Data science

Fundbox is growing! We are looking for an exceptionally talented Data Scientist to lead our Risk Data Science team in Tel Aviv, Israel.
We are an innovative Fintech startup, with a mission of helping small businesses grow by accelerating their available cash flow. Our goal is to build a fully automated data-driven solution to evaluate the risk of each and every one of our customers. We put a lot of emphasis on using a novel approach for assessing risk as well as applying and developing cutting edge data science methodologies and algorithms.
As a Data Science Team Lead, you will have a crucial, cross-company role in developing novel risk prediction models. You will not only manage, but also participate hands-on in all aspects of initiating and developing research projects in the company.
This is a strategic position with direct impact on our business. It is also a unique opportunity to join a team of top notch data scientists who want to make a difference in the way we tackle one of the biggest problems in the Fintech industry.


Lead, coach, and develop a talented group of data scientists.

End-to-end responsibility from early exploration to deployment of advanced machine learning models.

Perform hands-on research to solve complex problems leveraging Fundbox’s unique datasets and product specifications.

Work closely with cross-functional teams such as product, engineers, and analysts.

Communicate data-driven insights and recommendations to key stakeholders.

Job Requirements

  • Advanced degree in a quantitative discipline (Applied Mathematics, Statistics, Computer Science, Physics) or equivalent experience.
  • 5+ years of experience in a machine learning-focused data science role or similar, with at least 2+ years of technical management experience.
  • Solid theoretical foundation and practical experience in machine learning algorithms.
  • Full proficiency in Python.

As a fast growing leading e-commerce company, with vast amounts of data we constantly enhance our algorithms to discover new data driven insights. Fiverr is a toy store for data scientists and you will have plenty of opportunities to make an impact. This is the perfect job for someone with a strong CS/AI/ML academic background and real world implementation experience. You will join a fast paced, highly technical and savvy group of doers who are building Fiverr’s platforms and algorithms. You will be working with developers, analysts, product managers, business owners and other groups in Fiverr

We are looking for a brilliant and experienced hands-on Data Scientist to join our product data science group.


  • * Own a business problem end to end.
  • * Apply machine learning based solutions to variety of product and business opportunities.


  • * A Doer, a winner, a savvy hands-on data scientist, highly analytical and a team player.
  • * PhD/MSc in Computer Science with focus on NLP, Machine Learning or related fields.
  • * 5 years of relevant experience.
  • * Experience with modern programming languages, SQL/NoSQL databases.
  • * Avid learner who enjoys learning exploring new territories.
  • * Experience with e-commerce is an advantage.

ZoomInfo is looking for a Senior Machine Learning Engineer to join a fast-growing R&D team. ZoomInfo has a massive database of curated contact information, making it an ideal use case for machine learning innovation. If you're passionate about working with large data sets, researching and developing innovative products, and having a big impact on a small team of innovators, drop us a note!


  • B.S./M.S/Ph.D in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Operations Research or similar field OR 5 years industry experience in same.
  • Excellent written and oral communications skills
  • Experience working with natural language, regression/classification/clustering, statistical methods, deep learning, etc.
  • Fluency with machine learning languages and tools such as Python, R, Octave, TensorFlow, Keras, scikit-learn, etc.
  • Familiarity and comfort with at least one *nix OS and related tools
  • Data Science background a huge plus
  • Experience with big data tools a big plus (Hadoop, Spark, etc.)
  • Non-ML back-end and front-end experience is a plus

It's a very fast-moving environment, so the role will require the ability to adapt, but you will be responsible for:

  • Working directly with Head of Artificial Intelligence Initiatives to identify direction and scope of new POCs
  • Analyzing ML algorithms and approaches to solve a given problem and identifying the best options
  • Designing, implementing, and training machine learning systems, as well as tuning their hyperparameters
  • Working with engineering team to deploy models to production
  • Working with Data Curation team to define criteria for the creation of new training datasets

R&D Data Scientist Lead

Elbit Systems

Cyber intelligence division (Elbit Systems) in Raanana is seeking a brilliant senior Data Scientist to join the R&D team. Our data is gathered from various sources, generating millions of records on daily basis in order to provide the top Cyber Security product to our customers. Our data science team develops solutions which are in the Core of Elbit’s products and are used as the basic foundations of our customer solutions.The candidate will report directly to the Head of R&D. The position will require a high degree of coordination with the company’s engineering, services, laboratory and business teams


Research, design and develop Machine Learning based algorithms, with emphasis on NLP and Big Data analysis

Apply statistical analysis and visualizations

Collaborate with product management to understand company needs and devise possible solutions


At least M.Sc. in Computer Science / Information Systems / Statistics / Operations Research / Mathematics / related field

At least three years of experience as a Data Scientist/Algorithm

Deep understanding of Big Data Analytics and Analysis

Deep understanding of Machine Learning (both supervised and unsupervised), optimization, ensemble methods, anomaly detection, and related Data Mining models and tools

Excellent programming skills, preferably Go, Python and Spark

Analytical ability to translate business requirements into a technical solution

Advantage – Deep understanding of Cyber Security domain

Advantage – Experience with large scale/distributed systems in production

Advantage – Working with cloud like AWS

Data Scientist

Elbit Systems

Cyber intelligence division (Elbit Systems) in Raanana is scaling up and looking for an experienced data scientist to join our team!

We provide cutting edge cyber solutions specifically designed for Defense and Law Enforcement organization combining Cyber-Defense and Cyber-Intelligence technologies

We are looking for a brilliant, independent, self-managed, science-driven, enthusiastic with an analytical sparkle and ambitious

What you’ll do:

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

The projects deals with developing learning processes in different territories such as security, networking, tactical intelligence and more


At least M.Sc in Computer Science / Information Systems / Statistics / Operation Research / Mathematics or related field

Hands-on experience with Python / Spark + relevant data science packages

2+ Years of practical industry experience/expertise in machine learning, algorithm development, statistics, and data analysis or equivalent research experience

Analytical ability to translate business requirements into a technical solution

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

Understanding of Cyber Security domain – An advantage

Experience with large scale / distributed systems in production – An advantage

Experience with Java / Scala – An advantage

Data Scientist


Our Data Scientist position responsibilities include prototyping and evaluating algorithms to get insights from car data to make the automotive world smarter, better, safer and richer, while handling all aspects of machine learning, statistics and other in-house algorithms.

You will take machine learning ideas all the way from early research to deployment up to production, and implement a wide spectrum of approaches and algorithms for a wide range of use cases.

We are looking for a strong Data Scientist to join the company’s core team and play a meaningful role in establishing the Data Science function of the company.


  • Research and develop statistical learning models for data analysis
  • Analyze large amounts of information to discover trends and patterns
  • Uncover deeper insights on data
  • Perform data exploration – Identifying types, relationships, outlier detection etc
  • Process, cleanse, and verify the integrity of data used for analysis
  • Propose solutions and strategies to meet business challenges
  • Collaborate with product management and engineering departments to understand company needs and devise possible solutions


  • One-year experience at a DS team
  • Experience developing complete ML pipelines: from data cleansing and feature engineering, to prototyping, and finally produce consumable deliverables
  • BSc in computer science, electrical engineering, or other related degrees
  • 2 years development experience in Python
  • Creative, data-oriented, results-driven, self starter, quick learner
  • A team player with a can-do attitude


  • Hands on experience with unsupervised learning
  • Proven experience running massively parallel ML (e.g., train a regressor over TBs worth of data)
  • Familiarity with map-reduce like frameworks
  • Experience developing Spark applications

We are Trigo Vision (!

We aspire to enable a cashier-less shopping experience; imagine walking into a supermarket, simply picking up whatever you need and exiting peacefully without having to wait in a single line.
Naturally, making this possible involves a huge algorithmic pipeline, and requires solving numerous computer vision tasks.

Thankfully, our team already includes amazing people – but we need more.

We very recently closed a 7M$ seed round from Vertex and Hetz ventures. We already have a working demo (and a real supermarket in our office) and some very interesting, international customers. Our offices (same ones with the working supermarket) are located in central Tel-Aviv. We sometimes have ice cream in the fridge.

So – if you are a nice, curious deep-learning researcher who wants to solve really cool problems and work with other talented people – this might just work 🙂

– Research-oriented education in deep learning (e.g. MSc/PhD) – or equivalent industry/military experience; this includes familiarity with at least one leading deep learning platform

– Strong programming skills with Python

– Be nice and pleasant to work with


– Experience with solving computer vision problems

Senior Data Scientist

Akamai Technologies
about the job:
If you have a deep passion for security, love handling massive data sets, and get excited from solving hard problems, Akamai is the place for you. We are seeking a highly motivated Data Scientist who will work on developing the next generation of Akamai's security products to protect our global customer base from APT attacks, cybercrime, and other malware threats. The Data Scientist will be a member of Akamai’s enterprise security team, and will focus on researching, designing and developing the Machine Learning algorithms for our security products, and on publishing and presenting security papers and blogs.
●Research our ever growing network traffic data set to detect malicious threats, C&C communications, compromised clients and domains, and other malicious anomalies
●Design Machine Learning algorithms identify and overcome threats using Akamai's big-data platform
●Contribute to the security community by producing and publishing blogs, security papers, and conference presentations discussing our methods and findings
●Stay up-to-date with the ML community and the security community

●Work closely with our engineers to deliver detection and prevention mechanisms


Major Qualifications:
●BA/MA in Computer Science or similar field, or equivalent experience
●Strong Machine Learning / Data Science or equivalent experience
●Strong coding and scripting capabilities in R, Python, Scala or other languages, and in SQL
●Creative, innovative, versatile individual, willing and able to explore new territories and solve hard problems
●Highly responsible, self-disciplined, self-managed, self-motivated, able to work in a fast paced, results oriented environment
●Excellent written and verbal communications skills.
Deisred Qualifications:
●Strong understanding of malware communications, botnet architectures, malware ecosystem etc – highly desired
●Experience with big data systems and Spark & Hadoop in particular — major advantage is a seed stage startup applying process engineering and data science technologies to create visibility, predictability and better control in IT (Information Technology) delivery processes, e.g. Project Management, Change Requests Processing, Incidents Resolution processes and more.

We analyze human process event logs and create actionable insights and delivery predictions.

We are looking for a lead data scientist / algorithm expert who is passionate about his/her work and experienced (or willing to become experienced) in Business Process Mining.

The chosen candidate will have the opportunity to be among the first data scientist in the company with a great impact on shaping our culture and methodology.

Data Scientist

שירות הביטחון הכללי - שב"כ

התפקיד כולל חיזוי, ניבוי והפקת תובנות החזית הטכנולוגיה לטובת מענה לאתגרים טכנולוגים ויישומים בלתי שגרתיים ומניעת טרור.

רק פניות מתאימות תענינה.

דרישות משרה

​תואר ראשון-חובה, תואר שני בתחום כמותי ומעלה- יתרון משמעותי

ניסיון ב- Deep Learning/ MACHINE -חובה.

ניסיון בפיתוח אלגוריתמים בPYHTON או R למסדי נתונים גדולים מאוד-חובה.

ניסיון בשליפות מול BIG DATA בשיטות שונות (Hadoop, Elastic Search וכו') -חובה.

יכולות אנליטיות גבוהות ויכולות לתרגם בעיות עיסקיות לפתרון טכני-חובה.

יכולות ניבוי , חיזוי והפקת תובנות מה-DATA- חובה.

ניסיון בפיתוח- יתרון.

פרסם משרה