Top Software Data Science Jobs

The Sr. Data Scientist will design and optimize intelligent search solutions using Elasticsearch and GenAI technologies, engaging with customers to implement effective AI-driven search strategies and improve decision-making outcomes.

Lead and grow a team of data scientists, focusing on product strategy and data quality. Collaborate across departments to drive data-driven insights.

The Senior Principal Data Scientist will analyze complex data, develop machine learning models, and manage data pipelines for mission-critical operations.

The Lead Data Scientist will leverage advanced data science techniques to extract insights from complex datasets, guide AI/ML product implementation, and ensure compliance with ethical standards. Responsibilities include developing models, managing analytics transitions, and leading collaboration with stakeholders.

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

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

As Staff Data Scientist, you will drive advanced analytics to optimize sales performance, build predictive models, and develop insights for decision-making across the GTM organization.

The Senior Data Scientist will design data pipelines, build models for fraud detection, and automate data analysis using AI approaches, while managing cross-functional projects and mentoring junior team members.

The Data Scientist will build machine learning models to enhance claim audits, optimize performance, and improve healthcare decision-making by analyzing complex data sets.

Lead development, monitoring, and enhancement of credit risk models and loss forecasting. Extract and prepare large datasets, perform EDA, build pipelines and dashboards, automate reporting, and provide actionable insights to stakeholders. Maintain audit-ready documentation and participate in governance, validation, and scenario/stress analyses to manage portfolio risk.