Come [legally] hack with us the data on the largest exchange that’s running our world. Not NASDAQ; the one with way more events – the Global Ads Exchanges, where millions of ads are born and clicked every second.

Step behind the curtain of algorithms and competitors that move $1T of annual budgets. Plunge into a world of ISP-volumes of traffic, sub-second predictions and TBs of live, real-world data. Use cutting-edge analysis, ML and engineering or just plain hacker-like thinking to out-perform the market.

Arpeely is a Data-Science startup, leveraging, data analysis, ML, engineering, multi-disciplinary thinking to gain a market edge and exploit hidden opportunities in real-time advertising. Processing over 0.5m requests per second and serving over 20B sub-second predictions daily, we build and operate Machine Learning algorithms running on the world’s largest Real-time-bidding (RTB) Ad-Exchanges. Arpeely is a Google AdX vendor and serves clients spanning from startups to Fortune-50 companies.

As our Head Of Research, you will become our focal point for all things ML, guide the data team and lay infrastructure to amplify cross-company data efforts. You’ll solve company-strategic challenges by coming up with novel algorithms and super-charge existing ones while working in a fast-paced, quick-feedback rewarding environment. You’ll see your breakthroughs proliferate across cross-company challenges having an immediate impact in the company’s bottom-line success.

What You’ll Do:

Build data infrastructure, roadmap and introduce processes that’ll amplify all data efforts within the company

Solve complex and strategic data challenges and proliferate knowledge and breakthroughs cross-company

Merge theory with practice by designing strategies and algorithms within the company’s core acquisition engine, deploy them end-to-end and see their success in production

Become the focal point of the Machine and Deep Learning areas of expertise within the company and guide fellow data scientists, researchers and analysts

Own the process end-to-end from research, theorization, strategy development to deployment, outcome analysis and refinement

Enjoy a high level of autonomy in a fast-paced business and work environment within a small and growing organization

Collaborate with a team of A-player researchers and engineers to solve complex data and market problems

Who we are looking for:

Independent. Self-starter.

5+ years of experience working as a Data Scientist in an innovative environment

Proven experience building ML/DL solutions in production (using TensorFlow/Pytorch)

Master’s or PhD in Computer Science, Machine Learning, Computer Science, Physics, Statistics, Applied Math, or relevant qualifications

Proven experience building ML/DL solutions in production

Experience in marketing, RTB, AdTech, FinTech – Bonus

Prior experience in startup environments – Bonus

Strong expertise with complex SQL and analysis tools such as (R, Pandas, Python or equiv.)

Work from our offices in Tel Aviv, Midtown Commerce Tower

Navina is an early-stage AI startup in the field of Digital Health.

Our core mission is to move primary care by family physicians into the 21st century, using a data driven approach.

Navina’s system aggregates medical data from all available data sources into a single clinical snapshot, highlighting critical information and delivering it to the clinician at the point of care. This is done using cutting edge Deep Learning and NLP algorithms.

We're looking for experienced, creative and highly independent Data Scientists to join our winning team. This is a great opportunity to join a research department early on and to have a major impact on the product and methods used. You will be in charge of end to end algorithm development, from initial research, all the way to full deployment.

Must have requirements:

• B.Sc + M.Sc in an analytical field (Computer Science, Bioinformatics, Engineering or any other analytical degree)
• 2+ years of hands-on experience with Machine Learning and Deep learning algorithms
• High proficiency with Python and SQL 
• Experience developing end to end data science solutions in production, writing scalable and automated solutions
• Team player with strong communication and collaboration skills

Advantages:

• Experience with NLP and NLU algorithms, including Question & Answering, Reading Comprehension, Language Embeddings, Dialog, etc.
• Ph.D. in an analytical field
• Deep knowledge in one or more of the following fields: Time series Analysis, Computer Vision, Voice recognition
• Experience working with Docker, Kubernetes, AWS, Spark, Hadoop

As our Data Scientist, you will be spearheading the analysis of thousands of patient-therapist conversations, working closely with our leadership, product, and clinical team, to derive insights that directly improve therapy sessions for thousands of people. This is a unique opportunity to join a startup with real impact on the wellbeing and mental health of thousands, applying cutting edge technology for solving a meaningful human problem with huge financial and psychological implications

We Have:

• A world-changing vision, and a product that impacts people’s lives every single day.
• A team of amazing people with a shared vision, and extensive experience building companies from the ground up.
• A post-seed stage company poised for explosive growth

You Have:

• +2 years of proven industry experience as a data scientist
• +2 years of experience in Python (production grade coding)
• Proven experience in developing and delivering end-to-end ML and voice-based models, from data cleaning, feature engineering, algorithm development, and implementation in production
• Voice analysis & ASR Experience
• Experience with NLP – advantage
• Early stage start-ups experience – advantage

We care about:

• Accountability – we can trust you to take ownership of your tasks from A-Z and understand the gravity of the data you are working with.
• Agility and adaptability – we can trust you to get things done, learn what it takes on your own and adapt to a very dynamic environment
• Communication – you are able to successfully communicate complex issues and problems
• An analytical mind with problem-solving capabilities
• Great interpersonal skills

We are looking for a hands-on, highly motivated Product Data Scientist to join our data team.

Our ideal candidate will utilize their data skills and their passion for ML/AI to productize our end users' data, turning them into in-app data features that help our users achieve their wellness goals.

As a Data Scientist in the product domain, you will work with various stakeholders within the product and engineering teams. You will support the company's growth by analyzing our users' behavioral data sources (sleep, nutrition, steps, workouts, etc.), developing data models, and providing the end-users with insights and actionable recommendations.

This is a once in a lifetime opportunity to establish new data initiatives in a growing startup and be a part of improving people's health and wellness while doing something you love.

Responsibilities

• Initiate, design and develop data features that will be integrated in the product
• Research and prioritize new data sources that will help us to improve our models and to increase users' value from the product
• Take part in our data features strategy planning
• Collaborate closely with cross-functional teams to design and prioritize data strategies and initiatives

What we're looking for

• BSc in Statistics, Computer Science, Mathematics, or equivalent practical experience
• Hands-on experience as a Data Scientist from B2C companies
• Hands on SQL and Python skills (Pandas, NumPy, and other relevant DS libraries)
• Development of predictive and recommendation models for end-users
• Experience working with backend and frontend development teams
• Knowledge and experience with nutrition / metabolism / health – advantage (a desire to know more about these topics is an advantage too)

Who are we?

Artificial Intelligence Group, Intel IT: Transforming Intel with AI

The Artificial Intelligence Group at Intel IT is the leading group at Intel that creates state-of-the-art artificial intelligence (AI) capabilities. It includes more than 200 Data Scientists, Machine Learning Engineers, and AI Product Managers and Analysts, most of which are located in Israel.

We deliver internal and external AI capabilities to transform the most critical business processes at Intel, from processors R D, through manufacturing to sales and more. We have over 500 AI algorithms in products that create a competitive advantage for Intel and influence almost every processor that Intel provides, yielding over 1B Dollars in extra revenue or reduced costs. In addition, we offer self-service AI platforms and professional services to cater to the growing demand for AI across the company.

Our Data Scientists

We have the dream job for Data Scientists: We solve high-value business problems using many diverse datasets; We analyze images, text, time-series, and tabular data and utilize cutting-edge methods from various AI domains, including classical Machine Learning, Deep Learning, Reinforcement Learning, and more; We’re using a variety of tools (e.g., TensorFlow, PyTorch, Scikit-learn, PySpark). Our Data Scientists are the core of any new solution we develop and they are involved in all the AI aspects of the project: from ideation and problem formulation, through the state of the art research for developing the models, to preparing the production models for deployment. Our large community of over 50 Data Scientists enables you to work and learn with great minds, participate in internal seminars and courses and take part in leading professional conferences, thus ensuring you’ll constantly grow your skills and knowledge.

Qualifications

What we are looking for?

• Top-notch MSc/Ph.D. graduate whose research focused on Machine Learning / Deep Learning.
• Relevant disciplines of studies: computer science, engineering, or statistics.
• Strong ML/DL knowledge + experience in solving data science problems using these methods.
• Highly motivated to solve real-world problems and create high impact in practice.
• Substantial experience in programming in Python.
• Acquaintance with AI-related tools, such as TensorFlow, PyTorch, Scikit-learn, and PySpark.
• Team player with great communication skills, who can also work independently and methodically.

Inside this Business Group

Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.

Utilis is a successful earth observation data startup company specializing in SAR infrastructure analytics. Utilis has developed a cutting-edge unique technological solution for exploiting data out of radar satellites imageries for different industries.

Utilis R&D department seeks for a strong individual, problem solver with high motivation to join our growing Data Science & AI algorithm team. The selected applicant will be a part of the Utilis innovation cohort taking part in the company AI development and data analysis on unique datasets from satellites.

Responsibilities:

• Perform variety of product data science tasks on the company’s data.
• Design & develop complex computer vision and deep learning algorithms to be applied on satellite imagery and geospatial datasets.
• Prototyping a data-oriented algorithm solution for unique radar satellite imagery challenges and datasets.
• Getting dirty and perform ongoing data analytics and statistical studies.
• Work closely with various departments in the company to provide advanced Data Science solutions end to end.

Qualifications:

Minimum qualifications

• or MSc. graduates in Computer science/Electrical engineering/Math or another computational/quantitative field from leading institutes. Equivalent relevant experience to be considered.
• Strong background in statistics and statistical programming skills.
• Programming: Python (high proficiency), SQL (high proficiency).
• Background in machine learning and computer vision, including familiarity with deep learning frameworks (e.g. Tensorflow, PyTorch, Keras).
• High English proficiency (writing, speaking & reading)
• A “can do” mindset with strong communication skills.

Preferred qualifications

• Master thesis MSc. degree
• Programming: C, C++, Java, R, MATLAB.
• Experience with computer vision and image processing.
• Experience with geospatial & numerical python packages (e.g. Numpy, GDAL, Geopandas, Rasterio).
• Experience with AWS environment.
• Experience with remote sensing, geospatial analytics and GIS development.
• Experience in Geospatial DB (PostGIS).

Full time position (100%).

Start date: Immediate (June 2021).

Location: Afeq industrial park, Rosh Ha'ayin

About Imagene

Imagene provides a disruptive AI-based genomic testing solution to assist cancer patients in receiving the optimal treatment that medicine can offer by making genomic testing accessible and leverage their biopsy image for personalized therapeutic strategies.

About the position

Imagene is hiring an experienced data scientist researcher. As part of the initial data science team recruitments, he/she will have the opportunity to influence the research vision, goals, and culture significantly.

Imagene is working with some of the largest players in the health space, so he would have the opportunity to impact many people's lives.

This person must bring an established track record of successfully solving complex problems in the computer vision field and a strong passion for Imagene’s mission.

Responsibilities

● Engage and implement cutting-edge AI technology in the field of unsupervised and semi-supervised learning.

● Apply reinforcement learning for architecture and hyper-parameters search.

● Develop robust Generative Adversarial Networks.

● Keep track and implement the latest state-of-the-art deep learning research.

Qualifications

● 4+ Years of experience programming experience in Python.

● 4+ Years of experience in machine learning algorithms.

● 4+ Years of experience in computer vision algorithm development.

● 4+ Years of experience with the following frameworks: PyTorch, TensorFlow.

● 2+ Years of experience with unsupervised and semi-supervised deep learning models.

● proficient in detection, segmentation, and classification algorithms.