We help e-commerce businesses accurately track and forecast all kinds of metrics, including changes in profits and operational metrics. Our goal is to infuse AI into e-commerce, empowering shops to have an accurate picture of their business and make optimal choices that boost their bottom line.
Responsibilities:
* Understand and explore the e-commerce domain, research, build and deliver sound insights, recommendation and automation solutions.
* Use state of the art tools to achieve high and robust performance.
* Research, develop and maintain our AI repositories with quality algorithms by writing maintainable, performant code.
* Deploy and maintain your researched ML Models at scale within our cloud environment
* Implement the MLOps philosophy in everything you do.
* Constantly search for data driven value propositions for our clients.
* Constantly improve our model’s quality, and performance.
* Desire to continually keep up with advancements in data science practices.
Qualifications:
* 2+ years experience as a data scientist, applied researcher or similar in the industry
* M.Sc/Ph.D in exact sciences
* Engineering Background - either an Engineering degree or engineering experience.
* Experience in Machine Learning techniques, Time Series, NLP, Optimization, DNN, Recommendation Systems, Bayesian Optimization, and Data Science best practices.
* Deep theoretical knowledge in ML algorithms related to the relevant disciplines,
* Ability to write clean and concise code, ideally in Python, with the ability of writing production level code and the experience of deploying it.
* Excellent communication skills with the ability to clearly explain complex concepts to business stakeholders and the ability to work closely within a team.
* Creative thinker with a proven ability to innovate through data exploration and application of complex and multi-discipline solutions.
* Curiosity, high level of self learning capabilities.
* Experience using CI/CD tools - mandatory.
* Experience using Cloud (preferably GCP) and Distributed frameworks, e.g. Spark/Kubernetes - Advantage.
Please send CV to [email protected]
