Top Software Data Science Jobs

Work with product, engineering, and data teams to generate, label, and evaluate medication-focused datasets, review AI outputs for clinical accuracy, provide SME guidance for product features, ensure safety/compliance, and improve clinical intelligence processes and tooling.

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

As a Senior Data Scientist at Omnissa, you will lead the data science team to innovate AI/ML solutions, develop advanced analytics models, and collaborate on integrating machine learning into core platform features.

The Data Scientist will analyze claims data, develop predictive models, and work with unstructured data using R and Python in a financial services context.

Design and curate multimodal, multitask datasets and run controlled training experiments to evaluate how data composition affects world-model performance. Build large-scale synthetic data pipelines, filtering and quality-control systems. Define benchmarks and evaluations, and partner with product and creative teams to translate target behaviors into data strategies that enable simulation-driven AI capabilities.

As the Staff Data Scientist, you will lead the data science function, driving strategy, mentoring peers, and shaping product direction through advanced analytics and experimentation.

Lead a small data science team to build production algorithms and models across product and fair-play, partner with cross-functional teams to ship features, design cheating-detection systems, mentor data scientists, and communicate results to stakeholders.

Design and implement quantitative behavior metrics for autonomous vehicles, build and maintain data pipelines and dashboards, analyze large-scale vehicle logs and simulation data to identify regressions, set metric thresholds to support geofence expansion, and communicate findings to technical and non-technical stakeholders.

Own the member-facing mobile (and near-term signed-in web) product roadmap for AI-powered genomic experiences. Drive activation, engagement, retention, and trust by translating intelligence-layer capabilities into polished consumer UX, rapid prototypes, experiments, and clear PRDs while partnering with AI platform, engineering, bioinformatics, design, and customer success.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.