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Global brand, mid-level generalist data role in a metro with common toolset increases applicant competition.
Core data engineering and analytics skills are transferable, though scientific research domain knowledge slightly raises fit sensitivity.
Explicit 3-year minimum plus mandatory Python, SQL, Databricks/Spark and Snowflake skills increase screening strictness.
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Support Data Scientists and Product Owners in the Research Data Platform domains by performing data analysis and large-scale data preparation.
Create basic insights, recommendations, and metrics to evaluate data science algorithm performance, contributing to analytics projects with low complexity.
Communicate findings and project updates effectively to global stakeholders across various teams.
Minimum 3 years of relevant work experience.
Proficient in at least one programming language (preferably Python) and SQL.
Experience with Pandas, Apache Spark/Databricks, Snowflake SQL, and Collibra.
Knowledge of basic statistics relevant to data science (e.g., precision, recall, F-score).
Experienced in supporting data science teams with analytical and data governance tools in an Agile environment.
Comfortable handling large datasets and preparing data for hypothesis testing and prototype support.
Able to communicate complex data insights clearly to diverse global stakeholders.