APPLY TO:
[email protected] and [email protected]
Start date: ASAP
As a Data Scientist, you will integrate the Data Science team crossing expertise in Computer Vision, Time Series Forecasting and Data Insights. You will be at the heart of the development of the Heuritech code base and data stack. Working along with our Product team, you will help to build and provide insights from data to our clients, based on our data warehouse. We expect this to be done mainly through the development of industrialized data solutions (methodology, data transformations and analytics) that can be further leveraged internally or directly accessible by clients.
Our full data pipeline starts with data gathering and ingestion, handled by the Data Engineering team. The data is then processed through Computer Vision AI models producing a large amount of semantic labels. Those models and their deployment are handled by the Data Science team. These labels are also aggregated throughout time to build time series, from which we construct various metrics and compute forecasts.
Under the supervision and guidance of the Data Science Lead, you will lead various projects and key components of our stack, from defining methodology and transformations to apply in our Snowflake Data Warehouse to defining new metrics to plug in our products. At Heuritech we encourage ownership and proactivity, so you will be granted a lot of autonomy to carry out your mission.
You will take part in developing robust data analytics products, help the business & Product team deliver insights to our clients, and help build the Data Science toolbox to make our processes more efficient. Being the go-to person on our data and the metrics we give to our clients, you will sometimes take part of the technical followup of some clients needs and help translate it into a technical solution. You will also be asked to explore our data to retrieve insights out of it and improve the methodology around our processes using data. As such, you will play a pivotal role between the Data Science team, Product team and Data Engineering team from the crawling of raw data to the delivery of actionable insights.
You have several years of experience (3-4+) in the fields of Data Science. You are familiar with working around big data topics around cloud solutions (SnowFlake / Google Big Query / Amazon Redshift) and you really like building clean and strong data solutions. We are looking for someone eager to give business-driving answers for our clients using our semantic data stored in a newly built data warehouse. We are looking for someone who loves to tinker with the data and likes to strive for code quality and scalability.
We are also looking for someone that will not only work on prototyping on a notebook but also industrialize and integrate the solutions in long-living data software. You are proactive and like to rechallenge the existing. You’re eager to transform technical debt into reliable, clean and well orchestrated data pipelines. You like to mock up new data explorations & viz along with business experts, and to try new technologies for that.