Kayhut's data science and machine learning group is growing and we are seeking expert researchers with industry experience, that enjoy solving data centric challenges by inventing new algorithms and deep learning mechanisms and integrating them into data collection and processing systems, using latest tools and technologies.

A successful candidate should be well versed in the latest tools and platforms in the field of deep learning, skilled at communicating his work to others and effectively holds the data science flag in a multi-disciplinary project team.

Job requirements:

• M.Sc. or PhD in one of the exact sciences (CS, Math, EE, Physics)
• At least 4 years work experience doing research or algorithm development with machine learning and data science tools
• Experience leading data science projects from concept to customer satisfaction
• Good knowledge of Python and ML platforms
• Advantage for hands-on experience with Keras , Pytorch or Tensorflow and experience working with Spark clusters (or similar distributed computing environment).

Who you are

You feel comfortable with open-ended questions; you love deep-diving in a lot of data; you love brainstorming for new ideas yet have the ability to break your solution into smaller, quickly-implementable sub-parts; you are hands-on and love to own what you do, end-to-end, from research to production; most importantly, you are hungry to get things done well.

What you’ll do

• Research and develop to production environment features and solutions for API security
• Dive deep into the data; establish new ideas and directions worth looking into; identify flaws and caveats in existing models and suggest improvements.
• Work closely with product and other R&D functions in the company to constantly improve and expand our AI abilities.

Skills and experience

• MSc or Ph.D. in computer science or other quantitative fields of study
• 2+ years of experience in Machine Learning algorithms
• Familiarity /experience with NLP is an advantage
• Programming skills in java and python is a plus
• Have high work-ethics, getting the job done attitude, with the ability to work independently
• Creative-thinking yet practical
• Ability to work in a fast-paced environment
• Cyber security experience is an advantage

Embie, based in Ramat Gan/Tel Aviv, is an early stage start up in the FemTech industry that has a simple mission; help women struggling to conceive, get to a healthy baby faster!

We’re looking for a passionate CTO (potential co-founder role) with a strong background in Data Science/AI that drives product development to join our team. No former entrepreneurial role required, though it is welcomed.

20% of the world’s population is considered infertile, and it takes an average of 6-9 IVF cycles for women under 35 to bring home a healthy baby. That many cycles can take a huge toll financially, physically and emotionally – with most women having to quit before they succeed.

That’s where Embie steps in! Embie is a mobile app that in just 6 short months has helped over 10,000 women keep track of their medications, appointments and treatment reports. But our goal is to take that, along with clinical research and build an AI that will recommend the best protocol based on a specific diagnosis, hormonal panel, and lifestyle choices.

For team that "wraps" the bank's model developers, checks and gives recommendations for future work; We are looking for a creative worker with self-taught ability and charisma.
The work includes reading articles, analytic advisory, performing comprehensive tests (explainabilty, overfit test, calibration tests and stability) on the model and theoretical tests driving to conclusions for new methodological directions to the model developers like changing metrics, algorithms, encodings and so on.
The role is very open and enabling, but it also has a frontal part with the need to present and motivate the findings

Job Description:
Validation and research with regard to models for rating credit, collection, detection, prevention and investigation of fraud and embezzlement (anti-fraud), money laundering and models in the field of sales and marketing using mathematical / statistical / algorithmic tools, including reconstruction and development of models for the purpose of benchmarking (challenger models). The work is done vis a vis large databases and a variety of business information.
• Development of risk quantification methods and research in order to enhance the methodology
• Investigate the information used as input and in favor of calibrating the parameters for models
• Providing professional opinions and producing executive management reports
• Existence of intensive work interfaces with the bank's stakeholders, subsidiaries and branches abroad, the Supervisor of Banks, accountants and auditors,legal advisors leading consulting service providers in Israel and abroad and more.

Requirements:
• Master's degree in scientific degree – a significant advantage
• Experience working with large DBs and working with SQL – required
• Experience in developing models – required
• Python SAS R MATLAB – required
• written and oral expression at an advanced level
• Proficiency in English

About Curve Technologies:

Curve’s predictive modelling platform enables retailers and e-merchants to reduce costs, identify growth opportunities, and generate personalized customer experience by using machine learning algorithms. Curve transforms unstructured historical data into meaningful information and actionable insights that positively drives business productivity and bottom-lines.

About the Role:

We are looking for a Data Scientist to join our data team. As a data scientist in curve you will take part in our ongoing endeavour of developing a robust analytic pipeline that is able to digest multiple types and forms of data without manual intervention and use advanced analytics to supply predictive insight. We work with many types of data and with every processing and modelling technique out there.

Our data team consists of skilled and experienced professionals with both academic and industry background in multiple scientific fields and we are seeking someone creative, smart and fun to work with to complement our versatile team.

In order to excel in our team, you need to be a skilled data scientist and a strong python developer.

Primary Responsibilities:

• Design, implement and deploy ML/DL algorithms
• Apply quantitative analysis and an insightful presentation of data to see beyond the numbers and understand how our users interact with our growth products
• Automate data collection procedures, and pre-processing of structured and unstructured data
• Analyse large amounts of data to discover trends and patterns
• Apply data mining techniques, perform statistical analysis, and build high-quality prediction modelling
• Meet the business vision and strategy in accordance with the product innovation backlog
• Collaborate with the product, engineering, and UX/UI teams to deliver usable and informative analytical interfaces

Basic Requirements:

• Proven experience as a Data Scientist, preferably working with B2C / B2B2C SaaS products
• Python expert!
• Excellent understanding of machine learning techniques and algorithms and methodology
• Experience with common data science toolkits, such as Pandas, Scikit-learn, Tensorflow, FeatureTools and more
• High-level applied statistics skills, such as distributions, statistical testing, etc.
• Experience in data mining and insight drawing from large data sets
• Proficiency in using query languages such as SQL, Hive, Pig
• Data-oriented personality, analytical mind, and problem-solving aptitude
• Team player with excellent communication and presentation skills to tech / non-tech people alike
• in Computer Science, Engineering, Mathematics or relevant field; graduate degree in Data Science or other quantitative field is preferred

Fluent in English, both written and verbal

We are looking for a talented Data Engineer with a passion for data a complex problems.
As a Data Engineer, you will join a diversified R&D group consisting of Data Scientists, Sr Engineers and Algorithms Engineers. You will work on data pipelines varying from high resolution data and implement both infrastructure and serving. You will have a key role in Aiola’s Data Organization, responsible for collecting, integrating and serving high quality features for AI models.

WHAT WILL YOU DO
• Work closely with business and research teams to deliver high quality results to customers and partners.
• Design, automate and Implement complex end-to-end data pipelines including data extraction, feature engineering, data quality and data serving.
• Work with Data Scientists to deliver high scale, high quality features for AI models.
• Take ownership of the project from POC to production.
• Contribute to a wide variety of projects, including automation, using a range of technologies and tools.

QUALIFICATIONS
• Bsc in CS/Mathematics/Statistics/Physics/EE or equivalent experience.
• 3+ years of hands-on experience programming in Python.
• Experience with working with complex data sets.
• Experience with data visualization and analytics.
• Experience working with cloud compute and storage services on AWS/Azure/ Google cloud.• Hacker mindset – deliver results fast using creative solutions.  A team player with excellent collaboration skills.

About Biotax

BiotaX is a startup that is developing cutting-edge technology focused on microbiome based disease detection and treatment. With our technology, we wish to positively impact people’s lives, by providing early diagnostics & safe treatments for cancer.

BiotaX’s patented technology is based on discoveries & research made by Professor Naama Geva-Zatorsky from the Technion Integrated Cancer Center and is supported by advanced bioinformatic and ML capabilities.

Biotax was recently selected to participate in the prestigious Illumina Accelerator, Illumina is the leading company for genomics platform and genomic services and BiotaX will be highly benefited by this strategic collaboration.

Position

Biotax is looking for a highly talented, creative, and passionate Data Scientist with a strong background in Biology to join the bioinformatics AI team and take a key role in developing our Machine Learning based metagenomic diagnostic platform. In this role you will be operating beyond what is know about metagenomic classification. You will use advanced approaches in data exploration and data analytics to drive forward Biotax’s advantages in data ingestion and understanding.

Who are you

You are a talented motivated individual who is passionate about working with us to make a meaningful impact in the world of early cancer detection and prevention. You have experience in analyzing data and delving deep into biological and medical sciences. You are technologically adept and is comfortable in a programming environment. While you might lack industry programming or tooling experience compared to your fellow data scientists, you can make up for it with your ability to generate profound insight into our data using your strong biological background. You are a quick and voracious learner, and together with the training and on boarding provided by Biotax, you can become an expert in data science and automation.

Why you should join Biotax

Biotax is a well funded comopany that aims to change the way in which cancer diagnostics and treatment development is done today. We are tapping in to the forefront of advanced solutions in ML research, Data ops and data engineering. Working with us, you could make use of your deep understanding of biology and your quick learning skills to infuse our AI platform with the state of the art in scientific understanding of the human microbiome. Joining us in this stage will mean joining the core and future leadership of the company. Your work at Biotax could help save lives while improving your skills in programming, data science and machine learning, turning you into a top class data scientist.

Primary Responsibilities

• Be a core part of the data engineering process (collection, cleaning, unification, storage schema design) for the AI platform together with our CTO
• Perform systematic reviews of relevant literature
• Work closely with the scientific team to Integrate domain knowledge throughout the entire data science pipeline
• Research and analyze Metagenomic/Genomics data-sets
• Work on the training and validation of our ML algorithms

Technical Requirements

• Ph.D/M.Sc in Biology or a Biology related degree from a leading academic institute
• Knowledge in metagenomics or genomics analysis
• Knowledge in a high level programming language (Python/R/MATLAB/etc)
• Basic knowledge in Machine learning/Statistical modeling/Data-science
• Experience in Unix working environment (advantage)

Personal Requirements

• Ability to dig into, analyze and understand data from varying sources

• Excellent communication skills
• Problem-solving attitude
• Creative thinking skills

• Team player, who can perform a wide range of tasks as part of an effort to design, implement, and integrate a large-scale system

Medorion is an impact startup company which helps healthcare organizations to keep their patients healthy, by understanding their decision process with regards to health behaviors. Our decision process has a huge impact on our health as all of us avoid important procedures such as vaccines, cancer screening, diabetes monitoring and dozens of other procedures, which are imperative for our health. 

Medorion develops a software AI product which sheds light, for the first time, on the patient's decision process with regards to their health. By combining theoretical behavioral science models with state of the art machine learning, the product strives to understand the patient’s main barriers and motivation towards specific health behaviors. Following a deeper understanding on the patient’s state of mind, the way to behavior change and health impact is much easier!

We are looking for an excellent Data Scientist to join our R&D team!

What you’ll do: 

On our day to day the data science team uses clinical data in order to model the decision factors which drive individuals to specific health behaviors.

Our team is still very small and experienced, so you’ll have a crucial part in all the development process and a close connection to create impact on our customers.

What you should bring with you:

• At least 3 years of data science experience
• Bsc. in Statistics, Mathematics, Computer Science, Electrical Engineering, related quantitative discipline
• Knowledge of statistical theory fundamentals such as hypothesis testing and power analysis
• Experience with statistical analysis using R , Python or Julia
• Knowledge in a variety of machine learning algorithms
• Experience with exploratory data analysis and detect actionable insights
• Knowledge with modern machine learning metrics such as: precision- recall, 
• Experience with workflow
• Experience with Data Warehouse inquiries using query languages such as SQL
• Passion for working on solutions that have a positive impact on society. 

It would be nice if you:

• M.Sc  in Statistics, Mathematics,Computer Science, Engineering, related quantitative discipline
• Ability to communicate and visualise data analysis results using tools such as Shiny, Dash, Plotly, and Tableau
• Knowledge of explainable-ai techniques.
• Knowledge in deriving causal effects from data such as medical data and marketing data (such as A/B design, uplift modeling)