FMC Human Resources
About Us
Department: IT / Software
- Driving Growth: Gain a deep understanding of how our business works and build strong relationships with business stakeholders to generate and deliver impactful data science products
- Taking Ownership: Have the chance to take end-to-end ownership for your data science products, spanning the entire technical workflow (incl. data ingestion, processing, model training, deployment and model management in production) and related project management responsibilities - you get a high level of autonomy and the responsibility that comes with it
- Amazing Customers: Put the customer/user of your data science product at the center of your product development - work closely with customers to deeply understand their needs and derive data science products that will deliver real value
- Winning Together: Participate in code reviews, peer mentoring and regular knowledge sharing sessions (brown bags, show & tells etc.) to grow and win together as a team
- Excellent academic background (a PhD is a plus) in a quantitative field such as computer science, engineering, economics, etc.
- Strong proficiency in Python, SQL and specialized ML libraries (e.g. scikit-learn, TensorFlow, PyTorch)
- Solid understanding of the benefits and drawbacks of different ML algorithms (incl. knowledge of deep learning models)
- First-hand experience working with relational/no-SQL databases and query technologies (e.g. Postgres, MongoDB, Presto, Hive)
- First-hand experience working with Docker, AWS services (e.g. S3, EC2, Data Pipeline, CloudWatch, CloudFormation) and Jenkins is a strong plus
- First-hand experience in deploying, maintaining, and updating models in production, as well as tracking experiments
- First-hand experience in serving ML models via APIs (e.g. Flask, FastAPI)
- Experience working end-to-end (from ideation to deployment) to deliver production-ready data products
- Experience working with business stakeholders (incl. gathering and translating business requirements into technical solutions, and explaining technical concepts to a non-technical audience)
- Experience in product management and/or project management (especially in a fast-paced agile environment using Scrum/Kanban) is a BIG plus
- Ideally experience working in e-commerce and/or having a good grasp of relevant data science use cases
- Excellent verbal and writing skills in English to allow effective communication with team members and stakeholders in meetings, presentations and documents