Staff Data Scientist
September 25
Description
• Collect, clean, analyze big data and implement Big Data Strategy • Develop and deploy advanced data science solutions to uncover insights from complex datasets • Craft data infrastructure by translating business requirements into data models • Build and validate predictive models using machine learning algorithms • Create dashboards and reports to communicate findings to stakeholders • Monitor and improve data quality and efficiency of data processes • Collaborate with cross-functional teams to identify data needs • Provide training to enhance data literacy
Requirements
• Bachelor’s Degree in Data Science, Computer Science, Statistics or a related field plus at least 6 to 10 years of recent experience • Experience with data exploration, data cleaning, data analysis, data visualization and data mining, preferably in the medical device or healthcare industry • Strong knowledge of machine learning algorithms, statistical techniques and data visualization • Knowledge of or direct experience with Databricks and/or Apache Spark • Programming language and tool experience, ideally in Python, R, Scala and SQL plus a willingness to learn new software development languages to meet goals and objectives • Experience with data visualization tools (e.g., Databricks, QuickSight, Power BI) • Strong knowledge of data governance principles, data integration, data warehousing and ETL processes • Familiarity with data privacy and security regulations, such as HIPAA and GDPR • Ability to work collaboratively in a fast-paced, cross-functional team environment • Excellent communication and presentation skills with the ability to translate technical findings into actionable insights for non-technical stakeholders • Comfortable working asynchronously with a distributed team
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