Mid-Senior

Job description

Major Responsibilities

This is a unique opportunity to be a member of a growing DS team within Check Point, a large, profitable and fast growing company, located in Tel-Aviv.

Check Point is widely recognized as the leading global security vendor, the Data Science team utilizes large scale analytics, machine learning, data mining, and other advanced technologies.

Responsibilities

 

Design and develop a novel data-driven solutions that have the potential to deliver game changing results.

  • Join the research and development of new innovative products and capabilities for cyber security, involving advanced AI and Algorithms.
  • Quickly iterate on design approaches and POCs based on data-driven research and user feedback.
  • 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.

 Desired Background

  • At least 4+ years of relevant experience and track record in Data Science, Algorithms and ML
  • MSc or PhD degree in CS or any related Computational field (Information systems, Statistics, Bioinformatics, Engineering, etc.)
  • Research background, ML & algorithms, Statistics and Probability.
  • Experience in R, Scala, preferably Python with the focus being on statistical algorithms development.
  • Ability to work as part of a team in collaboration with subject matter experts.
  • Proven ability to build and deliver data solutions in a short time frame.
  • Active Github, Kaggle member – an advantage.
  • Cyber security background – an advantage.

Senior Data Scientist

MarketBeyond

Our engineering team is passionate about creating truly innovative products to the market, to build something, which solves a big problem in a way never done before. As a data scientist at Market Beyond, you will be responsible for driving innovation by designing new algorithms to help optimize online retail operations. You will collaborate with a talented and agile team of engineers building the next generation of retail optimization based on machine learning. You will be exposed to scale of data, and use state-of-the-art machine learning and neural network algorithms that will push the boundaries of innovation in the online retail space.

We’re looking for an experienced and enthusiastic candidate to come and lead our data science/modeling. We embrace constant innovation, open communication and intense creativity. Our employees are energetic, ambitious and thrive in a dynamic environment.

Responsibilities 

Develop novel statistical / machine learning approaches to real world, large scale problems

Work with massive scale retail data sets to derive statistical insights and develop innovative algorithms to productize these insights

Requirements

MSc / PhD in Computer Science, Electrical Engineering, Operations Research, Statistics, Mathematics, or related

4-5 years of experience developing scalable machine learning solutions with high availability, internet-scale big data infrastructures

Proficiency with the Python programming language

Team player with a positive attitude

About Market Beyond

Market Beyond provides Fortune 500 companies with actionable, real-time, product level insights to increase market share. Market Beyond’s platform leverages machine learning, big data and uses e-commerce intrinsic technologies to provide the deepest most accurate insights from billions of shopping journeys across the e-commerce landscape. Our unique technology uses advanced Machine Learning and AI to correct inefficiencies in pricing models, website traffic and conversion factors, thereby ensuring growth by shoppers, revenue and market share.

At K, doctors, mathematicians, data scientists, algorithm developers, and engineers work together to create medical models and applications that are changing the way healthcare works.

We are looking for an experienced and enthusiastic data sciences expert to come and lead our data science/modeling team.

As our modeling leader you will own, along with our medical experts, the planning, management, research, auditing, and productization of our medical diagnostic and decision models, based on an unparalleled set of historical structured and unstructured medical records.

Your position will include hands on algorithmic/data science challenges, short and long term project and product leadership, mentoring and advising to our senior and junior data scientists, and creating a lasting and fruitful relationship with the ML health community in israel and abroad.

Computer vision-TL

Magic Leap

Computer Vision Team Leader – Tel Aviv, Sarona Office

Job Description:

Research and develop state of the art Image processing and Computer vision algorithms. Responsibility for a complete development cycle: from the early stages of problem analysis and target definition, through the research, design, implementation and productization stages. Your responsibility will be to lead, direct & manage a group of CV engineers throughout the entire development cycle.

Requirements:

  • M.Sc. or Ph.D. in exact sciences (Computer Science, Electrical Engineering, Physics, Mathematics). Ph.D. preferred.
  • At least 5 years of experience in researching and implementing computer vision algorithms, with direct focus on 3D / SLAM / Surface Reconstruction.
  • At least 3 years of experience in CV/algorithms team management
  • Knowledge in SCRUM / agile methodologies
  • Experience in Matlab/Python and C++ algorithmic development
  • Independent thinker and open-minded
  • Team player – a must!
  • A technical leader in his/her field(s)

Advantages:

  • Experience in depth analysis, segmentation, and tracking
  • Experience in C++ Real-time algorithms development
  • Background in statistics / signal processing
  • Deep learning knowledge in the field of computer vision

Agilent Research Laboratories is seeking an enthusiastic, experienced and skilled scientist to work in Petach Tikvah, Israel, as part of an international, innovative multidisciplinary team developing next generation technologies for life science research and diagnostics. The focus of this position will be developing novel machine learning approaches and algorithms for accurate analysis and interpretation of high volume measurement data, including high resolution microscopy images.

Requirements

  • MSc/PhD or equivalent research experience in Data Science, Computer Science, Electrical Engineering or similar field.
  • Advanced knowledge of statistics and numerical/computational methods.
  • Demonstrated expertise in developing novel machine learning approaches
  • Expertise in deep learning framework such as TensorFlow or PyTorch
  • Fluency in Python, or MATLAB.

Advantages:

  • Experience in Computer Vision
  • Expertise and hands-on experience in Cloud computing, GPU computing
  • Strong track record of innovation and scientific contribution as shown by peer-reviewed journal publications

Please send your CV to amir_ben-dor@agilent.com, or shanny.benmenahem@non.agilent.com

Overview

Come join the Intuit Risk and Fraud Scrum Team as a Software Engineer. Innovative and passionate team of engineers using cutting edge technologies, like Docker, Kubernetes, AWS, Graph DB, Advanced queue solutions etc. You will be developing high volume transactional services that are part of Intuit’s Service Oriented Architecture strategy. Our risk engine is responsible of processing millions of transactions a day to prevent different risk and fraud scenarios. You will work closely with risk and fraud analysts, data and ML developers. You will utilize your skills to help develop and maintain critical back systems through asynchronous and synchronous processing.

Responsibilities

  • Participate in the agile feature/product design process working with cross-functional teams including: Product Management, Experience Design and Operations
  • Strong leadership and communication skills and ability to work well in a team. Collaborate with other engineers to share best practices and knowledge of emerging technologies
  • Engage with customers to get a first-hand understanding of their needs
  • Design and rapidly prototype proposed solutions
  • Implement features, products, and enhancements that improve the user experience
  • Production support involved with monitoring production systems and remediating issues
  • Perform and participate in peer code reviews
  • Write domain specific automated unit tests

Qualifications

  • Bachelor or Master degree in computer science or a related technical field or comparable experience
  • 5+ years’ experience in one of the following Java, C#,C++
  • System design experience
  • Object oriented design and development experience
  • Ability to read and analyze existing code
  • Experience with Spring boot or Spring framework – an advantage
  • Experience with RDBMS and ORM technologies
  • Self starter with strong work ethic with a passion for problem-solving
  • Experience with messaging frameworks as Kafka or RabbitMQ a bonus
  • Experience in SAAS development environment desirable
  • Experience in AWS a bonus

Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.

Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.

Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com

Data Scientist, Growth

Next Insurance

Next Insurance is a well-funded post-Series -B startup based in Palo Alto, California with offices in Kfar Saba, Israel. We are revolutionizing the insurance industry by providing small businesses with simple, affordable, tailored insurance coverage by optimizing innovative technology and data science for a superior customer experience.We are looking for a driven Data Scientist to help us bring machine learning to the insurance industry. You will enable us to make the best use of our proprietary data to optimize our growth operations. As a data scientist at Next Insurance, you will work on a wide range of projects, building predictive models of customer behavior and performance (LTV, churn, conversions, etc.). You will report directly to our Head of Data Science and will work closely with both the VP of growth and our product and BI teams.

Responsibilities

Research, develop and evaluate predictive models

Iterate and pivot quickly to deliver MVP solutions

Understand the data and dig deep to extract actionable insights

Clearly communicate findings to team members and design A/B tests, and deployment strategies

Design and develop functional monitoring dashboards to improve growth operations

Think creatively and outside the box to answer desired experimental questions

Work cross-functionally with engineering, product, marketing, business intelligence, insurance operations, customer support, senior management, and external partners

Desired Skills and Experience:

3+ years of hands-on experience in machine learning/data science

Previous experience in a similar and relevant role, analyzing data in the following domains:

  • User acquisition
  • Conversion and funnels
  • User behavior and performance
  • Attribution and prediction models

MS/PhD in Computer Science, Statistics, Applied Math, or related areas

Strong SQL querying skills

Experience in writing both agile exploratory analyses, as well as production-level code in a fast-paced environment

Ability to communicate the results of analyses clearly and effectively in English

Fluency with an analytical programming language (preferably python) and the standard numerical packages

Experience with BI development and technologies (relational / columnar / graph databases, visualization tools such as tableau, aws products, etc.) is a plus

Some flexibility with hours, as the role involves a lot of work with the US

Data Engineer

Actiview

Data Engineer

The Role:

You will take a critical role in our product’s data pipeline and prepare the data infrastructure to be analyzed by our excellent Data Scientists. You will build complex data structures and make sure it is easily accessible & works smoothly in order to optimize the performance of Actiview’s data ecosystem.

You will:

  • Design, construct, install, test and maintain highly scalable data management system
  • Work closely with Actiview’s technical leads & team to understand the overall client requirements, technical requirements and constraints.
  • Develop data set processes for data modeling, mining and production
  • Employ a variety of languages and tools (e.g. scripting languages) to assemble systems together
  • Ensure system meets business requirements and industry practices
  • Integrate new data management technologies and software engineering tools into existing structures
  • Create custom software components (e.g. specialized UDFs) and analytics applications
  • Implement high-performance algorithms, prototypes, predictive models and proof of concept
  • Recommend ways to improve data reliability, efficiency and quality

You have/are:

  • 2+ years Software Development experience in Python
  • Experience with at least one RDBMS (MySQL, PostgreSQL, Oracle, SQL Server etc.)
  • Experience with scalable data management systems
  • BSc. degree in a relevant field

The Team

The founding team are Experienced Entrepreneurs, ex-navy that Specialized in operating unmanned naval surface vehicles.

Orca has strong connections with the maritime domain, with the help of strategic partnerships and great investors.

Responsibilities

As a deep learning researcher, you will create, train and deploy novel deep learning algorithms, use computer vision skills for tackling hard "real world" weather conditions, perform hands-on rapid prototyping and have immense impact on the product.

Qualifications

B.sc / M.sc degree or equivalent practical experience.

At least 3 years of algorithm development experience [OpenCV and alike] in the fields of Deep Learning, Computer Vision, or Image Processing.

Ability to implement, train and deploy different types of DNN models with ease

Prior experience with python using a popular deep learning framework [TensorFlow / Pytorch / Keras / Caffe], with projects targeting vision / DSP

Knowledge with data pipelines, preferably oriented to vision projects

Advantages

Automotive or drone industry experience

Research to Production code capability

AWS experience [sageMaker / Glue / S3 / EC2]

SLAM knowledge

If you're looking for a real "Blue Ocean" domain to disrupt, perform experiments on ships, and have a great time, contact us!

Algorithm Engineer

RSIP Vision

RSIP Vision provides Computer Vision and Image Processing consulting and algorithms for the broadest range of activity sectors: from precision agriculture to medical applications (cardiology, pulmonology, ophthalmology); from robotics to self-driving cars; from microscopy image analysis to OCR, semiconductors, classification and all kind of machine learning projects.

We are looking for an experienced algorithm engineer to design and implement algorithms for the most challenging tasks in the fields of computer vision (object detection, recognition, tracking, 3D segmentation, etc.) and deep learning, in collaboration with a multi-disciplinary team.

Requirements:
• M.Sc. or PhD. in Computer Science, Physics, Mathematics, Engineering, or a related field from a known university
• At least 3 years of algorithm development experience in the fields of Deep Learning, Computer Vision, or Image Processing.
• At least 5 years of software development experience.
• Ability to manage multiple tasks and prioritize work accordingly.
• Strong mathematical skills.
• Ability to quickly grasp a large existing codebase in Matlab, Python, and C++.

Advantage:
• Experience in developing models using deep learning techniques and tools, such as TensorFlow, Keras, etc.
• Experience leading a software development team.
• Knowledge and experience with OpenCV, MKL, ITK, VTK.
• GPGPU, specifically CUDA.
• Strong understanding of OO design concepts with proven experience.

Be ready to make a difference and join us at RSIP Vision!

Please send your CV to jobs[at]rsip.co.il (with reference EAE)

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