Top Software Data Science Jobs

Senior BI Data Researcher will lead research and engineering across modern data systems: big data management, data cleaning, quality, metadata, search/discovery, information extraction, time-series and heterogeneous analytics, applied AI/ML, distributed processing, and query/storage optimization. Collaborates with research teams to build scalable tooling, ML models across diverse modalities (tabular, time series, text, audio, video), and edge-enabled architectures.

Build models, heuristics, and analytics that optimize model/provider routing and user experience for a large LLM marketplace. Partner with product and engineering to design user-facing data features, define product metrics, run deep analyses, and ship data-driven improvements tied to roadmap decisions. Scale analytical foundation in ClickHouse/dbt.

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.

Lead and execute enterprise Data Science strategy, build and scale a high-performing data science organization, establish model governance and lifecycle practices, drive adoption of ML/AI solutions, and partner with executives to deliver measurable business value.

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.