Teams at Factored

Develop recommender systems, predictive models, forecasts, and analytical solutions to support strategic decisions and business optimization. Responsibilities include exploratory data analysis, model monitoring, data-quality assessment, performance refinement, and applying emerging data science methods. The role requires strong Python and SQL skills, machine learning expertise, effective communication, and at least four years of professional experience.

Generate partner-sourced pipeline and new business opportunities across Databricks, AWS, Anthropic, and other ecosystems. Identify and qualify deals, research accounts, engage senior executives, book qualified meetings for Account Executives, coordinate co-selling with partners, collaborate with internal teams, and maintain accurate CRM and pipeline reporting.

Designs and evolves scalable data architectures, ETL processes, pipelines, data models, API integrations, and cloud-based data infrastructure. Responsibilities include optimizing Databricks and Snowflake workloads, validating data quality, monitoring performance, supporting AI/ML initiatives, securing data, and collaborating with stakeholders. The role requires strong Python and SQL skills, experience with relational and NoSQL databases, cloud platforms, orchestration tools, large datasets, and version control. Graph technologies such as Neo4j are a preferred plus.