Top Software Data Science Jobs

The Senior Data Scientist will leverage data insights to drive growth in lending, foster AI integration, and mentor colleagues while ensuring high-quality data reporting and visualization.

Design, build, and operate scalable enterprise data engineering and AI platforms. Architect lakehouse solutions, ETL/ELT pipelines (batch and streaming), enable Generative AI/NLP workflows, optimize PL/SQL and Python data processing, ensure DevOps/DataOps practices, mentor engineers, and partner with business and data science teams to deliver production-grade analytics and AI capabilities in regulated environments.

The Senior Data Scientist will build models and analyses, design experiments, integrate datasets, and leverage AI for improved workflows and insights in data science.

As a Senior Developer Advocate, you will lead community engagement in Data Observability, create content, mentor teams, and enhance product feedback from engineers.

The Manager of Data Science will lead a team focused on machine learning model development, team management, and cross-functional collaboration to advance product goals.

Lead Data Scientist responsible for guiding teams in data analysis, algorithm development, and AI application to address national security challenges. Engage stakeholders and oversee algorithm testing and evaluation.

Maintain and audit high-resolution image datasets, correct labels and classifications, support data annotation quality, diagnose and validate deep learning model issues, perform field tests, document results, and collaborate with support and field teams to prioritize fixes that improve product reliability and customer satisfaction.

Lead and build a US-based data science capability while remaining hands-on: write code, design, deploy, and maintain production ML models, mentor junior data scientists and ML engineers, establish MLOps and data-science workflows on GCP, and align initiatives with product and global teams to deliver measurable business value.

The Senior Data Scientist will apply machine learning to improve cancer detection, collaborating across teams to analyze genomic data and develop innovative solutions.

Lead product analytics for in-vehicle experiences: define KPIs and instrumentation, perform deep-dive behavioral analyses, build dashboards and self-serve analytics, guide experimentation and causal inference, and mentor teams to scale analytics practices across the Vehicle Product organization.