Senior Data Scientist, Kargo

• Advanced degree in Computer Science, Statistics, Mathematics, or a related field
• Significant experience working with scalable modeling frameworks
• Hands on SQL and Python experience in their past several years
• Extensive experience in data science, machine learning, and adtech
• Strong technical expertise in real-time bidding, OpenRTB, and related technologies
• Excellent communication and interpersonal skills, with the ability to convey complex concepts to non-technical stakeholders

• As the Sr. Data Scientist at Kargo, you will play a pivotal role in driving the strategic direction of our adtech company's mission-critical auction based models
• You will be a part of a cutting edge adtech auction optimization team to support our integrations with DSP and internal auction mechanisms to deliver the highest outcomes possible for our clients across industry verticals
• You’ll drive alongside other data scientists and machine learning experts to deploy, test, and experiment with models
• This position requires a blend of technical expertise, industry knowledge, and strategic thinking to enhance our modeling infrastructure and address the unique challenges of Kargo's clients
• Spend your days working on increasing Kargo’s margins and auction in the real-time auction. You’ll dream about client ROI, win-rates, auction dynamics, and efficiency gains for the company
• You’ll be working with our data across the oRTB spec for all media channels as well as our advanced user and targeting data
• Work within a team of data scientists and machine learning experts, fostering a culture of innovation and excellence
• Collaborate closely with the application engineering leads, data engineering, analytics and audience teams to develop and refine data-driven strategies
• Work in consultation with product management and business stakeholders to understand client needs and translate them into actionable data science projects
• Ensure the reliability, scalability, and performance of our real-time bidding systems
• Stay abreast of emerging trends and technologies in adtech, particularly in areas related to machine learning and real-time data processing
• Drive the continuous improvement of our modeling infrastructure to enhance efficiency and effectiveness
• Facilitate cross-functional collaboration to ensure alignment of data science initiatives with overall business objectives
• Present insights and strategic recommendations to senior leadership and stakeholders

The way in which advertisers reach out to their audiences has changed dramatically over the last decade, primarily due to the invention of the smartphone. Whilst mobile ads have existed since the beginning of smartphones, most rely on technology that was built for desktops, resulting in bad advertising and missed opportunities.