Data Scientist
hace 6 días
About the Role:
Centric Pricing, a leading AI-driven competitive assortment benchmarking and market trend insights solution, is seeking a talented Data Scientist to join our team. As a key innovation partner for iconic and emerging brands across the world, we analyze data from over 1,000 retailers, processing information from over 600,000 brands and tracking millions of products.
The Data Science team is responsible for enriching the data collected by our crawlers with machine learning models. Our models add valuable information to existing products, including categories, genders, attributes, colors, and bounding boxes.
We are looking for a skilled Data Scientist to work with our team to develop new machine learning pipelines and algorithms, ensuring the smooth operation of our current data science pipelines with the best performance. Key responsibilities include:
- Creating datasets from our vast data lake of products and social media data, selecting the most relevant items for your use case, and ensuring data quality.
- Hands-on training, deploying, productionizing, and operating Machine Learning models and pipelines at scale, including both batch and real-time use cases.
- Contributing to expanding and improving the infrastructure to support all stages of the machine learning model lifecycle, including feature engineering, feature store, model training, testing, monitoring, and deployment in a production environment.
- Proactively identifying and implementing internal process improvements, including automating manual work, optimizing data delivery, and redesigning infrastructure for greater scalability.
- Staying up-to-date with the latest industry trends and technologies to ensure our ML capabilities remain competitive and cutting-edge.
Requirements:
- 3+ years of experience working as a software engineer.
- Bachelor's degree in Computer Science, Engineering, or a related field.
What We Offer:
We code in Python, using Keras as our main Deep Learning framework, along with other machine learning and computer vision libraries like scikit-learn or OpenCV. On the engineering side, we use Django as our main framework for accessing the data. We are a cloud-native company, so our code runs in AWS. Our massive amount of data lives in PostgreSQL databases, and we monitor all this using observability tools like Grafana, InfluxDB, and Telegraf.
We are a collaborative and supportive team, and we are excited to welcome a talented Data Scientist to our team. If you are passionate about machine learning and data science, and you want to work with a talented team to develop innovative solutions, we encourage you to apply for this role.
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