Data Scientist

We are seeking an experienced Data Scientist with a Master’s degree in Software Engineering, Computer Science, Physics, Chemical Engineering, or a related discipline. The successful candidate will have a minimum of five years of experience and a proven track record in DevOps-oriented environments, utilizing agile software development practices. The role entails developing a Python library and example notebooks to facilitate domain experts in analyzing large timeseries datasets within a Databricks data warehouse.

Main Responsibilities

The Data Scientist will primarily focus on:

• Developing and enhancing a Python library for data analysis.

• Creating example notebooks for domain experts.

• Implementing automated batch calculations to enrich measurement data.

• Collaborating closely with the data science team and stakeholders.

• Ensuring alignment with user requirements throughout the development process.

Key Requirements

• Demonstrated excellence in Python development.

• Proficiency in SQL.

• Experience with version control systems, particularly Git.

• Proficiency in using Jupyter notebooks.

• Experience working with timeseries data.

• Strong communication and collaboration skills.

Nice to Have

• Experience working in Databricks.

• Experience in a cloud environment, preferably Azure.

• Experience in developing user-facing Python libraries.

• Familiarity with Plotly Dash.

• Experience with Apache Spark or PySpark.

• Knowledge of CI/CD practices for automated testing and deployment.

• Product-oriented mindset with a focus on user needs.

• Background or interest in chemistry, chemical engineering, or electrochemistry.