We are looking for a Principal Data Scientist to join PayPal’s Global Data Science team in Tel Aviv. Our team’s goal is to provide the best data science solutions to prevent fraud from entering our eco-system through onboarding and lifecycle management while optimizing the business outcomes and customer experience. These solutions affect PayPal’s entire population of users and transactions, and directly contribute to PayPal’s financial performance.

Primary Job Responsibilities

As a Principal data scientist your responsibilities will include:

• Research and experimentation with state-of-the-art machine learning algorithms to solve business problems in the fraud prevention domain.
• Mentoring other data scientists in the group. Improving and innovating on our data science practices, methodology and projects.
• Shaping  the business, data science and research directions across several teams as a member of the group’s senior staff
• Contributing to the data science community at PayPal Israel.
• Influencing large scale projects and initiatives to advance our machine learning capabilities.

Requirements

• PhD in Computer Science, Electrical Engineering, Operations Research, Mathematics, Physics, or equivalent, preferably with a focus in machine learning / AI.
• Minimum 5 years of relevant work experience.
• Expertise in machine learning algorithms and tools such as Tensorflow, Keras and Pytorch.
• Expertise in coding in at least one major programming language (e.g. Python, C++ or Java)
• Experience in deploying machine learning products in live production environment – an advantage
• Exprience in MLOps methods – Docker, Kubernetes Etc – an advantage
• Hadoop, Spark, SQL and big data experience – an advantage
• Team player, responsible, delivery-oriented
• High level communication skills
• Excellent spoken and written English

Wizer is a fast-growing startup that harnesses top-notch technology in order to help our customers understand what consumers really want. 

Our unique technology is favored by leading global brands (details on our website), giving them a competitive edge by collecting and analyzing data quicker and simpler. Our Israeli office is located in Poleg (Sapir train station area).

If you love building complex systems while solving real business problems in a dynamic startup environment, this is an excellent opportunity for you. We appreciate work-life balance and diversity.

As a Data Scientist at Wizer, you will design, develop, build and deploy our next generation of data engines and market research algorithms.

Your responsibilities

• Develop Wizer’s augmented analytics platform in an exciting and rapidly evolving domain of market research. This includes a wide variety of research projects using statistical analysis and modeling.
• Design NLP applications while using effective text representations to transform natural language into useful features. Perform statistical analysis of results and refine models.
• Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that include: data gathering, analysis, scaled deliverables, recommendations and presentations to stakeholders
• Develop highly scalable production-grade classifiers and tools leveraging machine learning, data

Requirements

● At least 2 years of practical experience in statistical analysis, machine learning methods and text

representation techniques

● At least 2 years of hands-on experience developing production-grade code in Python (and scientific packages in particular)

● Bachelor degree or equivalent practical experience

● Good understanding of software engineering principles

● Strong analytical skills, excellent problem-solving capabilities and critical thinking skills, while

demonstrated independence

● Excellent spoken and written English

● Team worker, responsible, delivery-oriented

A Plus

● MSc/PhD degree in Engineering / computer science / mathematics / statistics or any other related field

● Experience working following an agile development process using Scrum or some other agile

methodology

● Working knowledge of cloud services (AWS/GCP/Azure)

Taboola, the world’s largest content recommendation platform, is hiring an Algorithm Engineer.

In this job you will:

• Be responsible for the entire algorithmic life-cycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
• Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the company’s revenue
• Work on a daily basis with some of the hottest trends in today’s job market: machine/deep learning, big data analytics/engineering and cloud computing
• Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
• Influence directly on the way billions of people discover the internet
• Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more

Our tech stack:

Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker

About you:

• M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
• Strong knowledge in Python
• Good knowledge in Java, Scala or C++
• Familiarity with statistical modeling techniques
• 3+ years of hands on experience with coding machine learning/statistical modeling based solutions
• Experience in data analysis and visualization and strong knowledge in SQL
• Possess strong problem solving and critical thinking skills

Nice to have:

• Experience in developing models using deep learning techniques and tools
• Experience in developing software within a distributed computation framework

About Cyabra:
Cyabra’s technology filters through social conversations to empower brands and uncover disinformation. Our powerful lens taps into hives of activity that are connected by common interests and passions to provide a deeper understanding of what drives consumers to help brands make smarter decisions.  

Responsibilities: 

• As a Data Scientist, you should love analyzing, mining and doing crazy things with data, and be great at it! Our team is the place where all your analytic skills will come into action.
• You will develop new machine & deep learning and statistical algorithms in a Big Data ecosystem. You will work together with other researchers and Data engineers, and collaborate with the CPO to achieve superior results. 
• On a day to day, some of your responsibilities will include:
  • Building Machine Learning pipelines into production
  • Owning and improving the algorithm and data accuracy
  • Developing novel algorithms and investigating new technologies
  • Explore new data sources and methods supporting the accuracy of the algorithms

Qualifications:

• Over 3 years of experience developing machine learning/image processing/NLP and similar algorithms – Must
• PHD/ M.Sc. in Computer Science/Mathematics/Physics or any other relevant field – Incredible Advantage
• Experience with probability theory and statistics – Must
• Experience with statistical and machine learning tools – Python, etc. – Must
• Experience with MongoDB – Incredible Advantage
• Good coding skills – Cool

Personal Note:

To fit this role, you need a solid background in data science, and to be passionate about what you do (if you apply with the word “pineapple”, we will grant you 2 points in a game of Catan).

You should have a can-do attitude and be willing to take on ownership of the code you write, and be responsible for critical tasks and fixes when they happen, in real-time.

Silverfort is a fast-growing cyber security startup, which provides a unique authentication solution for large enterprises. We utilize Machine Learning algorithms in order to improve our product’s ability to detect and prevent cyber-attacks. Our Data Science team is expanding in order to tackle bigger challenges. We are currently looking for a Data Scientist with vast real-world experience to work with us in our offices in Tel-Aviv.

Responsibilities:

• Developing innovative solutions to complicated classification and anomaly detection problems requiring real time and near real time solutions
• Manipulating and processing large amounts of varying types of data
• Working together with our software engineers, data scientists and product managers to design and implement world class products for our customers

Requirements:

• Bachelor’s degree in Computer Science, Statistics, Mathematics or another related field. Master’s degree, an advantage
• 4+ years of experience in developing and implementing Machine Learning algorithms in the industry or equivalent army service
• Proven Python programming experience
• Experience in the cyber security industry, an advantage
• Experience with AWS tools, an advantage
• A fast learner with outstanding problem-solving skills
• A true team player with strong communication skills

Looking for your next challenge?? 🤩🤩🐘

🌟🌟 BreezoMeter is looking for an Environmental Data Scientist with the creativity, professionalism, and passion to be part of the development of innovative data-driven environmental models and insights’ platform, that impacts the lives of millions of users around the world.

In this position, you’ll be working with exceptional people (including me 😋) in a multidisciplinary R&D team to create inspiring data-driven solutions that you can be proud of.

• Lead cutting edge research in unsupervised learning, reinforcement learning, NLP and other areas. .
• Apply your scientific knowledge to analyse and collect data, identify problems, devise solutions, and construct methodologies
• Discovering and translating business challenges into data-pipelines and model framework.
• Deliver fast while continually adjusting models according to real-time feedback.
• Convey complex analysis results clearly and with conviction to all stakeholder levels

DayTwo is the leading Microbiome-Based Precision Medicine company, developing personalized nutrition, diagnostic, and therapeutic solutions using artificial intelligence and machine learning.

We are looking for an exceptional and motivated data scientist with strong applied and research abilities to join our team.

What you do:

• Apply cutting edge solutions while leveraging our proprietary gut microbiome database, the largest whole genome sequencing based microbiome database worldwide, and its coupled unique dietary behavior datasets
• Develop on-line and scalable models and tools using machine learning, deep learning and NLP techniques
• Build a recommendation system that will drive our nutrition app, providing personalized insights, and suggestions
• Work alongside machine learning experts, technologists, product managers and microbiome researchers from across the organization to solve complex problems
• Write production quality code while implementing your own ideas

Requirements:

• Master’s Degree or PhD in Data Science, Computer Science or Engineering
• At least two years of experience as a data scientist
• Strong knowledge of Python
• Solid background in algorithms, data structures, and programming
• Good understanding of probability and statistics
• Ability to share knowledge and insights with the team and other stakeholders
• Handle tasks with full ownership – from PoC to productization
• Problem solver – Ability to break down large problems into small incremental steps
• Self-learner – Ability to learn new ML concepts and technologies and apply them

A big plus:

• Experience with working on a cloud environment (AWS / GCP)
• Experience with working on an applied recommendations system solution
• Experience with deep-learning libraries
• Experience with SQL and NoSQL databases
• Experience with large scale/ distributed systems in production

Who are we?

Our mission at Webiks is to create powerful, data-driven applications and models that help our clients innovate and grow. We build custom software and custom models for clients from multiple industries, including Defense, Security, Health, and Automotive. We think long-term. Forming long-lasting strong relationships and partnerships with our clients is at the core of our strategy. 

Who you are?

As a Computer Vision Engineer you will have an important role in our Data Science and AI team. You are a Deep Learning enthusiast, with a significant, hands-on, experience with deep convolutional neural networks for detection, classification and segmentation of images and objects. You understand that, sometimes, good old ML modeling and classical image and signal processing techniques are essential, and you enjoy combining them with end-to-end DL approaches. 

What’s this job about?

As a Computer Vision Engineer, you will be responsible for:

• Design, develop and train state-of-the-art computer vision algorithms. All the way from rapid prototyping to production-ready models (object detection, fine-grained object classification, change detection and more).
• Collaborate with engineers in our data-science, full-stack software development and product-management teams – to implement value-adding solutions.
• Evaluate your results and improve your solutions based on business metrics and scientific train-val-test methodologies. 
• Explore innovative techniques, such as active-learning, self-supervised learning and generative models, and evaluate their usability to our use-cases. 
• Drive the end-to-end execution of Computer Vision projects, including understanding the requirements and goals, set the criteria, data exploration, model selection, training, and evaluation, all the way to full-scale implementation and integration. 
• Provide continuous feedback and support to fellow Data Scientists in the team, all of them are brilliant minds and enthusiastic people just as you are, some of them are less experienced than you.
• Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of Data Science disciplines and related fields. Your day-to-day will be focused on Computer Vision, but you will also be involved in exploratory projects in the fields of structured data and time-series ML, NLP and competitive Data Science.  
• Continuously evolve yourself by keeping up to date with the latest Data Science, Machine Learning & Deep Learning technologies.
• You’ll be reporting to our CTO. 

Requirements

Personal

• You flourish when you are surrounded by talented, sharp-minded people.
• You love doing things yourself. You like mentoring others.
• You are a great communicator. You write, you talk, you appear, you communicate. 
• You are open. You understand that the only reason you have reached so far is that you were able to stand on the shoulders of giants. You truly believe the principles of the open movement – Open Source, Open Data & Open Innovation. 
• You are a competitor. “Bestfitting” Kaggle winner is your role model. 

Technical

• Deep technical expertise in Computer Vision and Deep Learning. 
• BS/MS degree in Computer Science, Engineering, or a related field. 
• At least 3 years of successful, hands-on, ML/DL/DS positions with a significant Computer Vision experience.
• You can code. Your code quality meets the typical Software Engineering standard (and not only the typical Data Science standard). 
• Proficient in Python.
• Experience with machine learning frameworks and libraries (Tensorflow, Pytorch, Keras).
• Experience with overhead imagery (aerial / satellite imagery) and with GIS – an advantage.
• Experience with Active Learning techniques – an advantage.
• Experience with cloud computing environments (e.g. AWS, Azure) and relevant execution frameworks (Docker, Kubernetes, etc.) – an advantage.
• You are comfortable at reading academic papers and reproducing their results.

Our Process

If you want to apply, please send your CV or Linkedin URL to hr@webiks.com.

Please write “Computer Vision Engineer application” in the email subject line.

Please attach to your email links to at least two of the followings:

1. A paper you have published (arXiv included). 
2. A technical blogpost you have written (English or Hebrew).
3. A lecture/presentation you gave in a meetup/course/conference.
4. A Kaggle competition you have participated in and scored well.
5. An open-source project you have contributed to.
6. A Jupyter / Colab notebook you have published.

Smadar, our HR manager will then contact you and set up an introductory call. If relevant, we will then set up interviews with Shachar, our CTO, and with Omer, our CEO, and together we will take it from there.