Mid-Senior

Responsibilities:

  • •  Mentor a dream team of Data Scientists
  • •  Model & design machine learning and algorithms over Python
  • •  End to end (  inception, research, development, deployment)
  • •  Your team will tackle complex, open questions and accompany the solution all the way to production.
  • •  Review and optimize the data science models
  • •  Perform ongoing optimization improvements

What You Need:

  • •  At least 2 years experience as a team leader.
  • •  At least 3 years of experience working with predictive and probabilistic models, clustering algorithms and other classification models (e.g., Logistic Regression, Neural Networks, K-Means and decision trees)
  • •  At least 3 years of hands-on production development experience, Python .
  • •  Ability to initiate and lead research projects from idea to productization.
  • •  Excellent hands-on SQL skills
  • •  Strong engineering design skills
  • •  M.Sc/PhD in Computer Science, Statistics, Operations Research or equivalent
  • •  Very High Proficiency in both speaking and writing English.

Bonus:

  • •  Deep Learning, Probabilistic programming, Bayesian statistics.
  • •  Experience with big data technologies such as SciKit, Keras, Spark, Cassandra, Hadoop, Map-Reduce processes etc
  • • Working in cloud production environment

Data Scientist

BlueVoyant

BlueVoyant is looking for for an experienced Data Scientist who seeks an opportunity to take on new and exciting projects and champion them forward.
We're looking for a technically-strong, independent person, who's also a great team-player, to join a highly-skilled data-science team that works on very large transactional data in the Cyber domain.

Our team is a Cyber R&D team, and as such, we believe in doing our own research and developing our own solutions.
We're looking for people who know how to look at data and draw insights from it, before deciding on the solution to the problem.
Solutions can be as creative as needed, as long as they are practical and efficient, and the responsible team-member is expected to implement it and take it to production.
Problems we're currently working on range from graph-theory, to time-series, to NLP, and we've just recently started.

What We're Looking for:

– A Senior Data Scientist with proven experience in creating solutions that make a difference in an organization.
– Strong machine learning experience (must be "hands on")
– Engineering experience (production-grade designing and coding) – a big plus
– Experience with metadata-based intelligence – a big plus
– Strong statistical background – a big plus

About our Data:
BlueVoyant has unique datasets of Cyber-related traffic, which measure in the Petabytes.
Our data is very high on volume, variety and velocity, and keeps on growing as we gain even more data sources.
Challenges are abundant as we work to create more sophisticated ways of analyzing our data in order to protect our clients.

About the Company:
BlueVoyant is very rare company – Started in July of 2017, the company that was founded by Jim Rosenthal (former COO of Morgan Stanley) has raised 125 million USD and already has about 50 employees in Israel, and 190 worldwide (with offices in the US and Europe).
The company has a unique combination of outstanding data, exceptional people and interesting technology to support it all.
The Israeli branch is managed by Ron Feller – former deputy commander of 8200.

Requirements:

– 3+ years as a hands-on data scientist
– Experience with Hadoop & HDFS (preferably with Spark), ElasticSearch, Kafka
– Proficient in Python
– Additional plusses are: Understanding of micro-service architecture, experience with Docker/Vagrant, experience with additional NoSQL databases/frameworks

Please send CVs to: eyal.rozen@bluevoyant.com

Thank you.

Responsibilities

  • 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.
  • Contribute to a wide variety of research projects using statistical analysis and modeling.
  • Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.

Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • Work experience with an emphasis on quantitative research methods (Mathematics, Computer Science, Statistics, Economics or related fields). Experience in statistics and Machine Learning Models, working with statistical packages (R, Python, SAS, Stata, MATLAB, etc.).
  • Experience in translating analysis results into business recommendations and business questions into an analysis framework.
  • Experience with creating complex data sets (SQL), data modeling and reporting.

Preferred qualifications:

  • Master's or PhD degree.
  • Coding experience with Java, Scala or similar language.
  • Deep interest and aptitude in data, metrics, analysis and trends. Applied knowledge of measurement, statistics and program evaluation.
  • Distinctive analysis skills and impeccable business judgment. Strong written and verbal communication skills.
  • Excellent problem-solving capabilities and critical thinking skills, while demonstrated independence

Algorithm Developer

WSC Sports

WSC is looking for a computer vision Algorithm Developer to join our team in developing our next-generation of automatic sports video highlights engine. If you are passionate about state-of-the-art machine learning methods, video analysis, problem solving – we are looking for you!

What you’ll do:

Develop end-to-end real-time solutions for sports content automation using state of the art technologies and architectures of video, audio and data analysis

Full R&D cycle, from problem definition and research to implementation with a high level of autonomy

What you’ll need:

MSc or PHD in Computer Science or Engineering degree with focus on AI/Computer Vision/ML

Hands-on experience and understanding of deep learning frameworks (TensorFlow – advantage)

Experience in Python programming – Advantage

Practical experience in Computer Vision – Must

Practical experience in audio analysis – Advantage

Team leader Deep Learning

Rafael Advanced Defense Systems

Take a part in leading developing unique algorithmic products,  In Rafael Advanced Defense Systems , manufacturer's state-of-the-art systems, in Tel Aviv

We are seeking for a talent team leader Algorithmic developer/ researcher

With vast experience in deep learning, machine learning, with strong Mathematical background

Job Requirements:

At least 2 years experience as a team leader algorithm developers within the field of deep learning, machine learning

And 4 years experience as a algorithm developers

M.Sc. in mathematics, physics or computer science

Strong Mathematical background.

You: Alexa, I am looking for a new career opportunity, where I could do innovative development in AI and impact millions of customers, what do you suggest?
Alexa: The Alexa Shopping team is looking for Machine Learning Engineer to help me become the best personal shopping assistant. Do you want to hear more?
You: Yes, please!

The Alexa Shopping team is looking for Machine Learning Engineers to help Alexa turn into the best personal shopping assistant. Positions are open in our Herzliya offices.

As a Machine Learning Engineer in the Alexa Shopping Engineering team, you will be responsible for developing new natural language, search, and machine learning technologies that will power Alexa Shopping voice search experience. You will be working with top engineers and scientists, as well as with product teams, in Israel and abroad. Your work will combine data science, ML models development from exploration to production and software development.

The ideal candidate is familiar with research methodologies, devising, implementing and evaluating algorithms and is experienced with software development and launching algorithms in large-scale production systems. S/he has experience in one or several of the following fields: Web search, Web data mining, Applied/Theoretical Machine Learning, Natural Language Processing, Automatic Speech Recognition, Artificial Intelligence, Large-Scale Systems. S/he also shows passionate about new technologies and answering customers’ needs.

BASIC QUALIFICATIONS

  • MSc. in Computer Science or related field
  • 5+ years professional experience in software development
  • Computer Science fundamentals in object-oriented design, data structures
  • Computer Science fundamentals in algorithm design, problem solving, and complexity analysis
  • Industry experience in Machine Learning algorithms development and deployment to production
  • Expertise in NLP, AI or Search algorithms
  • Proficiency in, at least, one modern programming language such as C#, C++, Java or Python
  • Experience building complex software systems that have been successfully delivered to customers
  • Excellent written and oral communication skills in English
  • Proficient in ML/NLP frameworks such as PyTorch, TensorFlow, Keras, Scikit, SpaCy, or CoreNLP

PREFERRED QUALIFICATIONS

  • Research publications at peer-reviewed workshops, conferences or journals is highly desired Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
  • Comfortable challenging assumptions and thinking of creative ways to tackle problems

PROFESSIONAL QUALITIES

Professional traits that are not unique to this position, but necessary to succeed within the team:

  • Exhibits excellent judgment
  • Has relentlessly high standards
  • Is open-minded, and willing to examine even the strongest convictions with humility
  • Thinks strategically, but is comfortable with hands-on execution
  • Is action and results oriented
  • Is highly analytical and structured
  • Has the ability to inspire passion in others

Senior Data Scientist

Data Science Group
Data Science Group (DSG) is scaling up and looking for an experienced data scientist to join our team!
We are a lab with a strong team of experts which provide end-to-end solutions in machine learning and other data-science related aspects.
We are looking for a brilliant, independent, self-managed, science-driven, enthusiastic with an analytical sparkle and ambitious to join our team.
The successful candidate will take an essential part in our growing data science competency center.
Responsibilities:
* Take a core responsibility for our data science activities and address statistical, machine learning and data mining problems within a wide scope (fraud detection, predictions, recommendations etc.).
* Researching, identifying and analyzing new datasets and data sources
* Working closely with the management team, ensuring all the above meet the company’s business goals.
Desired Skills & Experience:
* B.Sc/M.Sc./Ph.D. degree in Engineering / Physics / Computer science / Mathematics / Statistics or other related field.
* Hands-on experience with R/Python/Spark/H2O/Tensorflow + relevant data science packages.
* 2+ Years of practical industry experience/expertise in machine learning, algorithm development, statistics, and data analysis or equivalent research experience
* Strong analytical skills – able to collect, organize, analyze & disseminate significant amounts of information with attention to details and accuracy
* Practical Experience with deep learning – An advantage
* Practical Experience with Bayesian statistics – An advantage

Chief Scientist

AbiliSense

AbiliSense has developed a sound recognition technology that can predict important events in real-time.

We are looking for a Data Scientist experienced with signal processing to join us in the journey of developing our next generation technology.

Requirements:

* Experience with Acoustic signal-processing (hands-on)

* Experience with Machine learning (hands-on)

* Experience with Python & PostgreSQL (C optional)

* Team Player (Must)

* Academic experience in relevant courses with data mining algorithms and Signal-processing.

* 3 years of relevant experience

Senior Data Scientist

SecuredTouch

As a Senior Data Scientist at SecuredTouch, you’ll enter a company with innovative teams, cutting edge technologies and a whole new approach to Fintech solutions. With leading mobile solutions in the fast growing Behavioral Biometrics field, you’ll play a crucial part in building our core technologies and helping us deliver them to millions worldwide.

Responsibilities:

Designing and Implementing Machine Learning algorithms for huge data sets

Researching, identifying and analyzing new data sets and data sources

Working close with the engineering team and help implementing algorithms from research environment to the production environment

Working close with the management team, ensuring all the above meet the company’s business goals

:Required Skills

M.Sc degree in Engineering / computer science / mathematics / statistics or other related field

4+ Years of practical industry experience with machine learning, algorithm development and data analysis

Hands on experience with R/Python and SQL + relevant Data Science packages

Strong background in statistics

Strong analytical skills – able to collect, organize, analyze & disseminate significant amounts of information with attention to details and accuracy

Passion for solving complex problems with no straightforward answers

Practical Experience with Deep Learning – advantage

Data Scientist

Moon Active

Find the pattern that defines fun!

Moon Active, a Tel Aviv- based casual gaming startup with millions of players worldwide is looking for an experienced Data Scientist

Work with us on enhancing our games through data science. Predicting players next moves and balancing the experience for maximum fun!

  • Executing projects end-to-end from requirements gathering, data mining and exploration up to working with the backendBI teams in order to implement algorithms
  • Research, design, implement and evaluate advanced statistical approaches and models for our most complex business issues
  • Data extraction and preparation from huge data sets
  • LTV and churn prediction
  • Cost/Benefit analysis
  • Run game simulations
  • Work closely with the CTO, product and marketing teams

REQUIREMENTS

  • At least 2 years of real-world experience in the field of Data Science
  • Experience in R/Python and  data science toolkits
  • Data extraction, Feature engineering, and Development of machine learning models
  • Understanding of Bayesian and frequentist statistical methods
  • MSc/ Ph.D. in Computer science, Mathematics or relevant fields
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