Senior Product Data Scientist - Investors Vertical

This Senior Data Scientist owns the analytical and technical foundation of product data quality across impact.com's ecosystem, focusing on catalog hygiene, transaction matching, classification modeling, deduplication, and global product identity. The role involves building ML models for product categorization, improving GPID coverage and matching algorithms, and prototyping vector search and retrieval infrastructure, requiring strong engineering capabilities to take models from research to production with scalable data pipelines and monitoring systems.

This Senior Data Scientist leads modeling research for measurement capabilities across impact.com's partnership marketing ecosystem, focusing on attribution, identity resolution, and tracking quality. The role involves designing incrementality experiments, owning pipelines for end-to-end measurement, and serving as the technical counterpart for external identity and measurement partners, requiring 5+ years of experience with production-grade pipeline building, A/B testing, and fluency in Python/SQL, with nice-to-have experience in graph databases and privacy-preserving identity techniques.

This Senior Data Scientist role in Cubist's Data Services group is responsible for building processes, tools, and frameworks to ingest, clean, and deliver datasets, as well as creating in-house derived data products for investment teams. The role involves analyzing data for usability and feature extraction, researching new technologies including AI solutions, and partnering closely with investment teams. Requires a PhD or Masters in a quantitative field, strong Python/SQL skills, and 5+ years of experience as a Data Scientist.

This role involves analyzing complex datasets to derive actionable insights and support strategic business decisions. The analyst will create dashboards, perform statistical analysis, and collaborate with cross-functional teams. Strong analytical skills and proficiency in data visualization tools are required.

This role owns the administration and optimization of the Atlassian ecosystem (Jira, JPD, Confluence) at Similarweb, turning engineering data into actionable insights through dashboards and KPIs. The Program Manager will lead cross-functional projects to improve engineering efficiency, drive operational excellence, and build AI-powered automations to scale operations. Requires 3+ years of experience, a Bachelor's in Industrial Engineering or equivalent, and hands-on Atlassian administration expertise.

This Customer Success Manager for SMB clients serves as the primary point of contact, managing onboarding, training, and engagement to drive adoption and retention. The role involves identifying churn risks, uncovering upsell opportunities, and acting as a trusted advisor using data-driven insights. Requires 2-3 years of experience in customer success, account management, or digital marketing, with strong analytical and presentation skills.

This Data Team Lead manages and mentors a team of data engineers, architecting scalable cloud data pipelines on AWS with Python and Spark, and integrating AI/LLM agentic workflows. The role also involves serving as a technical lead for enterprise clients, leading discovery sessions, scoping custom data solutions, and handling escalations. Requires 5+ years in data engineering with 2+ years in leadership, strong Python and PySpark skills, and experience with customer-facing technical roles.