution.

As a Data Integration Groups manager, you will oversee a strong energetic, and fast-growing global team.
Responsibilities: 
Provide direct leadership to several (3 or 4) Team Leads, managing about 20 talented data Integration engineers. Ensuring they are given clear direction, that they have the necessary technical and professional skills to succeed, and are in an environment in which they can deliver their best work.
Provide hands-on leadership, mentorship, and coaching in the day-to-day delivery of work. That means helping the team leads and their team plan their work, and providing proactive support for both technical and managerial aspects.
Lead the ongoing development, distribution, and application of data engineering best practice and tools, including automation and scripts to reduce manual/ bespoke work, across the Data Integration team
Develop strategic relationships with internal clients and partners (CSM team, Tech Org), take the time to develop a deep understanding of their requirements, and partner with them on data integration decisions.
Support your team and the CSMs with clients discussions and escalations related to the teams domain of expertise, planned and ongoing projects, incidents, etc.
Provide thought leadership in the space of data engineering, lead our relationship with key technology partners, and ensure we are continually evolving the way we operate to take advantage of industry developments.
Partner with HR teams to attract, motivate and develop an exceptional and diverse talent base.
Be part of Delivery Data & Tech practice leadership, nurturing strong, open, and collaborative relationships with other specialist teams.

We are looking for Protocols Researcher.
RESPONSIBILITIES
You will be a part of the Research Team in the Asset-Visibility group.
The team is responsible for analyzing highly complex, proprietary, and open file and network protocol formats to allow asset discovery.
Innovating by creating means of active asset querying and discovery,
Write production code in C++ / Python that implements the analysis.
Creation of a proper research environment in our state-of-the-art OT lab.
Publishing blogs and reports.

What will you do?
You will build a variety of models to analyze millions of videos and images every day across the web, Smart TVs, YouTube, Facebook, Twitter, Instagram, TikTok and more to detect the content categories they are about.
You will work with huge scales, in a cutting edge environment with a superb team, building advanced ensembles of models.
Your work will help advertisers avoid negative or irrelevant content, and target the type of content that is most relevant to their brand, by doing that you help them feel comfortable to invest their money in online free platforms and keep the web free for all.

Our company is a pioneer of advanced technology that provides risk intelligence for global enterprises.
We use artificial intelligence and machine learning modeling to crawl millions of domains and give our clients full visibility, insight, and understanding of the internet.
We shine a light on hidden merchant risk and reveal new opportunities to help businesses grow.
About the role:
Our company is looking for a passionate and experienced Data Scientist to join our growing DS & AI team.
If you are a business value-oriented, passionate, hands-on, can learn and adjust quickly, with a start-up mentality come and join us.
The DS & AI team is developing our core risk detection capabilities, identifying bad actors, and structuring heavily unstructured data (i.e. the internet) using machine & deep learning models, NLP, text & image, and many other approaches, all aimed to help our customers reduce their risk.
Responsibilities:
Youll take end-to-end ownership of DS projects, including EDA, data collection definitions, model training, architecture and parameters/features optimization, performance evaluation, and ongoing monitoring, bringing value to our customers.
Youll continuously explore state-of-the-art machine and deep learning algorithms that can be harnessed to improve performance, develop prototypes and execute experiments, all oriented towards improving performance KPIs.
Youll be working closely with software engineers, data and business analysts, and product managers to build products our customers love and align with our business.
Youll contribute to the ML infrastructure developed by the team for better automated processes all through the models lifecycle.

What will you do?
You will build a variety of models to analyze millions of textual data points every day across the web, Smart TVs, YouTube, Facebook, Twitter, Instagram, TikTok and more to detect the content categories they are about.
You will work with huge scales, in a cutting edge environment with a superb team, building advanced ensembles of models.
Your work will help advertisers avoid negative or irrelevant content, and target the type of content that is most relevant to their brand, by doing that you help them feel comfortable to invest their money in online free platforms and keep the web free for all.

Our company is a pioneer of advanced technology that provides risk intelligence for global enterprises.
We use artificial intelligence and machine learning modeling to crawl millions of domains and give our clients full visibility, insight, and understanding of the internet.
We shine a light on hidden merchant risk and reveal new opportunities to help businesses grow.
About the role:
Our company is looking for our Head of Data Science & AI to join the growing department of Core Engineering, Data & AI Department, reporting to the departments head (Director).
If you are a strong DS leader & manager, focused on how to leverage algorithmic technologies that aim at business value, passionate about impact as well as learning SOTA in the DS & AI domains, can go up to the birds view while also developing her hands-on skills, can learn and adjust quickly, with a start-up mentality well be happy tohave you onboard want you join us.
The DS & AI team is developing our core risk detection capabilities, identifying bad actors and structuring heavily unstructured data (i.e. the internet) using machine & deep learning models, NLP, text & image extraction and many other approaches, all aimed to help our customers reduce their risk.
Responsibilities:
Define the data science methodologies and best practices and enforcing its practice
Introduce new algorithmic/DS methodologies, technologies and SOTA algorithms that can make a positive impact on our product and the way we develop new products
Develop POCs of new technologies/algorithms together with the DS in the squads
Be the professional home to our DS - coach, mentor, plan and monitor their personal development
Work with the DS hands-on on a need-to-go basis per quarter to deliver new solutions to production
Lead and be part of new Data Exploration efforts towards improving business KPIs (e.g. enrichments)
Lead and set requirements for data annotation initiatives, feedback loops and active learning
Lead and set requirements for new Data Products, Data Services and ML Flow design (feature extraction & feature stores, Model deployments and MLOps, Data Model)
Make sure knowledge is improved and maintained within the DS professionals (paper reviews, conferences)
Monitor and report quality KPIs on a weekly basis, to help our DS and teams decide where should focus on
Influence on the companys workplan to meet its quality KPIs
Recruit and train new DS, letting go when required

We are looking for a talented Data Scientist to join our creative and experienced Research team. In this critical role, you will have access to vast amounts of network traffic data and lead the application of data science to security and networking challenges. Utilizing Cato Cloud data warehouse, you will develop new models and algorithms to protect Cato clients worldwide. This is a great opportunity to join a Cloud Network & Security Rocket Ship and take part in the SASE revolution.



This is your opportunity to get on the rocket ship, and join a company that is building a cutting-edge enterprise network and security cloud platform, and is on a fast track to becoming the worldwide market leader dont miss it!

Responsibilities
Use your analytical skills to perform exploratory analysis, mine insights, and find opportunities in global backbone handling dozens TBs of inter-intra organizational data.
Develop machine learning models, algorithms and build highly scalable solutions to Ω cybersecurity challenges. For example: design models that accurately detect malicious activity in the network
Design and architect new capabilities and features to the platform working closely with our engineers and product team to implement your solutions.
Take initiative - play with the data and find new ways of creating value for customers.

Required Data Scientist
JOB ID-17067
Your Impact & Responsibilities-
Join the research and development of new innovative capabilities for cyber security, involving advanced AI and Algorithms.
Quickly iterate on design approaches and POCs based on data-driven research and user feedback.
Design and develop a novel data-driven solutions that have the potential to deliver game changing results involving advanced AI and Algorithms.
Enjoy the work and knowledge of Cyber Researchers, Analysts, Fellow programmers and Data-Scientist to deliver machine learning and analytics solutions.
Push the solutions all the way to a large scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.

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 Microsofts 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 within Microsoft.
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. 
Job number 1384854.

Required Data scientist
Job Id: 16815
Your Impact & Responsibilities
As a Data-Scientist youll:
Design and develop a novel data-driven solutions that have the potential to deliver game changing results involving advanced AI and Algorithms.
Push the solutions all the way to a large scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.
Enjoy the work and knowledge of Cyber Researchers, Analysts, Fellow programmers and Data-Scientist to deliver machine learning and analytics solutions.
Youll enjoy:
A fun environment where work-life balance is valued.
Exploring THE BEST Cyber Security Data source to be found.
Working in a start-up environment within a corporates stability.
Sharing your day with fun, passionate, brilliant people.

Education: B.Sc. in Electrical Engineering/Computer Science
Requirements:
" Hands on experience in execution and optimization of neural networks.
" Experience in developing using AI frameworks such as Tensor Flow, PyTorch and/or Caffe2.
Experience in data pre-processing.
" Experience in HW/SW design is an advantage.
" Knowledge in storage systems (NAND flash, FTL) is an advantage.

"You'll take end to end ownership of DS projects, including EDA, data collection definitions, model training, architecture and parameters/features optimization, performance evaluation and ongoing monitoring, bringing value to our customers
" You'll continuously explore state-of-the-art machine and deep learning algorithms that can be harnessed to improve performance, develop prototypes and execute experiments, all oriented towards improving performance KPIs
" You'll be working closely with software engineers, data and business analysts and product managers to build products are customers love and align to our business
" You'll contribute to the ML infrastructure developed by the team for better automated processes all through the model's lifecycle.