Mid-Senior
Job Description:
● You will be responsible for developing new algorithms to solve exciting computer vision
challenges reducing our customers manual work, from survey analysis to flying drones
● To solve these challenges you’ll need to combine approaches from multiple disciplines:
Deep Learning, object detection and classification, photogrammetry, 3D mapping,
geometry, image processing, optimization algorithms and more.
● Your work will range from early research and feasibility studies, through algorithm
definition, software implementation and integration to getting feedback from the field and
improving performance in the real product
● You will team up with an agile team of experts working in cutting edge software
development methodologies, to deliver quality software to our customers
Requirements:
● M.Sc / PhD in Electrical Engineering or Computer Science
● At least 5 years of professional experience developing computer vision algorithms
● At least 3 years of hands-on experience programming in C++/Java/Python
● At least 3 years of experience with deep learning for computer vision problems
● Hands-on experience with the following: Tensorflow/PyTorch/Keras and OpenCV
● Experience in delivery and maintenance of algorithms to real products
● Can work independently under loose guidance
● Business-fluent English Nice to have
● Experience with GIS, photogrammetry and 3D mapping algorithms
● Extra bonus: love drones
Senior Data Scientist
About Us
Riskified is the world's leading eCommerce fraud-prevention company. We use cutting-edge technology, machine learning algorithms, and behavioural analytics to outsmart eCommerce fraud and help our merchants grow. Riskified has reviewed hundreds of millions of transactions and approved billions of dollars of revenue for merchants across virtually all industries, including a number of Fortune 500 companies.
About the Role
The Core Data Science team is responsible for the core algorithms and models used at Riskified. Data scientists in the team use a wide variety of advanced techniques to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory and more). In addition, the team designs and develops the model training framework, which is used by other teams to train and evaluate machine learning models at Riskified.
As a senior data scientist in the core data science team, you will develop the next generation of algorithms designed to help the company battle fraud, be a professional focal point for other data scientists, stay on top of new methodologies and algorithms.
What You'll Be Doing
- Initiate, design and develop the algorithms that will leapfrog the company with the next generation of fraud solutions
- Collaborate with research teams to provide innovative solutions to teams across the company
- Mentor our great team of data scientists
Qualifications
- 5+ years experience as a data scientist, applied researcher or similar in the industry
- MSc (PhD – advantage) in computer science, mathematics, physics or similar
- Expert in ML techniques – hands-on & deep theoretical background, including: regression, classification, clustering and other non-supervised methods, imbalanced data sets
- Hands on & theoretical expertise in at least one of the following: NLP, Deep Learning, Time Series Analysis, Graph Theory
- 3+ years hands on experience in R and/or Python
- Knowledge in statistical tests
- Excellent communication skills
- Amazing team player & fun to work with
- Startup experience – advantage
Data Scientist
We are Via – Ride with us!
Via is developing the operating system that manages and controls shared mobility at scale.
Our platform provides many millions of rides to consumers in NYC, Chicago, Washington DC, London, Berlin, Amsterdam and many more locations.
We are helping cities transition their bus systems from rigid lines and fixed schedules to on-demand networks of dynamic shuttles.
Our Tel-Aviv office is full of passionate and innovative professionals who love working together to make something great. If you are up for a challenge and have a true desire to make an impact – Come ride with us!
The Position:
We are looking for a Data Engineer to join our R&D center in TLV.
The position is to be part of a Development team responsible for Via’s mission.
As a Data Engineer you will help enables mass-scale, highly complex and data intensive operational service alongside cutting-edge algorithmic and analytics research for our full scale, multi location ride sharing service.
Responsibilities:
- Defining and implementing effective data scaling infrastructure solutions based on best-in-class standard tools.
- Driving speed, simplicity and robustness in production deployments.
- Implementing data-rich system components at the core of system scaling.
- Designing the ETL procedures to transform the concepts you design into reality.
Requirements:
- BSc. Computer Science/Software Engineer/ Industrial Engineer-Information Systems or similar
- 4-5 years of professional experience
- Have a solid background in databases, data warehouses and at least one object oriented programming language.
- Are familiar with cloud-based deployment (AWS or other platforms).
- Fast learner: you can quickly master concepts, disciplines and methods.
- Team worker: you understand the goals of the team and work towards them.
- Pragmatic: you hear about a difficult problem and are able to transform it into a simple one (or more) that you can easily solve.
- Concise: you get stuff done, in a simple, elegant way.
IBEX is developing state-of-the-art artificial intelligence applications for cancer diagnostics. Our cutting-edge deep learning and computer vision technology is transforming the diagnosis of cancer, leading to rapid and accurate decision making and providing new diagnostic insight to improve patient outcomes and quality of life.
We've recently locked series A which brings our funding to $13.6M, and we plan to enforce our R&D with exceptional engineers to take our platform and algorithms to the next level.
This is a unique opportunity to use your technological abilities in order to save lives, literally.
Job description:
We’re looking for experienced top-notch Data Scientists and Machine Learning experts to help us build and improve our core algorithms and to develop novel cancer diagnostic tests. In this role, you’ll work on huge, unique datasets of high-resolution pathology images and clinical records from leading institutes worldwide, develop and optimize AI-based solutions for complex problems using cutting-edge technology, integrate your algorithms into our products and receive feedback from clinicians using them in live clinical settings, and work closely with our multi-disciplinary team of Machine Learning experts, experienced software developers and medical professionals.
Requirements:
- PhD or MSc in Computer Science or relevant discipline
- Deep knowledge of algorithms, statistics and Machine Learning
- At least 5 years of industry experience, working on large-scale projects
- Ability to design and develop production-level code
- Experience with at least one of Python, Java, C++
- Experience with Deep Learning and/or Computer Vision – an advantage
Applied Data Scientist
DESCRIPTION
ThetaRay is looking for an Applied Data Scientist for 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 Applied Data Scientist will work closely with ThetaRay’s Product Management, Algorithm, Engineering and Customer Success teams.
Key Responsibilities
• Deliver successful deployment and Pilots
• Manage and design the Customer-specific technical solution throughout the project life cycle.
• 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 Product Management team
• Train the customers on the system – system usage and monitoring aspects.
• Willingness to travels 30% abroad to customers as needed
REQUIREMENTS
Requirements:
• Must have proven professional experience in data analytics for financial services with strong data mining and forensic skills
• Experience working with customers. Advantage – financial customers
• Must have Hands-on experience and knowledge of scripting languages: Python/PySpark
• Hands-on experience using Big Data and statistical analysis tools such as Hadoop/Spark , SQL, and Matlab
• Working experience with Linux OS (Redhat/Ubuntu).
• Excellent English (speaking, presenting, reading)
Core Competencies
• Able to solve tech problem for customers; improvise; cope with unexpected challenges
• Able to drive relevant internal functions to deliver/solve a problem for customers/partners
• Ability to design creative solutions for complex requirements
• Ability to learn independently and to work with minimal supervision at customers’ sites
• Strong interpersonal relationship building
• A motivated, self-starter who can demonstrate above average analytical and technical skills
• Ability to execute multiple projects and drive key business results under tight deadline.
Data Scientist
Data Scientist
Bigabid is a fast-growing startup founded in 2015 by an experienced team of serial entrepreneurs and backed by some of the most prominent angel investors in Israel.
One of our goals at Bigabid is to disrupt the $200B App Marketing industry with an innovative User-Acquisition and Re-engagement platform powered by machine learning.
We use a wide range of state of the art ML techniques to analyze TBs of data and profile hundreds of millions of users through multiple proprietary data sources.
We are looking for an experienced Data Scientist, who is passionate about exploring complex data sets, drawing meaningful insights from such analysis and building high quality data products.
Responsibilities:
- Analyze huge amounts of complex data to identify meaningful patterns and build useful features for machine learning models.
- Perform analytics and develop models using diverse data sets.
- Build predictive models using advanced ML techniques.
- Apply scientific method to design, create, tune, and interpret machine learning models.
- Write production code in python and Spark.
- Design and execute tests to derive insights.
- Perform data manipulation, validation and cross-domain researches.
- Come up with new and creative research ideas and insights.
- Collaborate with product and engineering teams to solve problems and identify trends and opportunities.
Qualifications:
- At least 3 years of work experience in industry building predictive models using ML techniques.
- Strong critical thinking and analytical skills.
- High level scripting and programming skills preferably with Python/Scala.
- At least BA/BSc degree in a quantitative discipline such as computer science, statistics, economics, bioinformatics, information systems etc.
- Troubleshooter, problem-solver who knows how to navigate trade-offs.
- Excellent communication skills.
- Advantages –
- Work experience as a data analyst.
- Experience with machine learning models.
- Experience with Spark and the AWS stack.
Ready for the challenge?
Contact us: adi.r@bigabid.com
Senior/Mid Data Scientist
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
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.
Data Science Team Lead
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
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
