Top Software Data Science Jobs

The Data Scientist will develop and optimize machine learning models, collaborate with Product and Engineering, and translate business problems into scalable data solutions.

The Senior Data Scientist will lead data-driven strategies across product growth, enhancement, and incentive design while collaborating with various teams to implement analytical solutions.

The Lead Data Scientist will enhance analytics through predictive modeling and data engineering, focusing on quality, feature generation, and continuous learning.

Develop decision support systems, conduct statistical experiments, analyze data to uncover insights using advanced modeling techniques, and communicate findings to stakeholders.

The Data Scientist I will develop machine learning solutions, analyze large datasets, and collaborate with cross-functional teams to drive growth.

As an Applied Data Scientist, you'll develop features that optimize customer interactions, collaborating with various teams to create effective models and evaluate performance.

The Data Scientist will analyze datasets using AI algorithms and statistical techniques, develop data strategies, and present findings to leadership.

The Applied Data Science Associate role involves training to become a Customer Facing Data Scientist, aiding clients in data science solutions, and supporting Federal customer engagement through AI and ML applications.

As Senior Data Science Manager, you'll lead the LTV team, driving strategic modeling of customer value, delivering insights to impact business decisions, and enhancing automation and reproducibility in data science workflows.

The Principal Data Scientist will adapt complex statistical concepts for executive decision-making, lead communication standards within the data science organization, and represent Databricks at industry events. Responsibilities include mentoring, producing strategic insights, and advancing scientific methodologies.