About the job:

Whatify is a growing startup company in the fields of artificial intelligence, cloud computing and data science. The company has developed an AutoML platform that generates winning machine learning models automatically and uses AI to generate business solutions for customers in the field of marketing and e-commerce.

We are looking for an experienced Data Scientist to work with our customers, product team, and our R&D team.

So what will your days at Whatify entail?

• Reviewing customer business questions and data and deciding on the modeling strategy
• Extract features and enrich the data
• Extract predictive and prescriptive analytics and review then with customers
• Code your own python code as well as use Whatify’s AutoML system

Does this describe you?

• B.Sc. of higher degrees in exact sciences/computer science/ electrical engineering/Information systems engineering
• At least 5 years of experience as a data scientist on structured data (not computer vision)
• Experience working with customers
• Good knowledge in the field of ML
• Good level of Python and SQL
• Winning history in public challenges like Kaggle – an advantage
• Preferably experience on working on multiple data science project with a variety of customers

Whatify is making machine learning accessible to everyone. We are leveraging our proprietary AutoML engine to provide business users with predictive analytics to improve their business performance.

We are looking for a Machine Learning Engineer who will develop our AutoML system and support our rapid business growth. We are good at solving structured datasets for supervised tasks (such as classification, regression, and time series) with a system that makes state-of-the-art models. Our applied research lies in the fields of deep learning, hyper-parameter optimization, meta-learning, time-series, anomaly detection, explainability, and active learning.

You will play a significant part in an innovative, high-performing team that is committed to delivering an application using cutting edge technologies in a dynamic and agile environment.

Does this describe you?

• M.Sc in one of computer science, electrical/computer engineering or equivalent
• 3+ years of hands-on software development (python preferred)
• 2+ hands-on experience in developing using open source ML frameworks such as scikit-learn, NumPy, pandas, Keras, TensorFlow, PyTorch
• Experience with git, dockers, and other CI CD concepts
• Experience in developing in cloud environments
• Experience with Linux based OS
• Experience in production implementation

Are you also the bearer of these advantageous superpowers?

• Proficiency in ML concepts and algorithms
• Data science experience on tabular data problems.

Viber is a calling and messaging app that connects people–no matter who they are, or where they’re from. With a free and secure connection, hundreds of millions of users worldwide communicate with their loved ones through high-quality audio and video calls, messaging, and much more.

As a Data Scientist, you will be part of the Data Science Team, handling mostly recommendation systems all across the Viber app and deal with software engineering challenges associated with data science and machine learning in production. Your primary focus will be in applying machine learning techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products. You will be prototyping, coding, serving and deploying ML models and putting research into production. Also, designing a data pipeline or building a scalable platform might be part of the job. We expect you to bring industry standards for data science and software engineering practices both in terms of hands-on, design, code and process and improve the quality of our recommendation systems.

This is a unique opportunity to join a fast-growing Data Science team and work closely with Senior Data Scientists and Data Engineers. You will develop and deploy scalable, high throughput production services, machine learning models, tackle challenges in the worlds of large-scale recommendation systems involving also NLP, ads, social networks and more.

Responsibilities

• Implement solutions for large scale recommendation systems in big data environments from top to bottom, by research, design, coding, POC, developing and deploying machine learning processes
• Design and apply cutting edge technology stacks in a high throughput environment
• Design and implement advanced algorithms in the machine and deep learning frameworks

Requirements

• 3+ years of experience as a Data Scientist in recommendation systems – Must
• 3+ years of experience with Python
• Hands-on machine learning and data science experience
• Superb understanding and hands-on experience with recommendation systems techniques and algorithms
• Excellent understanding of machine learning techniques and algorithms
• Experience with large scale recommendation systems
• Experience working in cloud environments, preferably AWS
• M.Sc. in computer science or equivalent
• Good analytical & problem-solving skills
• Can work independently and have great communication skills

Advantages

• 2+ years of Software Development
• You can bring in some architecture skills
• You have a backend development background (any language welcome here!)
• M.Sc. in machine learning or recommendation system
• Ph.D. in computer science or equivalent e.g., EE, statistics, math or physics

About Zone7

Zone7 is a cloud-based platform delivering AI algorithms that analyze athlete data to reduce the risk of injury and improve athlete performance. By analyzing data from thousands of athletes, we find complete patterns that lead to injury or peak performance and apply these learnings to create optimal recovery and workload plans. We work with soccer, hockey, and baseball teams in the US, Spain, UK, Italy, China, and more. Clients report a reduction in injuries and absences of 65%. We've also partnered with early adopters in healthcare – monitoring ER staff for exhaustion and Special Forces.

The company is based in SV and Tel Aviv and is backed by VC firms Resolute Ventures and UpWest as well as athletes such as Kristaps Porzingis, Jordi Cruyff, and Phil Jones.

Job Description

Position Overview

We’re looking for an experienced Data Scientist that can bring a substantial added value to our data science team. This position will include analysis of match stats, performance data, physiological tracking, biomechanical screening, and health biomarkers, to upgrade existing algorithms and develop new algorithms, alongside the delivery of algorithm outputs to a non-tech environment. This position will also enable you to take a key role in further building the company, alongside having a decisive influence on our product, data science stack, and infrastructure. 

What You’ll Do

• Build our ML & DL models and recommendations engine.
• Bring in new methods to upgrade our platform's performance and quality of insights.
• Develop the infrastructure we use to import and integrate the different data types we analyze.
• Design and implement data science stack upgrades that will enable scaling the solutions we currently offer.
• Tailor our solutions for elite organizations’ specific requirements

Skills and Requirements

What You Need

• Be able to successfully work in a team and communicate opinions and insights to help develop the company.
• Significant experience in problem-solving using ML and DL methods.
• Experience with Cloud Big Data computing design, provisioning, and tuning.
• Experience with Big Data technologies (e.g., Spark, Hadoop, NoSQL engines, different data file formats).
• Knowledge of scripting and programming languages such as Python is mandatory.
• Experience with data from sensors and time series data is an advantage.
• Passion for sports is an advantage. A background in competitive sports even more so.
• Knowledge in life science, especially exercise physiology or biomechanics is an advantage as well.

Outbrain's yield optimization team is looking for an experienced Algorithms Engineer. The team is part of Outbrain’s Recommendations Group – about 40 machine learning engineers, data scientists and backend engineers who are responsible for everything that Outbrain recommends in its feeds and widgets. The team is involved in research, implementation and production rollout of state of the art machine learning models in diverse tech stack Python, TensorFlow, Java and Rust.

Yield Optimization teams responsibilities: 

We are developing state-of-the-art CTR prediction models which are the backbone of Outbrain recommender systems. We leverage Outbrain AutoML suite to accelerate our research and to reduce productization time. We do extensive feature research, develop state of the art models in TensorFlow and Rust. In addition we tackle classical recommender system challenges such as cold start.

For more info go to job submission page i the link bellow

This is Artlist 🧑‍🎨

Artlist is a fast-growing music licensing platform for filmmakers. With tens of thousands of customers and outstanding growth, Artlist is helping filmmakers around the world achieve their creative freedom.

The Opportunity ♫

We are looking for an experienced Data scientist to join our data science team.

As a data scientist you’ll define, research, develop and deploy models – impacting artists and creators all over the world!

Working with us means training your model on diverse data created by the top filmmaker and musicians worldwide (you’ll love it!)

What you’ll do:

• Build cutting edge models and data pipelines to develop valuable features for our users like
  • Recommendation systems empowering creators all over the world
  • Optimizing user journeys on our platform
  • Analyzing top quality labelled data
• Write production grade code, served to our user audience
• Understand the business and product needs and transform them into successful scientific and production ready solutions
• Experiment with state of the art algorithms and tools on various data types (tabular, audio, video)

Requirements:

• Minimum of 3 years of hand-on data science 
• Extensive knowledge of ML disciplines and algorithms, with a focus on tabular methods (deep and classical ML)
• Excellent programming skills in python, knowledge in SQL
• Experience with recommendation systems – Big Plus
• Software engineering background – Plus
• Passionate about music & art – Plus

ClimaCell’s Product & Engineering department is focused on building changing lives software and products at scale, from infrastructure that handles massive amounts of data to outstanding customer-centric user experiences in B2B, B2C and B2D products that change billions of lives worldwide.

We’re looking for a Product Data Scientist, that will support the growth by creating dashboards, interpreting data, sharing insights, and developing models that improve every aspect of the product. You'll Build the data methodologies and processes and enable all the different product teams to take better and smarter data-driven decisions.You’ll help ClimaCell consumer app grow to hundreds of millions of users by gathering and extracting business insights.

As a Product Data Scientist at ClimaCell, You’ll be the “data eyes and ears” that guide the product team. You’ll find what’s working, what can be improved and what’s missing. On a daily basis, you will work with the key stakeholders in the company, make decisions, and get the chance to make an impact.
And…You'll help us make sure we are building the biggest weather platform in the world!

What you bring:
5+ years proven experience using SQL, Python/R.
5+ years experience doing quantitative analysis, in web or mobile company.
5+ Experience with online product analysis: funnel optimization, flows, cohorts, feature impact, retention and more.
Experience in developing visualization tools (Tableau, Looker, etc.).
Very Strong experience in writing complex SQL queries.
Strong knowledge of working with large and complex datasets that represent the whole user lifecycle (user behavior, purchases, marketing, etc.)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to details and accuracy.
Autodidact, Independent, self-motivated and able to produce accurate and reliable results.
Ability to leading data-driven projects from definition to execution.
Ability to thrive in an unstructured environment, working autonomously with a strong team to find opportunity and deliver business impact.
Advantage:
data engineering skills.

So if Data is your middle name, you're a creative thinker and your friends call you when they need your insights, and if you love the rain – this is the team for you.

About Us

Riskified is the AI platform powering the eCommerce revolution. We use cutting-edge technology, machine-learning algorithms, and behavioral analytics to identify legitimate customers and keep them moving toward checkout. Merchants use Riskified to increase revenue, prevent fraud, and eliminate customer friction. Riskified has reviewed hundreds of millions of transactions and approved billions of dollars of revenue for merchants across virtually all industries, including Wish, Prada, Aldo, Finish Line, and many more. We're privately funded and VC backed, and our recent Series E round raised $165 million with a valuation in excess of $1 billion. Check out the Riskified Technology Blog for a deeper dive into our R&D work.

About the Role

The Research department is at the core of Riskified’s solution, responsible for our chargeback guarantee product and focused on bringing value to Riskified through the development of algorithms and analytical solutions. The department uses a wide variety of advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more).

The ML Algorithm team is responsible for the full life-cycle of model development in Riskified. This includes defining, researching and implementing our traditional machine learning process in a fully automated fashion to enable fast and effortless model training and deployment. Additionally, the team is focused on automating increasingly complex aspects of the model configuration – dynamically setting thresholds to respond to population changes and segmenting the population in a smart fashion to improve the accuracy of each model. To enable this, we harness the latest MLOps architectures and require solid statistical foundations to ensure the quality of our products. 

Our vision is to automate much of our internal data science and analytics work through advanced algorithm and machine learning engineering, pushing Riskified’s world-class solutions to the next stage.

We are looking for a full-stack Data Scientist / ML Engineer, with a strong background both in statistical modelling and writing production code. Experience with MLOps methodologies is a big advantage.

What You'll Be Doing

• Design, optimize and automate the full life-cycle of models in Riskified – Training, Deployment, Monitoring 
• Collaborate with various teams within Riskified to enhance processes and expedite model development life-cycles
• Design algorithms to optimize models’ configurations for multiple merchants and under several various constraints including dynamic population changes
• Optimize, automate and monitor the whole model training and deployment process

Qualifications

• At least 2 years of experience as a Data Scientist/ML engineer in the industry
• M.Sc/Ph.D. in exact sciences/engineering disciplines
• Ability to write clean and concise code, ideally in R or Python
• Experienced with data science best-practices
• Solid understanding of statistics and applied mathematics
• Creative thinker with a proven ability to innovate through data exploration and application of advanced solutions
• Dedication and persistence when it comes to monitoring and improving performance after deployment
• Good communication skills, ability to clearly explain complex concepts
• Experience writing production code – Advantage
• Experience using Spark/Docker/Kubernetes and CI/CD – Advantage
• Experience with Bayesian Optimization / Control systems – Advantage

Life at Riskified

We are a fast-growing and dynamic startup with 500+ team members between our offices in Tel Aviv, New York City, and Shanghai. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us.

Some Tel Aviv Benefits & Perks:

• Stock options for all employees
• Keren Hishtalmut and pension
• Extra time off for parents and caregivers
• Commuter and parking benefits
• Team events, fully-stocked kitchen, lunch stipend, yoga, pilates, basketball, soccer, and more

Have you ever dreamed of working in a B2C startup that combines Sport, Deep technology, and a "Pink" style?

Join a fast-growing mobile AI startup, located in the heart of Tel Aviv, and be a part of a small group. Our first product is the world’s first Computer Vision mobile application for fitness training. fitV brings real-time workout feedback capabilities that help trainees to boost their workout anyplace and anytime.

We’re a seed-stage funded startup, launched in 2019, and our investors are key players in the global sports industry.

We believe in down to earth and "can do" people who view obstacles as an exciting challenge that demands creative solutions. Someone who feels uncomfortable when a day goes by without achieving something impactful and passionate to get things done.

We are looking for an ambitious senior data scientist. You will be leading research and development of machine learning algorithms for human communication and context awareness problems, taking advantage of extensive data for real-time user interaction that will be implemented as part of the core technology. You will be a part of our algorithms team and work closely with the product team, and will be expected to bring innovative ideas and implement them in our product. Eventually, you will be responsible for the entire algorithmic life-cycle: from data engineering, through prototyping new models, implementing them in production, to monitoring and optimizing.

We want to know if you:

• Love sports (a big plus!)
• Have strong and proven experience in research and developing machine learning solutions (Big data domain)
• Have 3+ years of professional working experience
• Have experience working with ML developing environments and production systems in cloud service providers (AWS/GCP) (a big advantage)
• Have extensive hands-on experience working with ML frameworks (pytorch/tensorflow/keras)
• Have proven experience working with data pipelines and relevant technologies
• Hold M.Sc/Ph.D. in CS/EE/Mathematics in the domain ML/DL

We offer:

• A technology and engineering-driven culture that treasures talents and individual's growth
• International environment with flexible working conditions
• Hard work with many many challenges that will boost your level and skills
• Competitive compensation package

About us

EnlightAI provides an AI-Driven Industrial Intelligence solution. The EnlightAI solution uses advanced Artificial Intelligence to provide real-time asset failure predictions based on monitoring sensors’ signal data in the cloud. With its proprietary adaptive algorithms, EnlightAI can analyze sensor behavior, automatically learn how machines behave, and use this learning to predict machine failures before they occur.

Last year, Presenso was acquired by Swedish-based SKF, the world’s largest bearing manufacturer with over 45,000 employees.

https://www.calcalist.co.il/internet/articles/0,7340,L-3771625,00.html

Our offices are in Yoqneam, North Israel.

Data scientist

We are looking for a talented, dynamic, high impact data-scientist with full motivation and energy to be part of the Data-Science department. As such, you will be a part of an international team that designing and developing AI solutions for the predictive maintenance ecosystem in SKF.

Key Responsibilities:

·        Bringing solutions from research into production

·        Developing AutoML components for predictive modeling

·        Developing methods to explain prediction models of industrial failures

·        Developing unsupervised approaches for anomaly detection

·        Maintain and support product development and product users

Skills & Qualifications

·        M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field

·        Programming experience in Python/Matlab

·        Experience of 2+ years in data science working in a production environment

·        Strong English and communication skills (both speech and writing)

·        Highly motivated and positive-attituded person

·        Team player

·        Experience with agile development methodology

·        Excellent English verbal and written communication skills

·        Outstanding communication skills

·        Passion for data

Preferable Skills & Qualifications

·        Delivery oriented

·        Knowledge of Spark, Kubernetes, Ray, Tune is an advantage

·        Knowledge of Sklearn, Pandas, Timeseries

·        Experience with Java

·        Experience with Signal Processing

·        Experience in the field of predictive maintenance

Technology stack

·        Data science

·        Machine learning algorithms

·        Data engineering

·        Deep learning

·        CS algorithms

·        Python /Matlab

·        Signal processing