Top Software Data Science Jobs

Embed within GTM Marketing to design experiments, build attribution, propensity, churn, segmentation, and conversion models; analyze product engagement and organic search signals; partner with analytics engineers to productionize models; and translate statistical results into actionable business recommendations.

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

The Data Scientist will transform data into actionable insights using technical expertise in programming and machine learning to improve decision-making and efficiency within teams, while guiding junior personnel.

The Data Scientist will develop and deploy ML models, analyze data, optimize AI pipelines, and collaborate with teams to deliver AI solutions. Responsibilities include model fine-tuning, data extraction, and staying updated on AI trends.

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.

The Senior Customer Data Scientist will develop and deliver AI solutions, enable customer adoption, engage stakeholders, and contribute to platform development in enterprise settings.

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.

The Data Scientist role involves designing and deploying machine learning systems, prototyping AI agents, collaborating with product teams, and addressing business problems. Responsibilities include model building, data analysis, client collaboration, and contributing to AI tooling.

The Head of Data will lead the data organization, define the company-wide data strategy, ensure high-quality decision making, collaborate across teams, mentor leaders, and establish best practices in data governance and execution.

Own end-to-end data science and ML work for B2C customers: build recommendation, forecasting, segmentation, and activation models; design A/B tests and causal analyses; create configurable multi-tenant model architectures; extract signal from sparse/noisy data; partner with engineering to productionize models and deliver analyses that change business decisions.