Staff, Data Scientist (Ads Analytics)

Coupang

As a Staff Systems Engineer in Developer Platform, you will partner with leaders of multiple platform teams. You will work closely with product to define and implement simple solutions to complex orchestration problems, building a highly scalable, reliable, and efficient platform for our customers. You will engineer and develop Kubernetes controllers, operators, and node-level daemons for the application runtime; drive performance tuning and scaling; and design multi-cluster control-plane capabilities that scale to millions of pods across thousands of clusters. What You Will Do * Engineer and develop a unified application platform for hybrid (multi-cluster, multi-region, multi-cloud) application management using Kubernetes controllers and feedback-driven control systems to meet SLOs. * Deliver end-to-end automation for application lifecycle (deployments, rollouts, failovers, policy enforcement) to minimize manual work for users. * Drive fleet-wide optimization for cost, performance, and latency through data-informed controls and capacity management, improving $/RPS and tail latency. * Build resilient, multi-tenant control planes and workflows that safely scale to millions of pods across thousands of clusters. * Ensure reliability, security, and governance with clear guardrails, safe defaults, and automated remediation. * Partner with product and customers to turn complex orchestration problems into simple, reusable platform primitives and great developer experiences. * Champion observability and continuous improvement with measurable, outcome-focused metrics. Basic Qualifications * Bachelor’s degree in Computer Science, Electrical Engineering, Math, or a closely related field (or equivalent experience) * 10+ years in backend software development and operations * Recent experience designing and operating large-scale distributed systems (last 3 years) • Fluency in one or more among Go, C/C++, Python, or Java * Proven track record of delivering mission-critical systems * Experience with cloud computing using AWS or Azure or GCP   Preferred Qualifications * Kubernetes API machinery and semantics: SSA, SMP, server-side dry-run, watches/informers/listers, rate-limited workqueues, finalizers, owner references, leader election, API Priority and Fairness * Controllers/operators and node daemons in Go: client-go/controller-runtime, reconciliation patterns, backoff and retry, idempotency, partitioned/sharded controllers, HA and failover * CRDs and webhooks: versioning, conversion functions/webhooks, validating/mutating admission webhooks, policy frameworks and best practices * Pod/runtime semantics: sidecars, init/ephemeral containers, probes (readiness/liveness/startup), lifecycle hooks, termination behavior, PDBs, QoS classes, ResourceQuota/LimitRange, topology spread, affinity/anti-affinity * Scaling systems: HPA (resource/custom/external metrics), VPA, cluster autoscaler; multi-dimensional scaling, health-aware/autopilot-style policies; external metrics adapters and SLO-driven scaling * Federated and multi-cluster: placement/propagation, failover, drift detection, reconciliation strategies; consistent hashing and partitioning for scale * Distributed systems: CRDTs and eventual consistency paradigms; Raft/memberlist/gossip; deep familiarity with etcd, Kafka, Redis and their operational characteristics (compaction, backpressure, retention, failover) * Observability and data: Prometheus (cardinality control, recording rules), tracing; experience with vector databases for search and diagnostics; strong time-series forecasting (classical + ML) and statistical modeling for proactive optimization * Languages and interfaces: Go (primary), Java/Python as needed; gRPC/protobuf; JSON/YAML/Jsonnet * Leadership: ability to handle multiple competing priorities in a fast-paced environment and lead the delivery of large-scale services for complex business offerings Privacy Notice   * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/

Pinterest

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. We are looking for a Staff Data Scientist for our Ads Delivery. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.   What you’ll do: * Develop a deep, nuanced understanding of the Pinterest ads delivery, quantifying full funnel opportunities and risks. * Lead projects on: * Pinner LTV * Tradeoff between ads and organic engagement * Ads Delivery opportunities across different funnel stages * Design and productionize robust, scalable ML and evaluation frameworks—spanning forecasting, recommendation, and causal inference. * Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact. * Collaborate across disciplines—Product, Engineering, Research, Business, and Design—translating complex data questions into actionable business insights. * Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence.   What we’re looking for: * 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics. * Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience. * Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark. * Strong product intuition—ability to scope, question, and design the right solutions for ill-defined, high-impact business problems. * Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes. * Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences. * Track record mentoring and growing data talent at the staff/senior IC level. * Cross-functional leadership and the ability to align competing interests towards shared goals.   Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.   In-Office Requirement Statement: * We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. * This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-NM4  #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $164,695—$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.   By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Pinterest

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. In this role, you'll be a pivotal individual contributor, shaping how Pinterest's Ads organization leverages data for strategic decision-making and operational excellence. You'll serve as a central expert, empowering our product, engineering, and business teams with accessible, reliable data and actionable insights.   What you'll do: * Drive Ads Product Strategy across Pinterest: Leverage your strong business and product acumen to proactively identify opportunities, generate insights, and drive data-driven decision-making aligned with the organization's strategic objectives. You'll play a crucial role in ensuring data insights inform downstream ML applications and broader product improvements. * Translate Complex Business Needs into Data Solutions: Partner closely with product, engineering, and business stakeholders to deeply understand their challenges. You will expertly translate ambiguous business questions into structured analytical problems, providing the "why" and "how" behind performance and identifying new opportunities. * Ensure Data Trustworthiness and Quality: Establish and uphold high standards for data integrity, consistency, and reliability in all analytical outputs. You will be responsible for ensuring consistently trustworthy and high-quality analyses that directly influence strategic and operational decisions. * Be a Strategic Thought Partner: Bring proactive and influential product leadership into areas where data-driven decisions and insights are essential for success. This involves acting as a key advisor to Product Managers, Engineering leaders, and other cross-functional partners, anticipating future product needs, and identifying the most impactful questions that data can answer. You will be responsible for defining the analytical roadmap, translating high-level business problems into specific, actionable data initiatives, and guiding the team to execute them effectively to drive significant product and business outcomes. * Connect Financial & Product Performance: Serve as a key liaison with BizOps, Finance, and other Strategy teams, expertly connecting revenue performance data with product actions and performance metrics to provide a holistic understanding of our business impact and growth drivers. * Communicate for Impact: Articulate complex data findings, strategic insights, and recommendations clearly and concisely to both technical and non-technical senior stakeholders, influencing business strategy and outcomes. * Elevate Data Science Practices: Act as a subject matter expert for the broader Data Science team, sharing best practices in data analysis, strategic thinking, and effective communication. You will contribute to a culture of continuous learning and data excellence across the organization.   What we're looking for: * Bachelor’s/Master’s degree in a quantitative field such as Data Science, Statistics, Economics, Business Analytics, or equivalent practical experience. * 8+ years of combined post-graduate academic and industry experience applying advanced analytical methods to solve complex, real-world business problems on large-scale data, preferably within a fast-paced tech environment. * Exceptional business acumen and product sense, with a proven ability to translate strategic questions into analytical frameworks and actionable recommendations. * Understanding of the ads ecosystem, monetization mechanics, and/or real-time bidding, with a strong interest in the financial aspects of these domains. * Expertise in data democratization principles, including experience designing and maintaining foundational datasets and building comprehensive business intelligence solutions. * Strong fundamentals in statistics and experimentation, with the ability to interpret and apply insights from various causal inference techniques. * Proven ability to influence cross-functional partners and senior leadership through compelling data narratives and strategic insights. * Proficiency in SQL, Python, and experience with data visualization tools (e.g., Tableau, Looker) is required.   Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.   In-Office Requirement Statement: * We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. * This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices San Francisco, Seattle, or Palo Alto.   #LI-NM4  #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $164,695—$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.   By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.