eCommerce

Noogata is the leader in no-code artificial intelligence (AI) designed from the ground up for citizen data analysts. We’re democratizing AI for enterprises and making it accessible to the common business user. 

Founded in 2019, backed by world-class VCs and offices in Tel Aviv and NYC, Noogata is one of the fastest-growing and most exciting companies in the Enterprise AI space. 

We are looking for a ML data engineer with a passion for building data-driven enterprise products. You will be part of our data science and engineering teams to bring models and end-to-end AI-driven solutions into production. 

Responsibilities

  • Part of the Data team where you will be part of end-to-end ML projects (from data extraction through model validation & model deploying and monitoring)
  • Understand and transform data science prototypes into production-ready applications.
  • Research appropriate datasets and various data representation methods and extend existing ML capabilities, libraries, and frameworks.
  • Perform design architecture for ML pipelines and data-driven systems.
  • Design, develop, implement, troubleshoot, optimize, and tune ETL processes
  • Collect and manage data from different sources

Be part of a startup company: Help set priorities and make design decisions based on your experience and insights.

Requirements

  • BSc in Computer Science, Computer Engineering, or related field; Master’s degree is a plus.
  • 2-3 years of experience in the industry as a Machine Learning/ Data Engineer or similar role.
  • Highly skilled with SQL and Python – must
  • Understanding of data structures, data algorithms, and software architecture.
  • Experience with big data technologies such as Hadoop, MapReduce, Hive, Spark, PIG etc.
  • Experience with Building API integrations with 3rd party vendors
  • Capable of working autonomously and within a team as necessary.
  • Outstanding analytical and problem-solving skills.
  • Ability to advise and collaborate with researchers on software engineering tools and practices.
  • Excellent communication skills.

Advantages

  • Experience in delivering insights using visualization tools (such as Tableau, Looker, Qlik, etc). 
  • Experience with streaming services and databases
  • Experience with GCP cloud services.
  • Experience with ML cloud products (AutoML, speech-to-text, etc.)

Data analyst

Noogata

Noogata is the leader in no-code artificial intelligence (AI) designed from the ground up for business users. The company provides a modular, expandable platform that is ready for immediate use, thanks to pre-built, domain-focused blocks that "speak the language of business" and target unique, mission-critical use cases. Noogata delivers the benefits of best-in-class AI for maximum business impact without the complexity and costs of having to develop it or maintain the AI solutions. Founded in 2019 and headquartered in Tel Aviv, privately-held Noogata is backed by Team8 and Skylake Capital. To learn more, visit https://www.noogata.com/.

We are looking for an experienced Data Analyst. In this role, you'll be a part of our Data team, working closely with data scientists, data engineers and product managers To help us gain a better understanding and extract more insights from our data and models.

Requirements

  • 5+ years of experience as a Data Analyst
  • experience working in SQL
  • experience working in Python
  • Problem solver, able to take a problem and propose relevant solutions
  • BA/BS in Industrial engineering/Computer science/Accounting or Similar or equivalent work experience
  • Experience working with visualization tools
  • Experience working with Ecommerce companies- advantage
  • Proven ability to extract insights from large datasets

Responsibilities

  • Define and analyze large datasets across multiple internal/external sources using different tools (Python, BI tools, SQL and Excel)
  • Provide meaningful business insights from our data
  • Perform analysis to support business decisions based on changing needs
  • analyze and visualize our model results

data scientist

Noogata

Noogata is the leader in no-code artificial intelligence (AI) designed from the ground up for citizen data analysts. We’re democratising AI for enterprises and making it accessible to the common business user. 

Founded in 2019, backed by world-class VCs and offices in Tel Aviv and NYC, Noogata is one of the fastest growing and most exciting companies in the Enterprise AI space. 

We are looking for experienced, savvy, data scientists to lead and execute machine learning projects across multiple domains (demand forecasting, NBO, content classification, …) and throughout their lifecycle – from early feasibility research to productization and ownership of models. 

Responsibilities

  • Be part of a data-science team where you will lead end-to-end ML projects. (from data extraction through model validation & A/B testing to model deploying)
  • Develop supervised and unsupervised machine learning models as part of the Noogata no-code AI Enterprise offering
  • Develop and manage continuous-training pipelines to deliver models to production. Own and operate the process, continuously improving model performance
  • Work with engineering team to develop data collection strategies to create more value and accuracy in models 
  • Be part of a startup company: Help setting priorities and making design decisions based on your experience and insights.

Requirements

  • MSc or equivalent experience in a quantitative field (Statistics, Mathematics, Engineering, Economics, etc.)
  • At least 5 years experience Hands-on experience with data science projects from early-stage concept to production rollouts
  • Experience in managing data science projects/programs/teams.
  • Broad expertise in multiple industries/domains (vs a single field specialist).
  • An all-around data scientist: strong statistics background, strong analytical mindset, experience in experimentation, data visualization, machine learning algorithms, optimization and big data.
  • Broad knowledge of data science modeling techniques (ML, GLM, Clustering, DL, etc.) and their use within the industry SageMaker)
  • Experience with Python and SQL.
  • Excellent communication & interpersonal skills

Big Advantage: 

  • Experience with Cloud Platforms (GCP, AWS)
  • Experience in working in a agile data science methodology 

At Booking.com, data drives our decisions, Technology is at our core, and innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we can empower everyone to experience the world.

We’re looking for a Machine Learning Engineering Manager to join our Ranking team in Tel Aviv.

Ranking is our team in charge of the search ranking engine that powers all of Booking’s customer destination search queries. The team manages a state-of-the-art system that can scale and serve a large number of requests with minimal latency. This includes data processing, model training, evaluation and serving, and marketplace consideration. As a Machine Learning Engineering Manager, you will lead all the ML and data infra work and aspects of the Ranking team, ensuring we use SOTA methodologies and best practices to power our Ranking engine.

In this role, you will manage a team of ML & Data engineers, tackling challenges on large scale ML systems.

As a technical manager, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the team’s ML roadmap, and not be afraid to get your hands dirty with code when needed.

B.Responsible

You will be part of the Ranking ML & Data infra team that builds the ML foundations to power ML models serving millions of customers every day, you will manage the day to day work of the team, be responsible for the short term and long term planning of the team alongside the PMs and responsible for promoting innovation within the team. As the ML manager of the team, you are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.

When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.

Your responsibilities include:

  • Build a strong team within their area, by coaching and developing individual contributors
  • Prioritize work in collaboration with Product Managers and Technical Managers, depending on business needs and keeping stakeholders aligned at all times.
  • Translate machine learning vision and strategy into planning and execution, and ensure timely delivery of their plans.
  • Lead development of production-grade machine learning code, from models to features and pipelines, allowing for scalability, Realtime inference, monitoring and retraining.
  • Ensure the development of readable and reusable code, choosing the right technologies, coding methodologies, and approach from carefully designed rapid prototyping to software deployment at scale. Identify opportunities for platform-based development and reuse by abstracting business problems to generalized ML/AI solutions.
  • Monitor product health, performance and business impact and act accordingly when requirements are not met.
  • Identify underlying issues and opportunities across domains and situations that are not obviously related through application of structured thinking and logic.
  • Make things happen by maintaining motivation and conveying a sense of urgency, focusing on outcomes and accomplishments, while respecting the need to balance long- and short-term goals, by applying influencing techniques and decision making skills.
  • Drive, coach and mentor others through evidence and clear communication, explaining advanced technical concepts in simpler terms.
  • Continuously evolve your craft. Keep up to date with industry and academic standard methodologies, periodically explore new technologies, introduce them to the machine learning community and promote their application in areas where they can generate impact.
  • Actively contribute to Machine Learning at Booking.com through training, exploration of new technologies, interviewing,onboarding and mentoring colleagues.
  • Push for improvements, scaling and extending machine learning tooling and infrastructure, collaborating with central teams.

B.Skilled

Your skills include:

  • B.Sc. or higher in Computer Science, Artificial Intelligence, Software Engineering, or related fields.
  • 4+ years of relevant work experience (or equivalent), involved with the application of Machine Learning to business problems, preferably in a commercial environment, with at least 2 years managing ML engineers.
  • Strong knowledge in areas like e.g. Recommender Systems, Deep Learning, Information Retrieval, Computer Vision, Speech Recognition, Causal Inference, scaling ML models, etc.
  • Knowledge of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization.
  • Strong working experience in one or more general purpose programming languages, including but not limited to: Java, Python, Scala.
  • Experience with data-driven product development: analytics, A/B testing, etc.
  • People Development / Coaching / Mentoring experience & skills dealing with various people issues, strong interpersonal skills.
  • An understanding of end-to-end ML capabilities development – from research and modeling to productionizing the code.
  • A track record of developing and shipping software to production.
  • Stakeholder management experience.
  • Hands on and passionate about code reviews, quality and understanding in depth what the dev team is working on.
  • Experience and deep understanding in one or more of the following DL frameworks: TensorFlow, PyTorch.
  • Experience with Cloud solutions for ML, preferably AWS.
  • Experience with Big data & distributed systems such as: Hadoop, Spark, Kafka and streaming, Redshift.

 B.Offered

  • Performance-based company that offers career advancement, and lucrative compensation, including bonuses and stock potential
  • Discount on Booking.com accommodations with the “Booking Deal” including other perks and benefits
  • Diverse, unique colleagues from every corner of the world

MISTRIX is an early stage startup that develops hyper-personalized experiences on beauty e-stores. Using our cutting edge AI technology we help retailers to create a better shopping experience for their consumers. We are looking to expand our R&D team. By joining us, you will be able to make an immediate impact and play a critical role in bringing the company’s vision to life.

We are looking for a highly-skilled algorithm developer.

Job description:

As an algorithm developer in MISTRIX, you will be initiating, developing and optimizing innovative technologies and executing projects using advanced cutting-edge machine learning methods in the fields of computer vision, computer graphics, generative models, geometric learning and neural rendering.

Roles and Responsibilities:

  • Develop state-of-the-art algorithms in the fields of machine learning and image processing from training to deploying models to production.
  • Collaborate with brilliant algorithm researchers.
  • Build training and inference frameworks.
  • Maintain and optimize existing machine learning models.

Required Qualifications:

  • MSc in computer science, electrical engineering or similar field, with specialization in machine learning or image processing.
  • 3+ years hands-on experience in machine/deep learning algorithms development using Python (PyTorch – advantage).
  • Hands-on image processing development experience using C++ – advantage.
  • Ability to initiate and lead data-driven projects end-to-end.
  • Experience in deployment of deep learning models – strong advantage.
  • Experience working with AWS technologies (Lambda, S3, SageMaker) – advantage.
  • Experience in MLOps – strong advantage.
  • Strong research skills and mathematical background.
  • Self-learning ability.

At Booking.com, data drives our decisions, Technology is at our core, and innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we can empower everyone to experience the world.

We’re looking for a Machine Learning Manager to join our Content Intelligence team in Tel Aviv.

We build an AI platform that understands all aspects of our content (images, reviews, etc.) to provide a personalized experience for our customers.

In this role, you will manage a big team of ML scientists & engineers, tackling challenges in Computer Vision, Natural Language Processing and ML engineering.

As a technical manager, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the team’s ML roadmap, and not be afraid to get your hands dirty with code when needed.

B.Responsible

You will be part of the Content Intelligence team that builds the Content Intelligence Platform by consuming millions of images and textual inputs every day, and then enriching it with ML capabilities. Eventually, these will serve downstream applications and personalize our customers' experience (think of a way to choose and surface the right images and reviews when customers book their next vacation).

As the ML manager of the team, you are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.

When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.

Your responsibilities include:

  • Build a strong team within their area, by coaching and developing individual contributors
  • Prioritise work in collaboration with Product Managers, depending on business needs and keeping stakeholders aligned at all times.
  • Translate machine learning vision and strategy into planning and execution, and ensure timely delivery of their plans.
  • Develop innovative ML models, algorithms, and engineering approaches or identify existing ones, with the potential to impact our business. Design and execute applied research plans to understand, apply, test, evolve, and generalise these technologies into reusable frameworks.
  • Translate business problems into viable, reliable and robust ML and AI solutions, accounting for constraints of the production environment.
  • Monitor product health, performance and business impact and act accordingly when requirements are not met.
  • Identify underlying issues and opportunities across domains and situations that are not obviously related through application of structured thinking and logic.
  • Solve issues by applying methods and insights gained from a variety of disciplines, navigating a variety of environments.
  • Make things happen by maintaining motivation and conveying a sense of urgency, focusing on outcomes and accomplishments, while respecting the need to balance long- and short-term goals, by applying influencing techniques and decision making skills.
  • Drive, coach and mentor others through evidence and clear communication, explaining advanced technical concepts in simpler terms.
  • Continuously evolve your craft. Keep up to date with industry and academic standard methodologies, periodically explore new technologies, introduce them to the machine learning community and promote their application in areas where they can generate impact.
  • Actively contribute to Machine Learning at Booking.com through training, exploration of new technologies, interviewing,onboarding and mentoring colleagues.
  • Push for improvements, scaling and extending machine learning tooling and infrastructure, collaborating with central teams.

B.Skilled

Your skills include:

  • Advanced knowledge and experience in Computer Vision and Natural Language Processing, engineering aspects of developing ML models at scale.
  • Experience designing and executing end-to-end research and development plans and generating impact through large-scale machine learning model development. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like.
  • Relevant work or academic experience (MSc + 5 years of working experience, or PhD + 3 years of working experience), involved in the application of Machine Learning to business problems.
  • Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Engineering Mathematics, Artificial Intelligence, Physics, etc.).
  • Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.
  • Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).
  • Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies. Working experience with version control systems.
  • Excellent English communication skills, both written and verbal.
  • 3+ years leading an ML team of a minimum of 4 people in a fast-paced production environment.
  • Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels
  • Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators

B.Offered

  • Performance-based company that offers career advancement, and lucrative compensation, including bonuses and stock potential
  • Discount on Booking.com accommodations with the “Booking Deal” including other perks and benefits
  • Diverse, unique colleagues from every corner of the world

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

Bigabid is an innovative technology company led by data scientists and engineers devoted to mobile app growth. Our proprietary ad platforms powered by machine learning are the outcome of that devotion.

We deliver valuable results and insights for a fast-growing clientele of major app developers using elite programmatic user acquisition and retargeting technologies. Our ever evolving, state-of-the-art machine learning technology analyzes tens of TB of raw data per day to produce millions of ad recommendations in real-time.

We are looking for an experienced data scientist who is passionate about exploring complex data sets, drawing meaningful insights, and building high-quality real-time data products that compliment our robust arsenal of industry-leading technologies.

Bigabid is a fantastic place to work. We reward talent. Our employees support each other to advance individually and as a team. Most of all, we exceed our client’s expectations while still having fun.

Key Responsibilities:

  • Deliver end-to-end ML products – including data QA, research, model development, prototyping, offline validation, implement in production and online testing
  • Develop ML solutions using advanced techniques to a diverse sets of problems.
  • Analyze huge amounts of complex data to identify meaningful patterns and build useful features for machine learning models
  • Apply the scientific method to design, create, tune, and interpret machine learning models
  • Write production code in Python and Spark
  • Perform data manipulation, validation, and cross-domain research
  • Come up with new and creative research ideas and insights
  • Collaborate with our product and engineering teams to solve problems and identify trends and opportunities.

Requirements:

  • 4+ years prior experience as a Data Scientist
  • Experience with data science tools (Jupyter Notebook, Pandas, Scikit-learn)
  • High level scripting and programming skills in Python
  • Strong critical thinking and analytical skills
  • Excellent spoken and written English
  • Excellent communication skills
  • Team player, responsible, delivery-oriented
  • Troubleshooter, problem-solver who knows how to navigate trade-offs
  • Work experience as a data analyst – an advantage
  • At least a BA/BSc degree in a quantitative discipline such as computer science, statistics, economics, bioinformatics, information systems etc

At Alexa Shopping, we strive to enable shopping in everyday life.

We allow customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Amazon Show, Spot, Echo or Dot. Our Services allow you to shop, no matter where you are or what you are doing, you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking the industry's best to help us create new ways to interact, search and shop. Join us, and you'll be taking part in changing the future of everyday life.

Alexa Shopping is looking for an experienced Data Scientist to be a part of a team solving complex natural language processing problems and customer demand insights (including segmentation analysis and personas building using big data, ML and potentially AI). This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build simulations and experimentation systems at scale, build optimization algorithms and leverage cutting-edge technologies across Amazon. This is an opportunity to think big about how to solve a challenging problem for the customers and understand their requirements for products.

The ideal candidate will have extensive experience in Science work, business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities in sourcing processes. Excellent business and communication skills are a must to develop and define key business questions and to build data sets that answer those questions. You should have a demonstrated ability to think strategically and analytically about business, product, and technical challenges. Further, you must have the ability to build and communicate compelling value propositions, and work across the organization to achieve consensus. This role requires a strong passion for customers, a high level of comfort navigating ambiguity, and a keen sense of ownership and drive to deliver results.

At Alexa Shopping, we strive to enable shopping in everyday life.

We allow customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Echo or Fire TV. Our Services allow you to shop, no matter where you are or what you are doing, you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking the industry's best to help us create new ways to interact, search and shop. Join us, and you'll be taking part in changing the future of everyday life.

The Alexa Shopping group is seeking talented and experienced Machine Learning engineers to design and develop Natural User Interface (NUI) shopping experiences and algorithms.

You'll have the freedom (and encouragement) to experiment, improve, invent, and innovate on behalf of our customers. You will have an impact on Amazon's new devices and the way shopping is done in the area of IoT. And finally, you will have the satisfaction of being able to look back and say you were a key contributor to something special from its earliest stages.

About NCR

Helping retailers and consumers interact is what we do – and what we’ve done for 130 years. NCR’s portfolio of retail solutions enables seamless consumer interactions, whether in the store, on the go or at home. Our innovative solutions address retailer needs in multiple industries from grocery to general merchandise to convenience stores and specialty retail including POS software, hardware, kiosks, digital signage, self-checkout, services and more.

What are we looking for?
We are looking for an experienced Senior Data Scientist to join our fresh R&D team. If data and statistics are your breakfast, algorithms are your dinner, and you’re passionate about solving complicated real-world challenges, deliver impact, and investigating human phenomena – please reach out!

Responsibilities

  • Derive insights from unique and challenging big retail datasets.
  • Research, develop and integrate data science and machine learning algorithms in customer workflows.
  • Conduct end-to-end applied research, from business understanding, through EDA to models designing, construction and deployment.
  • Communicate outcomes intelligibly to stakeholders.
  • Boost our evolving team with creativity, motivation and innovation.

Must have

  • BSc in Computer Science / Mathematics / Electrical Engineering or equivalent quantitative academic field.
  • 4+ years of programming experience in Python programming and SQL.
  • 4+ years of machine learning hands-on experience.
  • English fluency.

Nice to have

  • Experience with the retail business – problems, needs and opportunities.
  • Experience with software – algorithms, distributed computing (Spark/dask), open source projects experience, Docker, GIT.
  • Experience with developing AI models on cloud environments (GCP / AWS / Azure).
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