You will architect and build scalable services for transaction matching and offer ingestion while owning features end-to-end through the Shape Up cycle. Additionally, you will participate in on-call rotations, mentor engineers, and strengthen issuer-facing APIs to improve system reliability.
Lead and develop a multidisciplinary data team while setting the technical direction for Kard's data platform. Partner with product and engineering teams to integrate data and machine learning capabilities into production systems.
Design, build, and operate end-to-end machine learning systems including feature generation, training, and real-time inference. Provide technical leadership for ML architecture while partnering with cross-functional teams to integrate models into production products.
You will build and deploy machine learning models for offer personalization, ranking, and targeting using large-scale transaction and behavioral data. Additionally, you will design experiments and apply causal inference methods to measure campaign impact and partner ROI.
You will lead the data and engineering enablement teams to define strategy and turn foundational technology into commercial value. This involves shaping product bets, managing platform capabilities, and collaborating with business partners to drive customer engagement.
The Data Support Analyst will serve as the primary point of contact for ad-hoc data requests from internal teams, including Sales. They are responsible for investigating data discrepancies, resolving basic data issues, and maintaining routine data operations.
The role focuses on expanding the network of media and brand advertisers by identifying, prospecting, and closing new business opportunities. Success is measured by the number of deals closed and total revenue generated within assigned territories.
Own high-stakes measurement conversations with partners and translate complex data results into clear external narratives. Use SQL and BI tools to investigate performance, validate hypotheses, and collaborate with Data Science to refine measurement frameworks.
