Job at a glance
📋 Description Contribute to end-to-end data science projects, from initial problem definition through to Perform rigorous Exploratory Data Analysis (EDA) using statistical testing, distribution analysis Partner and collaborate closely with cross-functional teams on joint initiatives to deliver Support the identification and resolution of technical hurdles in developing scalable data science Take shared ownership of developed solutions, ensuring their ongoing maintenance, reliability, and Champion data literacy across Arrive by supporting non-data professionals to develop their 🎯 Requirements At least 3 years of experience working as a Data Scientist or in a highly analytical software Strong hands-on experience on Python and its data science ecosystem (for example Numpy, Pandas Proficiency in working with databases and SQL for data manipulation and analysis.
Experience working with cloud environments (e.g., AWS, GCP, Snowflake, Airflow) and familiarity Good understanding on MLOps concepts - CI/CD pipelines, model deployment and experiment tracking Solid knowledge of software development best practices, including version control and clean coding