Top Tech Jobs & Startup Jobs

Design, build, and maintain production data infrastructure and pipelines; automate workflows; enable cross-team data access; perform large-scale data wrangling, statistical analysis, and visualization to deliver business insights.

Design, prototype, and productize scalable machine learning solutions using LLMs. Collaborate with clients and teammates to build production-ready systems, rapidly iterate prototypes, apply statistics and ML, and implement tooling and infrastructure for deployment and model-driven features.

Design, prototype, and productionize machine learning models for real-world problems using structured and unstructured data. Implement scalable ML systems, apply statistical methods, rapidly prototype research papers, and collaborate with engineering teams to deliver data-driven solutions.

Design, build, and optimize ETL pipelines, data schemas, and data tools to support analytics and data science. Tune SQL and databases for performance and collaborate with teams to scale data infrastructure using Snowflake, Python, and related tools.

Perform data labeling and validation, maintain databases/spreadsheets, research and compile information, communicate findings, provide administrative support, and collaborate with data science and engineering teams.

Lead data science engagements: partner with client executives, identify high-impact projects, design end-to-end data pipelines and models, build KPIs and production dashboards, mentor teams, and deliver scalable data products driving business impact.

Design, prototype, and productionize machine learning models from structured or unstructured data, build data products for business insights, and apply statistics and ML theory to solve client problems.

Drive outbound pipeline and qualify opportunities for an AI platform in B2B insurance. Run discovery calls, refine ICP and messaging with founders, and optimize prospecting using tools like Clay and Sales Navigator.

Join a small engineering team to design, prototype, and build scalable, performant SaaS products. Architect systems, set technical strategy, collaborate across teams, and take ownership of shipping production software.