Top Software Data Science Jobs

Provide analytical support in Data Science Division, design analytics solutions, and develop end-to-end analytical lifecycles. Collaborate with diverse teams and present findings to technical and non-technical audiences.

As a Senior Data Scientist, you'll design data-driven solutions, analyze performance, collaborate across teams, and communicate insights to drive decision-making.

Build and maintain financial data models and scalable reporting systems powering ARR, revenue, billings, and other metrics. Partner with Finance, Accounting, Investor Relations, Engineering, and Data teams to ensure data accuracy across close processes, forecast and analyze performance, and operationalize key financial metrics to support executive decision-making and public company reporting.

Momenti seeks a Data Scientist to analyze user gesture data and improve content interaction. Responsibilities include developing data pipelines and visualizing user behavior insights.

Use statistical modeling and analytical frameworks to shape data acquisition, validation, and ML training strategies for AD/ADAS. Develop metrics to characterize data distribution and diversity, perform ambiguous problem analysis to inform decisions, communicate findings to stakeholders, embed with engineering teams for domain-specific recommendations, and mentor data science engineers to drive best practices.

Design and implement forecasting models and algorithms for pricing and promotions, build features in the forecasting platform, clean and validate data, produce visualizations, write maintainable code, and collaborate with subject-matter experts and clients to translate data into retail business solutions.

Lead end-to-end on-chain data ingestion, attribution, and composability decoding for DeFi surveillance. Build and integrate wallet-clustering feeds, trace funds across chains and bridges, co-develop optimistic-oracle (UMA) surveillance R&D, and deliver versioned on-chain feature tables for detection and validation systems.

Lead data science research and develop scalable ML models, audience segmentation, propensity and recommender systems for marketing and eCommerce. Cleanse and integrate large disparate datasets, apply causal inference and A/B testing, define KPIs, ensure data governance and privacy, and communicate insights to product, sales, and marketing stakeholders to drive revenue and product improvements.

Create and review realistic, locale-specific mathematics tasks and scoring rubrics in the target language to evaluate AI systems. Score submissions for accuracy and regulatory alignment, produce gold-standard solutions, and provide expert feedback to improve AI performance in local mathematical contexts.

Lead end-to-end data science initiatives across pricing, dispatch, ETA, routing, and forecasting. Turn ambiguous logistics problems into production ML solutions, build data pipelines, partner with engineering to deploy models, establish evaluation and A/B testing, and work directly with customers and leadership to measure business impact.