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משרה בלעדית
16/05/2024
משרה זו סומנה ע"י המעסיק כלא אקטואלית יותר
מיקום המשרה: תל אביב יפו
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לפני 19 שעות
RYB Technologies
דרושים בRYB Technologies
Job Type: More than one
We develop cutting edge API driven banking solutions to some of the largest names.

You will:
Manage a team that will design, develop, and implement predictive models, Machine Learning algorithms, and statistical techniques to assess fair lending risks and detect potential instances of discrimination
Analyze large datasets and identify patterns, trends, and potential areas of concern related to Fair Lending practices
Utilize advanced statistical methods to evaluate model performance, including model calibration, validation, and interpretation of results
Collaborate with cross-functional teams to understand business requirements and develop data -driven solutions for Fair Lending compliance
Develop and maintain of scalable data pipelines, data models, and analytical tools to support fair lending analysis and reporting activities
Requirements:
You have:
5+ years of experience in data analysis, statistical modeling, and predictive analytics within the financial services industry, preferably in Fair Lending or credit decisioning - Must
Bachelor's degree in Statistics, Mathematics, data Science, Economics, or a quantitative field. - Must (Advance degree an advantage)
Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must
Strong knowledge of advanced analytics and Machine Learning techniques such as regression and classification algorithms, including linear and logistic regression, k-nearest neighbors, support vector machines (SVMs) and other techniques
Experience working with cloud-based data platforms and technologies such as AWS and Sagemaker for scalable data analytics and Machine Learning
This position is open to all candidates.
 
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RYB Technologies
דרושים בRYB Technologies
Job Type: More than one
We develop cutting edge API driven banking solutions to some of the largest names.

You will:


Design, develop, and implement predictive models, Machine Learning algorithms, and statistical techniques to assess fair lending risks and detect potential instances of discrimination
Analyze large datasets to identify patterns, trends, and potential areas of concern related to Fair Lending practices
Utilize advanced statistical methods to evaluate model performance, including model calibration, validation, and interpretation of results
Collaborate with cross-functional teams to understand business requirements and develop data -driven solutions for Fair Lending compliance
Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices
Requirements:
You have:
Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must
Bachelor's degree in Statistics, Mathematics, data Science, Economics, or a highly quantitative field - Must (Advanced degree an advantage)
3+ years of experience in data analysis, statistical modeling, and predictive analytics within the financial services industry, preferably in Fair Lending or credit decisioning
Strong technical proficiency in data science tools and programming languages such as Python, R, SQL, with experience in developing predictive models and Machine Learning algorithms.
Strong knowledge of advanced analytics and Machine Learning techniques such as Regression and Classification algorithms, including linear and logistic regression, random forest and gradient boosting
This position is open to all candidates.
 
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7729286
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נאספה מאתר אינטרנט
15/05/2024
Location: Tel Aviv-Yafo and Herzliya
Job Type: More than one
We are looking for a highly motivated and experienced Principal Data Scientist to join our team! The Education Insights team in our Education builds and operates experiences to empower and delight learners and educators for the betterment of education of millions of users worldwide.

The successful candidate will have strong engineering capabilities with high Python proficiency and a deep understanding and experience in machine learning and AI. You will work closely with cross-functional teams to create cutting edge LLM-based experiences, make decisions using data and be responsible for developing innovative solutions that drive towards the future of AI in education. We are looking for enthusiastic and creative thinkers and doers to join us in meeting the challenge of shipping AI products that meet the needs of learners in a changing world.

Responsibilities:
Adopt, contribute to, and improve the teams existing technical stack and infrastructure to build differentiated features in the Education space.
Stay up to date with AI technology, advise on how we can adapt and embrace new technologies methodologies and ideas.
Provide hands-on technical work: design, analytics/modeling and fine tuning, dataset development, code reviews, development, quality assurance.
Build relationships with partners within our company (applied) Research Teams to bring innovation to new and existing products.
Foster a culture of inclusivity and disciplined data and software engineering practices to deliver business value, guided by data.
Creating and sustaining an effective team culture is extremely important to us. We value and promote a high trust environment where we work closely and effectively with others.
We emphasize a culture of continuous learning and so having a growth mindset and passion for learning is important. You should expect that your teammates will be invested in helping make you successful and expect the same in return from you. We recognize and celebrate the uniqueness of each person on the team and leverage our diversity to create more inclusive products for our customers.
Requirements:
Required Qualifications:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and
unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).
OR equivalent experience.

Preferred Qualifications:
10+ years of AI/ML experience in the industry (5+ years for PhD).
Technical skills in AI and machine learning.
Track record of shipping innovative AI-based products at scale.
Extensive and up to date knowledge and experience with LLM and other modern AI methods.
Coding skills and knowledge of Python AI ecosystem.
Problem-solving skills and creative thinking ability, coupled with a capacity to swiftly and independently grasp new technologies.
Ability to communicate, written and verbal.
Keen interest in Education.
Publications of AI-related research.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
06/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a passionate Senior Data Scientist to join our all-star team.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, results, marketing and data-oriented environment.

If you are experienced but still hungry to learn and impact - wed love to have you on our team!

What You'll Do:
Devise, initiate, manage and execute cutting edge exploration and exploitation projects.
Apply your knowledge of Data Science and algorithm development to create data solutions.
Analyze extremely large (petabytes) and diverse datasets to solve complex problems.
Develop algorithmic solutions to do it for you.
Proactively seek growth opportunities aligned with core KPIs
Partner with other functions in the company, to support decision making
Instant data gratification guaranteed!
Requirements:
5+ years of practical analytics experience in big data businesses (preferable - B2C company)
A hands-on, passionate person who likes to get to the bottom of things in terms of algorithms, data and business
Excellent analytical skills with experience in querying large, complex data sets
Strong understanding of statistical significance; Hands-on experience with machine learning algorithms; Python and data visualization tools such as Tableau, Looker, etc.
BSc degree (or higher) in Mathematics, Statistics, Engineering, Computer Science or any other quantitative field
Self-learner, multi-tasker, able to work independently
Self-sufficient proactive problem-solver
Excellent communications skills, both written and verbal
Familiarity with the Ad-Tech industry - a big plus
Experience in implementing real-time machine learning and data mining algorithms in large scale environments - a big plus
Fun to work with & a team player :)
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
 
נאספה מאתר אינטרנט
06/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a talented Data Science Team Lead who will help design and manage data-driven strategies and algorithms within the companys core acquisition engine and deploy them end-to-end.

We hypothesize theories and prove them in production within hours (instant data gratification!). You will become the focal point of our data team and streamline processes, and will be responsible over company revenue streams.

If you enjoy a high level of autonomy in a fast-paced business and work environment within a growing organization - take a seat!

What you will do:
Lead and mentor a team of extremely talented and success-hungry Data Scientists.
Initiate & manage cutting-edge projects from inception to delivery, including developing structured and automated solutions.
Lead the data strategy: be responsible for planning, prioritizing and building the right data solutions to support business needs.
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems.
Identify and propose data science and algorithmic solutions for various product initiatives.
Use your excellent communications skills, both written and verbal, to explain technical concepts and analysis implications to senior leaders, and influence cross-functional teams to improve performance.
Partner with other departments (i.e. Management, R&D, Product) to support decision making.
Requirements:
5+ years of practical analytics experience in big data businesses (preferable - B2C company) 2+ years experience of managing a team.
A hands-on, passionate person who likes to get to the bottom of things in terms of both algorithms, data and business.
Excellent analytical skills with experience in querying large, complex data sets
Strong understanding of statistics.
Hands-on experience with machine learning algorithms, , SQL, and data visualization tools.
Self-learner, multi-tasker, able to work independently, highly organized, proactive & problem-solver.
BSc degree (or higher) in Mathematics, Statistics, Engineering, Computer Science or any other quantitative field.
Big plus if you have experience in implementing real-time machine learning and data mining algorithms in large scale environments and familiarity with the Ad-Tech industry.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
 
נאספה מאתר אינטרנט
06/05/2024
Location: Tel Aviv-Yafo and Herzliya
Job Type: More than one
As a Data Scientist intern, you will formulate approaches to solve problems using well defined algorithms and data sources. You will incorporate an understanding of product functionality and customer perspective to provide context for those problems. You will use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data. Successful Data Scientists will interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve. You will engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers. As a Data Scientist, you will also engage in the peer review process and act on feedback while learning innovative met

Responsibilities:
Gain a basic understanding of a broad area of research and applicable research techniques, as well as a basic knowledge of industry trends and share your knowledge with immediate team members.
Apply strategies provided by Senior team members. Following guidance from team leaders, research relevant tools and technologies being used in the community.
Reinforce a positive environment by learning and adopting best practices. Maintain & develop ties with an external network of peers and identify prospective talent for our research pipelines.
Assist with documentation for senior team members. Learn and follow ethic and privacy policies while exeuctive research processes or collecting information.
Requirements:
Required Qualifications:
A Bachelor's degree in Computer Science, Computer Engineering, Infromation Systems, Industrial Engineering or Data Science.
Currently pursuing M.Sc. or Ph.D. in Data Science or related field AND relevant internship experience (e.g. statistics, predictive analytics, research in Machine Learning).
Proficiency in using Python and SQL.
Strong theoretical bacground in classical Machine Learning and Deep Learning.
Hands-on experience working with Large Language Models (LLMs): building applications, conducting experiments, and being familiar with techniques to evaluate their performance.
Must have at least 3 semesters remaining for graduation (graduation date: January 2026 and onward).

Preferred Qualifications:
Experience in setting up and working in Cloud environment.
Relevant publications in machine learning / NLP / data mining journals and conferences (e.g., ICML, KDD, AAAI, NeurIPS, ICLR, ACL, WSDM, ICDM).
Experience with deep learning frameworks such as Pytorch.
Previous experience as an ML or MLOps Engineer.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
16/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Data Scientist, you will report to our Senior Director of Data Science.
Typical responsibilities include designing efficient data science/ML/AI/statistical algorithms that leverage our homomorphic encryption or other private preserving technologies including federated learning, confidential computing, and more.
You will develop prototypes of your design and will work with our engineering team to integrate
solutions into a production privacy-preserving analytics product. You are expected to work closely with our crypto and software engineering teams. In this position, you must work independently and show creativity, problem-solving, and a can-do attitude.
The position is based in the Tel Aviv area.
Requirements:
Ph.D. in Computer Science, Mathematics, Physics, or a related field.
Experience in prototyping data science solutions especially with deep learning, generative AI,
and Large Language Models.
3 years of experience in a related position in the industry.
Knowledge and experience in algorithm analysis and design.
Proficiency in Python programming.
Ability and willingness to work on a team.
Good communication skills. Fluent in English.
Desired Skills :
Familiarity with privacy-preserving technologies such as Homomorphic Encryption, secure
multiparty computation, or differential privacy.
Experience with integrating or developing in a high-assurance production environment.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
09/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for highly talented, experienced, passionate, and data-driven Senior Data Scientists.
Create and develop ML models to drive the company forward and support decision making; while using data driven insights about our product, customers, business goals
Work in a team and independently, understand business requirements and how they relate to and support business KPIs.
Research creative data-driven ways to solve challenging real-world business problems
Design, establish, maintain and evolve the companys machine learning (ML) models
Develop production-level, scalable ML pipelines and models
Collaborate with analytics, business and data engineering teams and bring a proactive approach to handling anomalies and abnormal behavior within our DWH
Use your background in predictive modeling, advanced statistical analysis, ML practices and techniques and time series modeling to build new features and products.
Requirements:
BSc/MSc in a quantitative field (statistics, mathematics, computer science or equivalent)
7+ years of proven experience in developing and delivering end-to-end ML models, from data cleansing, feature engineering, algorithm development and implementation of models in production with real-world data
Deep statistical and mathematical knowledge (regression, linear algebra, properties of distributions, etc.) and the ability to understand, utilize and innovate on state-of-the art machine learning algorithms and statistical modeling
Advanced knowledge in ML and deep learning
Familiarity with standard frameworks in data science (Numpy, Pandas, Scipy, Sklearn), gradient boosting frameworks, DNN frameworks
Languages: Python, working SQL knowledge with relational databases, query authoring (SQL), working with a variety of datasets
Knowledge of NLP/text analytics - advantage
Experience with using LLM frameworks - advantage
Experience with BigQuery - advantage
Knowledge of C++ - advantage
Start-up experience - advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
 
נאספה מאתר אינטרנט
13/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

Were looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Key job responsibilities:
* Collaborate with ML scientist and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges.
* Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production.
* Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder.
* Provide customer and market feedback to Product and Engineering teams to help define product direction.
Requirements:
BASIC QUALIFICATIONS:
- Masters degree (or European advanced degree equivalent) in Computer Science, or related technical, math, or scientific field.
- Relevant experience in building large scale machine learning or deep learning models and solutions.
- Experience communicating across technical and non-technical audiences.
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet.
- Fluency in written and spoken Hebrew and English.

PREFERRED QUALIFICATIONS:
- Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models.
- Proven knowledge of AWS platform and tools.
- PhD degree in Computer Science, or related technical, math, or scientific field.
- Hands-on experience of building ML solutions on AWS.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
25/04/2024
Location: Tel Aviv-Yafo and Herzliya
Job Type: Full Time
Were a company of learn-it-all rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes.   
Are you ready to join us and create the future? Come as you are, do what you lovestart your journey with us today.
Data Scientists and AI researchers help to improve the quality and experiences of our devices and services. We are looking for highly motivated and passionate Data Scientists to design and apply rigorous scientific methodology and algorithms to improve devices, operating systems, and services. As a Data Scientist, you will provide unique insight into business and customer scenarios that cut across organizational boundaries and lead the growth of a data-driven culture.
As an AI expert, you will help push the state-of-the-art in computer vision, Natural language processing (NLP), speech recognition and speech enhancement, using extensive domain- specific knowledge, data, and compute resources. 
As a Data Scientist or an AI researcher intern, you will help formulate approaches to solve problems using various algorithms and data sources. You will incorporate an understanding of product functionality and customer perspective to provide context for those problems. You will use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data. Successful Data Scientists will interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve. 
You will develop real-world machine learning and deep learning algorithms in the domains of computer vision, natural language processing, recommender systems, and more. 
You will increase productivity of ongoing research projects and help to productize them, publish research papers in top-tier machine learning venues and issue patents.
You will engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
As a Data Scientist, you will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results. 
Requirements:
Proficiency in using one or more programming or scripting language to work with data such as: Python, C++.
Strong theoretical background in classical Machine Learning and Deep Learning.
Relevant publications in machine learning / vision / NLP / speech / data mining conferences (e.g., NeurIPS, ICML, ICAAPS, AAAI, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, NAACL RecSys, KDD, WSDM, ICDM)
Experience or course work applying ML to a type of data, including the application of ML algorithms on large scale data sets, and understanding of various ML algorithms and evaluations techniques.
Hands on experience in development of deep / machine learning algorithms in PyTorch/ TensorFlow for computer vision / speech / natural language processing applications.
Hands on experience with big data processing.
Experience in building industrial machine / deep learning systems.
Experience working in Cloud environment
Passion to learn from your peers, manager, and other stakeholders in the Data Science and AI domain.  
Ability to interact with peers and stakeholders to drive product and business impact. 
Strong interpersonal and communications skills.
This position is open to all candidates.
 
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