Top Software Data Science Jobs

As a Data Engineer, you will create and optimize datasets and data pipelines, focusing on large-scale data collection across various modalities and collaborating with multiple teams.

The Director of Data Science leads the data architecture and team, transforming complex datasets into actionable insights and strategies that propel product development and business growth.

Founding data hire who builds end-to-end pipelines and models to convert messy enterprise data into AI-ready assets, defines data packs and ontologies, and builds internal tooling and automation so work compounds across customers. Works embedded with customer teams, partners with product and AI engineers, and makes architectural decisions about storage, orchestration, and data models.

Consult on predictive analytics projects: build, validate and deploy predictive models; extract and combine data from multiple sources; develop prototypes and recommendation engines; communicate value to clients; support internal initiatives and client engagements across retail, healthcare, and finance. Travel ~30%.

Develop and validate AI modules to evaluate customer safety and risk data, perform statistical and causal analysis, debug AI outputs, write and maintain SQL for ETL, conduct ad-hoc analyses to inform decisions, and build customer-facing live risk dashboards and visualizations.

Open submission for candidates interested in Product Engineering, Data Science, Revenue, or G&A at Neural Earth. Submit your resume and links describing your background and desired roles; submissions are reviewed on a rolling basis. Company focuses on AI research, geospatial science, distributed systems, and enterprise deployment, offering competitive compensation and comprehensive benefits.

Own analytics for institutional counterparties, build account-level metrics (volume, flow composition, spread capture, fee/rebate economics), monitor counterparty health and concentration risk, quantify institutional impact on market quality, support negotiations with data-driven valuations, and operationalize recurring reporting with analytics engineers.

The Data Scientist will collaborate with teams to shape product strategy using machine learning and econometric models on large datasets, measuring outcomes and designing data-driven solutions.

Lead design and implementation of scalable workflows to transform large geospatial/intelligence data into mission-ready analytic products. Script in Python, produce operational visualizations, provide senior-level direction and QA, and collaborate across NGA and IC to support intelligence operations.

Seeking a QlikView/Java expert with over 10 years of experience in data visualization and model development using QlikView. Responsibilities include dashboard creation, data integration, and administration of QlikView tools.