Top Data Science Jobs

The Principal Associate Scientist/Scientist I will perform biophysical and biochemical characterization of candidates including comprehensive protein analytics. Responsibilities encompass developability assessments, data interpretation, technical reporting, assay development, and maintaining high documentation standards. Collaboration with cross-functional teams is essential while managing laboratory operations and equipment maintenance.

You will train and apply predictive machine learning models to drive drug discovery programs, collaborating with teams to solve chemical design challenges and improve data processes. The role involves communication with both scientific and engineering teams to combine expertise in computational methods and biological insights.

The Oracle Applications DBA will manage and support Oracle databases, focusing on production support for Oracle EBS environments including implementation, upgrades, and performance tuning, utilizing various Oracle technologies and tools.

The Data Scientist will develop analytical products and improve predictive algorithms, focusing on machine learning applications and workflows. Responsibilities include leading a data science team, collaborating on projects, and mentoring in a small data context.

The Supply Chain Senior Data Scientist will analyze large datasets to develop data-driven solutions for Supply Chain challenges. Responsibilities include creating and deploying statistical models, machine learning algorithms, and advanced analytics solutions, while working collaboratively with stakeholders to enhance data-driven decision-making.

As a Senior Data Scientist at Brex, you'll oversee the full model development lifecycle, from conceptualization to deployment, focusing on AI solutions to efficiently manage financial risk including fraud and credit. You'll collaborate with cross-functional teams and ensure models are continuously refined based on stakeholder feedback.

The Senior Data Scientist will develop advanced statistical and machine learning models to predict customer behaviors, analyze large datasets using SQL, Python, and Spark, and collaborate across teams to improve user experiences. Responsibilities include enhancing customer journeys and implementing automated decision algorithms.