Data Science - ML Dynamic - email resume/cv to firstname.lastname@example.org
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 raised over $170 Million in funding and 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. We will leverage your applied and research expertise to train and refine models based on performance and feedback from cross-functional stakeholders, developing new algorithms if needed, and finally producing one or more models to meet the required accuracy and latency benchmarks to take models to production.
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.
Help build out our infrastructure and development environment
Identify and validate business use cases that can be solved with AI
Analyze and visualize data at different stages of the modeling pipeline, with ability to run 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
Visualization: Matplotlib, Seaborn, Bokeh, Plotly etc.
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, recommendation systems
Very Competitive Salary
Ideal life/work balance
Remote options once proved reliable
Google like office culture
Contribute to a Fast growing international startup
Support local mom and pop shops/local producers