Top Software Data Science Jobs

Integrate and analyze large, disparate datasets using statistical methods and machine learning to generate actionable business insights. Build and validate predictive models, analyze unstructured data, and present findings to stakeholders. Manage project budgets and timelines, and apply industry knowledge to deliver on-time, on-budget analytics solutions.

As a Data Scientist at Retool, you will analyze customer behavior and business performance, build analytical models, and provide insights to guide strategy across teams.

The Data Scientist will apply machine learning and statistical analysis to support mission analysis, develop analytical tools, and visualize complex datasets for insights.

Seeking a Senior Data Scientist to design, code, and improve models and algorithms, evaluate decision systems, and partner with teams to translate data into impactful behaviors.

Use large company datasets to build, validate, and deploy predictive models and algorithms to optimize product, marketing, and business outcomes. Partner with stakeholders to identify opportunities, implement models, monitor performance, and ensure data accuracy. Analyze third-party analytics and distributed data sources, create data architectures, and present insights to cross-functional teams.

Perform statistical and computational analysis on large, messy datasets to produce defensible conclusions. Build analytic models, perform statistical inference and prediction, translate mission needs into technical requirements, and communicate results to non-technical stakeholders. Maintain awareness of collection/processing limitations and recommend technical solutions.

Senior data scientist/exploitation specialist to integrate emerging EO and SAR sensors into NGA Maven pipelines, perform quantitative analysis, build ETL and visualization tools, develop software for labeling campaign management and imagery curation, and support ML model development, partitioning, and evaluation to meet operational intelligence needs.

As an Applied Data Science Intern, you will work on data innovation projects, focusing on AI-driven solutions, machine learning pipelines, and enterprise integrations while receiving mentorship from experienced professionals.

Turn raw customer supply-chain data into structured representations and models. Interpret and contextualize noisy data, form and test hypotheses, build inference, regression, simulation and optimization logic, validate model quality in production, and translate scientific requirements into engineering specifications while collaborating with data engineers and supply-chain experts.

As a Senior Data Scientist, you'll develop learning systems, algorithms, and models for optimizing marketing campaigns while collaborating with product development teams and engineering.