Role Description We are looking for an experienced Senior Data Scientist to join a high-impact Ads Data Science team focused on scaling and optimizing a rapidly growing advertising marketplace. Advertising is a core revenue driver, and this role sits at the heart of building a high-performance, data-driven marketplace ecosystem — where advertisers, users, and platform dynamics interact in real time. You will work on problems such as auction dynamics, pricing, targeting, relevance, and marketplace efficiency, leveraging large-scale data and advanced modeling techniques to drive measurable business impact. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor or FTE Duration of contract: long-term, but with 3-month increments based on performance Responsibilities - Design and apply data science and machine learning solutions to improve ads marketplace performance - Analyze large-scale datasets to uncover patterns in marketplace behavior (bidding, pricing, engagement, conversion) - Develop models for prediction, anomaly detection, and optimization - Define and track core marketplace metrics (supply/demand balance, auction efficiency, advertiser value) - Build data assets (tables, dashboards, self-serve tools) to empower product and engineering teams - Partner with Product and Engineering to translate marketplace challenges into DS solutions - Design and analyze A/B experiments and causal inference frameworks to validate impact - Communicate insights and recommendations to cross-functional stakeholders Qualifications - 5+ years of experience in Data Science, Machine Learning, or Applied Statistics - Strong experience working on marketplace platforms (e.g., ads platforms, ride-sharing, e-commerce, or similar two-sided ecosystems) - Deep understanding of marketplace dynamics (auction systems, pricing, supply/demand, ranking, or allocation problems) - Strong foundation in statistical modeling, machine learning, and experimental design - Experience with large-scale data processing (e.g., Spark, Hadoop, Hive, or BigQuery) - Advanced proficiency in SQL and working with large relational datasets - Strong programming skills in Python (preferred) or R - Experience building and interpreting A/B tests and causal inference models - Ability to work with cross-functional teams and influence product decisions through data Nice to Have - Experience in online advertising / ad tech ecosystems - Experience with auction optimization, bidding strategies, or ranking systems - Familiarity with real-time systems or large-scale recommendation systems - Experience building self-serve analytics tools or data platforms

• Design and apply **data science and machine learning solutions** to improve ads marketplace performance • Analyze large-scale datasets to uncover **patterns in marketplace behavior** (bidding, pricing, engagement, conversion) • Develop models for **prediction, anomaly detection, and optimization** • Define and track **core marketplace metrics** (supply/demand balance, auction efficiency, advertiser value) • Build **data assets** (tables, dashboards, self-serve tools) to empower product and engineering teams • Partner with Product and Engineering to **translate marketplace challenges into DS solutions** • Design and analyze **A/B experiments and causal inference frameworks** to validate impact • Communicate insights and recommendations to **cross-functional stakeholders**

Role Description We are seeking a highly skilled Staff Scientist to lead the design, development, and validation of innovative clinical workflows that can directly impact the diagnosis and treatment of heart disease. In this senior-level role, you are responsible for architecting a cutting-edge product that integrates our existing technologies while pushing the boundary of innovation in cardiac vascular imaging. You will also represent the company in strategic research collaborations with leading academic and clinical institutions, driving innovation at the intersection of AI and cardiovascular health. Key Responsibilities - Research and develop state-of-the-art AI and non-AI algorithms for coronary CT/fluoroscopy imaging applications. - Implement efficient and robust image processing pipelines to solve challenging problems in low latency environments. - Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams. - Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo, PCCP), including generating evidence and documentation. - Collaborate with engineering teams to deploy AI and non-AI based solutions in clinical practice. - Communicate findings and strategy to internal stakeholders and leadership through clear technical documentation, presentations, and demos. - Contribute to intellectual property development through patents and scientific publications. - Mentor junior scientists and foster a culture of technical excellence and scientific rigor. Qualifications - PHD in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 5+ years combined postdoc and/or industry experience; OR an M.S. with 8+ years of relevant experience. - Applied AI/DL research for medical imaging diagnostics and analysis, classical image processing algorithms, optical flow analysis, 2D&3D rigid/deformable image registration. - Proven track record of successful product delivery in the medical imaging domain. - Strong experience in C++ and Python. - Experience developing and applying graph processing or GNN (graph neural network). - Prior experience with ITK, OpenCV, VTK, CMake, Slicer is a plus. - Prior experience with cardiac motion modeling or tracking is a plus. - Excellent interpersonal, cross-functional, and cross-cultural collaboration skills. Preferred Qualifications - 5+ years of industry experience in AI-based medical device development or clinical deployment. - Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways. - Deep domain knowledge in cardiovascular imaging and CT interpretation workflows. Benefits - Base Salary: $234,000 - $271,000 - Total Target Compensation (TTC): $268,000 - $311,000 - Eligible for a 15% target annual bonus. - Stock options, paid benefits, and employee perks are part of your total rewards. Company Description We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. Founded in 2017 by one of the world’s leading cardiologists, we are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022, enabling rapid growth and continued support of our mission. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives.

• Lead and build a new analytics team that drives product growth through data-driven insights and AI-powered analysis. • Define and execute the analytics roadmap, guiding proactive analyses to uncover growth opportunities. • Build and mentor a high-performing team of analysts, establishing excellence in SQL, visualization, and statistical methods. • Champion AI integration to optimize analytical workflows and unlock deeper product insights. • Partner closely with Product Managers as their primary data ally, translating complex findings into clear, actionable recommendations. • Collaborate with data engineers and implementation specialists to prioritize tracking, define schemas, and guide data modeling. • Enable broader analytics teams through training on behavioral data usage, querying best practices, and dataset documentation.