Top Software Data Science Jobs

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.

Lead end-to-end analytical workstreams to measure and improve acquisition, activation, retention, and advice. Design and analyze A/B tests, build and productionize churn/LTV/propensity and causal models, define data foundations with analytics engineering, create durable analyses and dashboards, and influence product, growth, and marketing decisions.

Internship role to develop and deploy user-growth algorithms: user segmentation, recommendations, LTV/churn/conversion models, A/B testing, causal inference analyses, and collaborate with product and engineering to drive measurable growth.

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 end-to-end data science projects: define problems, build/test hypotheses, deliver scalable solutions for productization. Perform advanced statistical and time-series analyses, collaborate cross-functionally, and translate insights into customer value while supporting deployment and system optimization.

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.

The Senior Data Scientist will analyze customer data, design experiments, build models, and support data-driven decision-making across product, marketing, and customer experience teams.

The Data Scientist will build AI-driven fraud and risk systems, work with real-world data, and leverage graph techniques to improve detection and labeling. They will partner with engineering to scale data systems in the compliance domain.

Work with product, engineering, and data teams to generate, label, and evaluate medication-focused datasets, review AI outputs for clinical accuracy, provide SME guidance for product features, ensure safety/compliance, and improve clinical intelligence processes and tooling.