Data science

eToro is the world’s leading social trading network, providing millions of users from around the world a one-stop-shop solution for their trading and investing needs. Since 2007, eToro has positioned itself as a Fintech leader, pioneering revolutionary practices such as social trading and machine-learning-powered investment products.

eToro’s award-winning trading and investing platform is at the forefront of Fintech technology. Our Research and Development department develops cutting-edge technologies, focusing on field-relevant areas, such as blockchain and artificial intelligence. We promote an organizational culture which is both professional and fun.

Join us and lead a team of highly talented data scientists in a highly dynamic and challenging environment using cutting-edge technologies utilizing one of the most unique and richest financial databases in the world.

What will you be doing?

  • Lead the research, design, implementation and delivery of analytics-based algorithms to solve key business problems
  • Design and implement data driven features that will be integrated into company’s key products
  • Design and implement full data mining and machine learning cycles
  • Data sources extraction, feature selection and engineering
  • Building Models
  • Evaluation and improvements
  • Interface with R&D Groups, Product managers, BI teams and business stakeholders

Want to join? If you

  • Have BSc Degree in Computer Science, Information Management, Industrial/Electronics Engineering or related fields (MSc/Phd is an advantage)
  • ractical hands on experience/knowledge in developing algorithms in the fields of data science, machine learning or similar (experience in fields of trading/fintech – BIG advantage)
  • Have at least 2 years of data science management experience (5 people or more)
  •  5+ years experience in researching and implementing algorithms using Python, R, Scala, Java, C# or others
  • Experience with Big Data environments is an advantage
  • Good analytical skills and original thinking
  • Good system level understanding of problems
  •  Independent and innovative with the ability to lead problem definition and goal definition processes
  • Good communication skills
  • Fluent English

eToro is the world’s leading social trading network, providing millions of users from around the world a one-stop-shop solution for their trading and investing needs. Since 2007, eToro has positioned itself as a Fintech leader, pioneering revolutionary practices such as social trading and machine-learning-powered investment products.

What will you be doing?

Research, Design, Implement and Deliver analytics-based algorithms to solve key business problems

Design and implement data driven

features that will be integrated into company’s key products

Design and implement full data mining and machine learning cycles

Data sources extraction, feature selection and engineering

Building Models

Evaluation and improvements

Interface with R&D Groups,

Product managers, BI teams and business stakeholders

Requirements-

BSc Degree in Computer Science, Information Management, Industrial/Electronics Engineering or related fields (MSc/Phd is an advantage)

·        Practical hands on experience/knowledge in developing algorithms in the fields of data science,

         machine learning or similar (experience in fields of trading/fintech -BIG advantage)

·        2+ years experience in researching and implementing algorithms using Python, R

·        Experience with Big Data is an advantage

·        Good analytical skills and original thinking

·        Good system level understanding of problems

·        Independent and innovative with the ability to lead problem definition and goal definition

          processes

·        Good communication skills

·        Fluent English

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 our Head of Data Science, you will be managing our Machine Learning / Deep Learning / Data Science functions. You are a Data Science beast – you are comfortable with all major areas of machine intelligence, including Computer Vision, NLP, Tabular Data, Time Series, and Reinforcement Learning. You are a Deep Learning enthusiast, however, you understand that, sometimes, good old ML modeling and feature engineering perform much better. Your understanding of Statistics is better than 99.8% of the population (95% confidence interval = 99.7% – 99.9% 🤓).

What’s this job about?

As our Head of Data Science, you will be responsible for:

  • Translate our clients’ broad requirements into well-framed Data Science challenges.
  • Build plans, as good and detailed as possible, for Data Science projects, from idea to production, while fulfilling a set of constraints (budget, time, data, and more).
  • Adapt and improvise as those plans collapse and fail to meet the real-world (they always do).
  • Develop and train, by yourself, rapid prototypes and proofs-of-concept to test new ideas and to explore their feasibility and their potential value to relevant stakeholders.
  • Drive the end-to-end execution of our Data Science projects process, 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.
  • Manage end-to-end Kaggle-style Data Science competitions, on behalf of our clients.
  • Lead and mentor our enthusiastic and talented, but less experienced, Data Scientists – through example, evidence and clear communication. You are expected to be the patient mentor and the over-achieving pace-setter – at the same time!
  • Build our team. If all goes well, you are expected to grow our Data Science team from 3-4 Data Scientists to a team of ~10 – in 12 – 18 months.
  • Pursue business opportunities. We don’t hire salespeople. Our managers drive sales through intimate communication with our clients. You are expected to assist our customers to thoroughly understand the value of hidden potentials that can be unleashed by hiring us.
  • Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of Data Science disciplines and related fields.
  • Continuously evolve yourself by keeping up to date with the latest Data Science, Machine Learning & Deep Learning technologies.
  • You’ll be reporting to our CEO and will be a part of our management team. You are expected to actively take part in forming the company’s growth strategy.

Requirements

Personal

You flourish when you are surrounded by talented, sharp-minded people.

You think big – but you are everything but a bigshot. You love doing things yourself. You like mentoring others. You’ll never take a job that doesn’t have a significant hands-on portion.

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 Data Science, Machine Learning, and Deep Learning.

MSc or equivalent experience in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, etc.)

At least 5 years of successful, hands-on, Data Science positions.

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).

An all-around data scientist: strong statistics background, experience in experimentation, data visualization, machine learning algorithms, optimization, and big data.

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 “Head of DS application” in the email subject line.

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

A paper you have published (arXiv included).

A technical blogpost you have written (English or Hebrew).

A lecture/presentation you gave in a meetup/course/conference.

A Kaggle competition you have participated in and scored well.

An open-source project you have contributed to.

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 a meeting with Omer, our CEO, and together we will take it from there.

As the Data Science Director, you’ll be managing and growing a team of incredibly talented data scientists and researchers, and drive the successful delivery of Data organization NLP, ML and AI products while contributing to the strategy and the roadmap. This highly visible role reports directly to the Chief Data Officer, and is expected to effectively collaborate with a diverse group of peers across and at multiple levels of the organization. The successful individual will have proven ability to manage the data science team, delivering a variety of ML products.

The responsibilities of this opportunity include:

  • Lead, coach and support a highly effective group of data scientists and researchers to foster a high performance culture
  • Recruit world class talent and participate in the recruiting flow including attracting, screening, and closing high caliber candidates
  • Build trusting relationships and collaborate cross departmentally to execute on company strategy
  • Set the technical direction for the team, and make appropriate technology choices
  • Work effectively with product managers, engineers, analytics and the leadership team to allocate the resources appropriately across various projects, including balancing customer needs with longer-­term product roadmap needs
  • Travel internationally several times a year

A successful candidate will have the following qualifications:

  • Academic background in data science, including NLP, machine learning and AI
  • Proven experience in data science at startup and enterprise environments
  • Demonstrated track record of successfully hiring, managing, coaching and retaining world-­class data science talent
  • Deep technical expertise in natural language processing, statistical modeling, modern machine learning techniques, and experiment design
  • Exceptional interpersonal skills with a proven ability to build productive cross-­departmental relationships and motivate team members
  • A vision for what Data Science can and should be, as well as the ability to work with internal stakeholders to execute on that vision

Every cancer patient wants to know that their diagnosis, and the corresponding treatment, is determined with the utmost precision, and preferably with the most advanced technology. At Nucleai, we bring cancer patients cutting edge AI-based technology, by improving biopsy interpretation with machine learning and by creating novel precision medicine technology. We are looking for experienced machine learning / computer vision researchers to join our core team.

It is a great opportunity to:
-Do something that really matters.
-Work with a top notch team on complex vision and prediction problems.
-Be a part of an early stage endeavor backed by top VCs.

Come join our team of experienced AI engineers and world renowned clinicians, and help us make a difference.

Job Requirements
-At least 3 years developing machine learning algorithms – must
-At least 6 years of hands on software/algorithms development experience – must
-Deep learning and computer vision background – big advantage
-Exceptional software engineers with passion for machine learning are also relevant.

NLP/AI Engineer

Glean Labs

We are looking for a computational linguist or AI engineer

with experience in cutting-edge NLP.

Responsibilities

Research, design and implement the core NLP algorithms underlying

the company's product

Requirements

  • Great interpersonal skills, intellectual curiosity and passion
  • Proven work experience as an algorithm developer / data scientist
  • Proven work experience in NLP algorithms and packages (BERT, nltk, etc)

Skilled in

  • Python
  • Spark
  • Tensorflow or PyTorch
  • Ability to take concepts in NLP literature and translate them to well-tested code
  • Academic background in the exact sciences

Glean Labs is an automatic employee competency platform for large R&D organizations (500+ tech employees).

Operational and collaboration systems, used by tech employees on a daily basis, contain valuable data on actual work and processes taking place.

By gleaning and analyzing that data, Glean's algorithms automatically identify and continuously update employees’ skills, knowledge, and experience.

Managers and employees can use Glean's evidence-based insights to transform organizational processes (such as workforce planning, project staffing, internal mobility, knowledge sharing, and many others) into data-driven decision-making.

At BIyond, we utilize algorithms to process massive amounts of data in order to deliver the product’s core features.
We are currently expanding our team of Data Engineering and AI in order to handle the significant challenges of our customers.

We are looking for a Senior Data Scientist (NLP) to join our team.
One that truly loves data and is eager to use it to develop AI/ML products.

What you will be dealing with:
Implementing complex NLP and Text Mining algorithms on data stored in a variety of unstructured formats.
Handle free text and text extraction.
Parse and extract data from large text documents with complex formats.
Create templates for automatic extraction of data from similar formats.

Requirements:
4+ years of experience as a Data Scientist (NLP)
Hands-on experience developing applications using Python and Regex.
Proven work experience in NLP methodologies, solutions and algorithms.
Experience with Text Analytics, Text Processing and Text Mining.
Ability to take concepts in NLP literature and translate them to well-tested code.

Data Scientist

Anthem Inc

Anthem Israel is Hiring!

One of the largest healthcare insurance companies in the US has opened an R&D center in Israel and is looking for data scientists.

We are developing models that predict diseases years before they occur, using massive amounts of data from more than 80m people who are insured by us. If problems such as predicting benefit of chemotherapy for early stage breast cancer patients, rehospitalization risk after myocardial infarctions (heart attack) and more excite you, join us!

Requirements:

  • Solid understanding of statistics
  • Machine learning research experience (academica/insdustry)
  • Good coding capabilities and experience with DS python libraries (scikit-learn, pandas, numpy, scipy, impala/hadoop – a plus)
  • SQL
  • Background/education in biomedicine / healthcare – a plus

The Israeli R&D center is a small team with a startup mindset on one hand and the support and resources of a fortune 150 company on the other hand.

Data Scientist

Iron Source

?What's the job

We are looking for an outstanding data scientist to join Auras Data Science team. You will work on the design & development of our ML based solutions that drive content recommendations to over 130M users, optimize user experience based on users behavior, predict the best time to interact with users and much more. As a Data Scientist in the team, you will to drive initiatives from start to finish – work on the requirements with the product managers, drive the development with the teams, own the solution quality, define how to monitor effectively and more. Our recommendation systems are at the heart of our solutions and you will be the one making sure it ticks!

Responsibilities

  • Be part of a data-science team where you will lead end-to-end big-data ML projects. (from data extraction through model validation & A/B testing to model deploying)
  • Discovering and translating business challenges into data-pipelines and model framework.
  • Deliver fast while continually adjusting models according to real-time feedback.
  • Work closely with BI, Data-Engineering and DevOps teams
  • Convey complex analysis results clearly and with conviction to all stakeholder levels

Requirements

  • Minimum 3 years of relevant hands-on experience as a Data scientist / Machine learning expert
  • BSc or equivalent experience in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, etc.)
  • An all-around data scientist: strong statistics background, experience in experimentation, data visualization, machine learning algorithms, optimization and big data
  • Experience with at least one programming language, e.g. Python, Perl, C/C++, Java
  • Proven experience working with large data-sets and distributed computing ecosystems (i.e.: Hadoop and Spark)
  • Exposure to SQL and relational databases
  • Being able to train elementary machine learning models, to select the right tool or the right task and to judge when a model is good enough for a particular purpose
  • Excellent communication skills

Advantages

  • MSc or equivalent experience in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, etc.)
  • Prior practical experience in production with the elementary machine learning models such as logistic regression and random forests
  • Experience implementing a real-world Recommender or Ranking system
  • Strong experience in building and deploying ML algorithms in a production environment
  • Hands-on experience with industry standard ML libraries such as: sklearn, ML, MLlib
  •  Demonstrated abilities writing code in Python
  •  Experience working in Linux environment

?What's the job

We are looking for an outstanding data scientist to spearhead our Data Science team. You will lead the design & development of our ML based solutions that drive content recommendations to over 130M users, optimize user experience based on users behavior, predict the best time to interact with users and much more. As Head of Data Science, you are expected to drive the Data Science initiatives from start to finish – spot the problems we should solve, work on the requirements with the product managers, drive the development with the teams, own the solution quality, define how to monitor effectively and more. Our recommendation systems are at the heart of our solutions and you will be the one making sure it ticks!

Responsibilities

  • Make a major impact on Auras business goals & KPIs
  • Lead, mentor and grow the Data Science team
  • Set the vision & roadmap of Auras Data Science initiatives and guide the teams to execute on this vision
  • Participate hands on in implementing the teams core business logic
  • Lead end-to-end big-data ML projects developed cross multiple teams (R&D, BI, Data Engineering, Devop etc.)
  • Own the solution from design to production, ensuring smooth development and operation of our ML based solutions

Requirements

  • MSc or equivalent experience in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, etc.)
  • Experienced in leading and mentoring a team of highly skilled Data scientists
  • Strong Leadership skills
  • 3+ years of experience in Data science and design/implementation of ML models
  • Proven experience working with large data-sets and distributed computing ecosystems (i.e.: Hadoop and Spark)
  • Experience in deploying ML algorithms in a production environment at Big Data scale
  • An all-around data scientist: strong statistics background, experience in experimentation, data visualization, machine learning algorithms, optimization and big data
  • Proficient in Python
  • Hands-on experience with industry standard ML libraries such as: sklearn, ML, MLlib
  • Independent self-starter and team player
  • Excellent communication skills

Advantages

  • Ph.D. or equivalent experience in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, etc.)
  • Experience implementing a real-world Recommender or Ranking system
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