Top Software Data Science Jobs

Research and develop scalable machine learning and data science solutions for Vrbo pricing and monetization. The role applies causal inference, operations research, optimization, demand estimation, and experiment design to production systems. Responsibilities include defining performance metrics, analyzing complex datasets, collaborating with scientists, engineers, product managers, and analytics teams, communicating technical plans, and validating models through A/B testing.

Senior Data Scientist applying advanced analytics and AI/ML to optimize healthcare contact center sales, Medicare conversion, DTC engagement, intelligent routing, agent performance, and conversation workflows. The role analyzes contact center and customer journey data, translates business needs into technical requirements, validates solutions through UAT and release readiness, and partners with stakeholders across sales, operations, product, engineering, QA, and architecture.

Develops production-grade data products, predictive models, AI applications, pipelines, APIs, dashboards, and multimodal solutions for product cost optimization. Partners with engineering, purchasing, finance, manufacturing, and program teams to translate ambiguous business problems into measurable technical outcomes. Responsibilities include modeling, deployment, monitoring, MLOps, data governance, LLM and RAG applications, document intelligence, and communicating insights to technical and non-technical stakeholders.

Analyze and characterize conversational audio data, identify underrepresented areas, and build active-learning and human-in-the-loop workflows. Develop representative benchmarks, automate model adaptation, and create reusable data analysis and scoring systems. Partner with research, engineering, and data teams to run experiments, improve models, organize data, and translate complex findings into measurable product improvements.

Owns analytics, experimentation, reporting, and advanced statistical and machine learning analysis for Realtor.com’s consumer and partner platforms. The role defines metrics, analyzes behavioral data, builds trusted datasets and dashboards, informs product and business strategy, mentors data professionals, and partners with engineering to productionize models. It also develops AI-enabled analytics workflows using LLMs, RAG, semantic search, and agentic tools.

Leads a data science team and personally drives analyses, experimentation, and product analytics to identify patient experience improvements. Partners with Product, Engineering, Research, and Data Engineering teams to develop product features, evaluate business and product performance, guide product planning, and translate statistical findings into actionable recommendations. Manages and develops analytical talent while applying data storytelling, A/B testing, marketplace metrics, and retention, conversion, engagement, and churn analysis.

Conduct data analyses, identify product and business improvement opportunities, communicate actionable recommendations, build metrics and dashboards, and support strategic decisions. The intern will collaborate cross-functionally with product and business teams, using SQL and scripting languages such as Python or R. The role is based in Notion’s San Francisco office from January 25 through April 16, 2027.

The job description does not include specific responsibilities or qualifications. The role is identified as Principal Data Scientist and may be performed remotely, in an office, or in a hybrid arrangement, depending on the employee’s location and Atlassian’s legal entity availability.

As a Senior Data Scientist, you will develop technologies for signals exploitation, perform data analysis, and implement algorithms while collaborating with project teams.

Lead product-focused data science for Cash App Lending: define measurement frameworks, run experiments, analyze customer and risk data, use AI tools to accelerate analysis, partner with product/engineering/risk, drive technical standards, and mentor junior data scientists to inform product and policy decisions.