eCommerce

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).

Data Scientist

Supersmart

Job Overview

Supersmart is a company developing smart solutions for the retail industry.

We are looking for a Data Scientist who will join our data science team and help us develop advanced data driven solutions for our products. The team also supports our product, sales, leadership, and marketing teams with insights gained from analyzing company data. The ideal candidate is a Junior – Mid level Data Scientist with 1-3 years of experience building and working with ML models. They would have experience using a variety of machine learning methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Responsibilities for Data Scientist

  • Discover & suggest and asses new data sources and data gathering techniques.
  • Assess the effectiveness and accuracy of data sources and data based algorithms.
  • Develop custom data driven models and algorithms based on custom datasets.
  • Use predictive modeling to increase and optimize customer experiences and other business outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications for Data Scientist

  • Strong problem solving skills with an emphasis on product development.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts and experience with their applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • We’re looking for someone with 1-3 years of experience manipulating data sets and building models, has a Bachelor’s degree in Mathematics, Computer Science, Electrical engineering or another quantitative field, and is familiar with the following software/tools:
    • Good Python coding skills, Experienced in development in Python.
    • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
    • Experience querying databases
    • Experience creating and using advanced machine learning algorithms and statistics.
    • Experience visualizing/presenting data for stakeholders using existing tools.

About JOKR

JOKR is an extremely fast-growing, well funded international startup reinventing retail with 15-minute  or less grocery and consumer items delivery that allows shoppers to put less energy into planning, waste less, and save time whether they want to buy from global suppliers or local brands. 

Within four months, we’ve built hubs in 13 cities across 7 countries in North and South America and Europe. And investors and customers have noticed, which has given us the fuel to enter another 7 cities and build hundreds more hubs within the next two years. 

What We Need From You

We are looking for a Senior and Junior Data Scientist/researcher to join the personalization and recommendation team in our new Tel Aviv office, dubbed the Vision Team, which will propel us ahead of all existing competitors to come. Once clear goals are scoped by product, and datasets and data pipelines have been created per your and product request, we will leverage your applied and research expertise to train initial models, refining them based on test set performance and feedback from cross-functional stakeholders, developing new algorithms if needed, and finally producing one or more candidate models that meet the required accuracy and latency benchmarks to take the models to production. The role of the data scientist is prominent to our core Tel Aviv team, alongside data engineers. You should feel comfortable working in a Decentralised team structure, rather than a functional/centralized one. 

You should read this

Our culture is very important to us, so having a close knit family-like office that comfortably works and interacts together is a requirement.  The first round of engineers will have a tremendous impact on the infrastructure, the culture and the growth of the JOKR platform. You can MOST CERTAINLY expect team growth if we achieve our expectations and meet our goals. Hitting our goals will lead to new hires, who will be working under your guidance and leadership. Becoming a team lead or product POC can be expected. 

Responsibilities

  • Starting up our infrastructure and development environment from scratch
  • Identify and validate business use cases that can be solved with AI
  • Analyze and visualize data at different stages of the modeling pipeline, using both third party tools like Mixpanel or Amplitude, as well as running queries to visualize raw data yourself
  • Develop custom algorithms and data science models
  • Identify additional datasets or generate synthetic data
  • Develop data annotation strategies and validate the same
  • Coordinate with cross-functional teams to seek feedback on models, share results and implement models 
  • Work with full stack team to modify UI and front end to better improve model accuracy
  • Develop custom tools or libraries to optimize the entire data science modeling workflow
  • Presentation skills to present results and insights to leadership
  • Derive statistically valid insights from data science models to improve product development, marketing or business strategies

Keyword tech skills

  • Python, Java or similar ideal
  • Jupyter notebooks
  • Visualization: Matplotlib, Seaborn, Bokeh, Plotly etc.
  • SQL
  • Spark
  • Git, Github/Bitbucket
  • Cloud: AWS/Azure/GCP; SageMaker, S3, Boto
  • Familiar with Machine learning tools like: Scikit-learn, Fast.ai, AllenNLP, OpenCV, HuggingFace,  TensorFlow, PyTorch, MXNet, JAX, Chainer etc.
  • Hyperparameter tuning: Neptune, Comet, Weights & Biases
  • Collaborative Filtering, deep learning, recomnedation

Benefits:

  • Very Competitive Salary
  • Ideal life/work balance
  • Lunch benefits
  • Remote options once proved reliable
  • Generous PTO
  • Google like office culture
  • Contribute to a Fast growing international startup
  • Support local mom and pop shops/local producers
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