Data Scientist Jobs in New York, USA

<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p> <p> Data Science is at the heart of Lyft's products and decision-making. As a member of the Science team, you will work in a dynamic environment where we embrace moving quickly to build the world's best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products.</p> <p>As a Staff Data Scientist, Decisions on the Partnership, Loyalty & Pay (PLP) team within Rider, you will leverage data and apply analytical thinking and causal inference to shape our rider and partner product vision, and make business decisions that put our customers first. You will identify improvement opportunities, propose and implement technical solutions, design experiments, and measure the impact of your team's decisions. You will partner closely with product, engineering, design, research, marketing, and business development to deliver programs end-to-end. You will also collaborate and build alignment with adjacent teams across Rider, Marketplace, and Finance to balance driver, rider, and business needs.</p> <h2><strong>Responsibilities:</strong></h2> <ul> <li>Drive the data science roadmap across the Partnership, Loyalty, and Pay teams. Be a primary participant in defining team goals and setting the priorities of projects for the team to address</li> <li>Partner with org leads in product, engineering, UX research, design, marketing, and business development to initiate, design, develop, and scale zero-to-one programs and drive business strategy through data-centric recommendations</li> <li>Define and maintain key objectives and metrics to align with the overarching goals of Rider, Marketplace, and Lyft - including incrementality measurement for partnerships, retention impact of loyalty programs, and health of Pay products</li> <li>Apply modeling, advanced analytics, experimentation, and causal inference techniques (e.g., A/B testing, difference-in-differences, synthetic control, quasi-experimental methods) to drive decision-making at Lyft</li> <li>Drive cross-org impact and alignment, shaping product and business strategy through data-centric presentations to VP and C-level stakeholders</li> <li>Advise teams on best practices. Be a thought leader and go-to expert on measurement, incrementality, and causal inference for PLP stakeholders and dependency teams</li> <li>Provide technical guidance and mentorship to junior and mid-level team members on solution design and implementation; lead code reviews and elevate team-wide technical standards</li> </ul> <h2><strong>Experience:</strong>&

<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p> <p>The Central Market Management & AI (CMM&AI) team, a key part of the broader Rideshare Experience & Marketplace organization, is essential for maintaining a balanced and efficient marketplace. We do so by developing foundational models, business datasets, and decision-making applications that support a wide range of teams across Lyft. These critical platforms and tools power our pricing / pay strategy, operational alignment, and regional strategies, enabling us to compete effectively in the Rideshare landscape.</p> <p>Data Scientists in CMM&AI solve the foundational problems that drive Lyft’s marketplace. From forecasting supply and demand to optimizing investments and measuring the ROI of growth levers, our work shapes both automated processes and high-level strategic decisions. Because our challenges are unique to a real-time marketplace, we avoid off-the-shelf solutions in favor of creativity and first-principles mathematical reasoning. We leverage a deep stack of technologies across forecasting, machine learning, inference, and optimization to deliver measurable impact.</p> <p>As a Senior Data Scientist on the Foundational Models team in CMM&AI, you will operate at the intersection of Machine Learning, Data Science, and Economics to build scalable optimization and modeling systems that directly impact Lyft’s top and bottom lines. You will be hands-on with formulating optimization problems, building ML models, productionizing pipelines, and integrating their outputs within decision-making frameworks. You will collaborate with Product, Engineers, Data Scientists, and Analysts to help define the roadmap and architecture for our next generation of foundational marketplace models that accelerate iterations and drive business efficiency.</p> <h2>Responsibilities:</h2> <ul> <li><strong style="font-size: 14px;">Optimization & Modeling</strong> <ul> <li>Design, formulate, and solve complex mathematical optimization problems that power Lyft’s marketplace decisions across pricing, pay, incentives, and resource allocation.</li> <li>Build, deploy, and maintain production-grade ML and optimization models; collaborate with Software Engineering to integrate algorithms into live systems and establish robust monitoring for model performance and data health.</li> <li>Own the full model lifecycle—from problem framing and prototyping through experimental validation and production deployment—refusing a “build and forget” mentality.</li> <li>Apply first-principles mathematical reasoning to marketplace challenges, choosing the simplest effective solution and building complexity only when incremental value

<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p> <p>The Rider team is the heartbeat of Lyft business. Every feature you build translates to a better experience for millions of riders globally. The Rider New Product team is the engine of innovation for Lyft's business. The Rider New Product science team’s mission is to rigorously quantify the value of innovation by applying advanced causal inference to unlock Lyft’s next generation of growth. You will have the autonomy of a startup lead with the data scale of a global tech giant.</p> <p>This is a high-impact, highly technical role within a core business line. The ideal candidate brings strong applied causal inference intuition, hands-on experience with advanced measurement techniques, and the ability to write clean, efficient production code. You will play a critical role in shaping the future of the Lyft rideshare experience by rigorously measuring the true incremental impact of new product features, shaping critical business decisions, and bridging the gap between cutting-edge applied science research and production-scale product impact.</p> <h2><strong>Responsibilities</strong></h2> <ul> <li>Own complex, open-ended incrementality measurement problems. Translate ambiguous product launches into concrete causal frameworks and experimental designs.</li> <li>Lead high-impact Causal Inference initiatives. Drive innovation by introducing advanced measurement techniques to quantify the incremental impact of new rider features.</li> <li>Partner deeply with Product, Engineering, and Finance. Define the technical vision for how Lyft evaluates innovation, ensuring that we move beyond simple correlations to understand the long-term drivers of rider behavior and value.</li> <li>Design and build production-grade measurement systems. Develop and deploy robust causal models pipelines that balance high scientific rigor with the practical constraints.</li> <li>Establish robust evaluation frameworks. Ensure that the "engine of innovation" is steering the business toward sustainable, incremental growth.</li> <li>Build reusable science infrastructure. Create internal libraries and best practices for causal discovery and automated measurement.</li> <li>Mentor and guide junior/mid-level scientists. Serve as a technical advisor on experimental design, statistical modeling, and fostering a culture of scientific excellence.</li> </ul> <h2><strong>Experience:</strong></h2> <ul> <li>Advanced Quantitative Background: Master’s or PhD in Economics, Statistics, Applied Math, Computer Science or equivalent high-impact industry experience.</li> <li>3+ Years of Applied Experience: Proven tra

<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p> <p>Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features.</p> <p>As a Data Scientist on the Risk Solutions team, you will drive a mission critical to both the safety of our community and the financial resilience of our platform. You’ll partner cross-functionally with Product, Engineering, Actuarial and Claims teams to transform complex data into actionable strategies. You will serve as an analytical lead for claims and road safety initiatives, designing experiments and predictive models aimed at reducing accident frequency and claim severity to optimize long-term risk outcomes. If you are a problem-solver eager to apply high-level data science to real-world safety and financial challenges, this role offers a direct path to high-impact innovation.</p> <h2><strong>Responsibilities:</strong></h2> <ul> <li>Leverage large-scale data and analytic frameworks to identify high-impact opportunities to reduce the total cost of claims. </li> <li>Partner with product managers, engineers, actuaries, claims, and operators to translate data insights into decisions and action</li> <li>Construct and fit statistical, machine learning, or optimization models</li> <li>Design and analyze online experiments; communicate results and act on launch decisions</li> <li>Develop analytical frameworks to monitor business and product performance</li> <li>Establish metrics that measure the health of our products, the business, as well as the driver experience</li> <li>Collaborate with the Claims team to identify high-impact opportunities where data-driven interventions can reduce the total cost of claims.</li> </ul> <h2><strong>Experience:</strong></h2> <ul> <li>Degree in a quantitative field such as statistics, actuarial science, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience</li> <li>5+ years of industry experience in a data science, analytics, or management consulting role.  </li> <li>End-to-end experience with data, including querying, aggregation, analysis, and visualization</li> <li>Ability to manage, influence, negotiate, and inspire others in a fast-moving environment</li> <li>Proficiency in SQL and Python</li> <li>Experience with insurance

<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p> <p> The Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products.</p> <p>As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels.</p> <h2><strong>Responsibilities:</strong></h2> <ul> <li>Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems.</li> <li>Own complex domains and develop long-term roadmaps to maximize business impact.</li> <li>Build statistical pipelines, write production code, and design/analyze experiments.</li> <li>Participate in the science on-call rotation to ensure automated campaigns operate successfully.</li> </ul> <h2><strong>Experience:</strong></h2> <ul> <li>Advanced degree in statistics, economics, mathematics, or equivalent industry experience.</li> <li>4+ years of industry experience in causal inference or data science.</li> <li>Proven ability to apply statistics to unstructured problems and deliver measurable results.</li> <li>Deep technical expertise in causal inference and tackling challenging measurement problems.</li> <li>Expertise in marketing mix modeling is highly preferred.</li> <li>Expertise in SQL and experience with large-scale data platforms.</li> <li>Proficiency in Python and working within production coding environments.</li> </ul> <h2><strong>Benefits:</strong><strong><br></strong></h2> <ul> <li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li> <li>Mental health benefits</li> <li>Family building benefits</li> <li>Child care and pet benefits</li> <li>401(k) plan with company match to help save for your future</li> <li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li> <li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li> <li>Subsidized commuter benefits</li> <li>Monthly Lyft credits and complimentary Lyft Pink membership</li> </ul> <p>Lyft is an equal opportunity employer comm

<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p> <p>Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing.</p> <p>As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Fulfillment team, you will collaborate with cross-functional teammates and stakeholders to enhance algorithms for matching rideshare supply and demand in real time and develop product offerings to improve the experiences of Lyft Riders and Drivers.</p> <h2><strong>Responsibilities:</strong></h2> <ul> <li>Leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team’s systems and products</li> <li>Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.</li> <li>Perform exploratory data analysis to gain a deeper understanding of the problem</li> <li>Construct and fit statistical, machine learning, or optimization models</li> <li>Write production modeling code; collaborate with Software Engineers to implement algorithms in production</li> <li>Design and implement both simulated and live traffic experiments</li> <li>Analyze experimental and observational data; communicate findings; facilitate launch decisions</li> <li>Develop measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes</li> <li>Drive collaboration and coordination with cross-functional teams</li> </ul> <h2><strong>Experience:</strong></h2> <ul> <li>M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields</li> <li>2+ years professional experience in a technology company setting</li> <li>Proven experience with building and evaluating machine learning models</li> <li>Proficiency with Python and working in a production coding environment</li> <li>Passion for solving unstructured and non-standard mathematical problems</li> <li>End-to-end experience with data, including querying, aggregation, analysis, and visualization</li> <li>Strong oral a

Data Scientist / MLE at Airops. Apply via Ashby.

Member of Technical Staff (Data Scientist/Engineer, Online Metrics) at Perplexity. Apply via Ashby.

<p data-start="0" data-end="61">Mid-level Applied AI Data Scientist (Tableau Focus)</p> <p data-start="63" data-end="175">Location: New York, NY (Hybrid – 3 days in-office) | Practice Area: Technology & Engineering | Type: Permanent</p> <p data-start="177" data-end="231"><strong data-start="177" data-end="229">Turn data into insight, and insight into impact.</strong></p> <p data-start="233" data-end="663"><strong data-start="233" data-end="245">The Role</strong><br data-start="245" data-end="248">We are looking for a Data Scientist to join us, working at the intersection of data, machine learning, and business insight. In this role, you will apply statistical and machine learning techniques to real-world problems, helping clients unlock value from complex datasets. You will collaborate with cross-functional teams and contribute to the development of scalable, data-driven solutions.</p> <p data-start="665" data-end="685"><strong data-start="665" data-end="683">What You’ll Do</strong></p> <ul data-start="686" data-end="1254"> <li data-start="686" data-end="799" data-section-id="1s6yce9">Apply statistical analysis, clustering, and probabilistic techniques to generate actionable business insights</li> <li data-start="800" data-end="897" data-section-id="50oypg">Work with structured and semi-structured datasets to identify patterns, trends, and anomalies</li> <li data-start="898" data-end="1019" data-section-id="1nkblv3">Build and support NLP workflows, including named entity recognition (NER), entity resolution, and text classification</li> <li data-start="1020" data-end="1137" data-section-id="h8t3gx">Develop machine learning models with guidance from senior team members, contributing to evaluation and refinement</li> <li data-start="1138" data-end="1254" data-section-id="139azep">Create Tableau dashboards and visualizations to communicate insights to technical and non-technical stakeholders</li> </ul> <p data-start="1256" data-end="1284"><strong data-start="1256" data-end="1282">What We’re Looking For</strong></p> <ul data-start="1285" data-end="1778"> <li data-start="1285" data-end="1368" data-section-id="19qfe5k">3–7 years of experience in data science, analytics, or applied machine learning</li> <li data-start="1369" data-end="1502" data-section-id="1yw7df1">

Applied Data Scientist at Thread ai. Apply via Ashby.

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role   Hinge is seeking a versatile Senior Data Scientist to work on product development initiatives on our Matching team. From assessing opportunities and experiments through analytical techniques to modeling user experience with machine learning, you as data scientists at Hinge will inform and evaluate product feature development and strategy. In turn, your work will deeply influence how millions of Hinge members use the app and connect with each other.  

<div class="content-intro"><p>Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.</p></div><h2><span style="color: rgb(40, 40, 39); font-family: helvetica, arial, sans-serif;">The Team</span></h2> <p>Biohub's data organization is responsible for producing biologically informative, petabyte-scale, AI-ready datasets for frontier models of cell biology. Our work spans genomics, imaging, and proteomics, and we're building the data systems that will enable a new generation of biological AI. The team consists of data engineering, data science, and technical program management. We operate with a flat structure that emphasizes strong IC ownership. We're solving hard problems at the intersection of scientific strategy, large-scale data infrastructure, and foundation model training.</p> <h2><span style="color: rgb(40, 40, 39); font-family: helvetica, arial, sans-serif;">The Opportunity</span></h2> <p>In April 2026, Biohub launched the Virtual Biology Initiative—a $500 million, five-year commitment to galvanize a global effort to build predictive models of the human cell. This initiative will bring together leading institutions to generate the multi-modal biological data, at unprecedented scale, that will power the next generation of AI models for biology while producing datasets of unprecedented size.</p> <p>Our data science team defines the algorithms and processing approaches that turn raw biological measurements into rich representations models can actually learn from. That includes designing data formats and representations optimized for AI use cases, building cost-aware processing pipelines that balance expressiveness with efficiency, developing scalable QC and validation frameworks across modalities, creating agent-augmented curation tools for metadata extraction and ontology mapping, and building the cross-modal entity resolution and semantic infrastructure that ties it all together. </p> <p>Both the scale and domain are active research areas. How do you tokenize a cell image? How do you represent a perturbation experiment? How do you combine transcriptomics with imaging in a way that preserves biological meaning? These questions don't have established answers. We need scientific leaders who can work at this frontier: people who understand biological measurement deeply, think creatively about data representations, sampling, and tokenization strategies, and can transl

<div class="content-intro"><h3> </h3> <h3><strong>Why Charlie Health?</strong></h3> <p>Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they’re met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported.</p> <p>Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we’re expanding access to meaningful care and driving better outcomes from the comfort of home.</p> <p>As a rapidly growing organization, we're reaching more communities every day and building a team that’s redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we’d love to meet you.</p></div><p><strong>About the Role</strong></p> <p>As a Staff Data Scientist, you’ll be seen as a tech lead thought leader across company leaders and across Product, Engineering, Design, Operations, and Clinical teams. You will help the company be rigorous and thoughtful on how to best use data and apply statistical methods. You will bring an experienced perspective among the team to help them polish their thinking and ultimately inform their roadmaps, shape their thinking, and drive outcomes. You will be a highly engaged cross-functional partner that is sought out to solve challenges and will be able to bridge the gap between technical and non-technical stakeholders, upleveling those around you.</p> <p>We’re a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you’re inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today.</p> <p><strong>Responsibilities</strong></p> <ul> <li>Partner with Product, Engineering, Design, Clinical, Operations, and Machine Learning teams to turn ambiguous questions into clear analytical recommendations that influence strategy and decision-making.</li> <li>Build and establish models and analyses using appropriate statistical methods that identify key roadmap items to prioritize across the respective teams.</li> <li>Regularly influence leaders to accept recommendations and define the metrics that matter which will generate concrete and notable impact to the compan

<div class="content-intro"><h3> </h3> <h3><strong>Why Charlie Health?</strong></h3> <p>Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they’re met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported.</p> <p>Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we’re expanding access to meaningful care and driving better outcomes from the comfort of home.</p> <p>As a rapidly growing organization, we're reaching more communities every day and building a team that’s redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we’d love to meet you.</p></div><h3><strong>About the Role</strong></h3> <p>As a Staff Data Scientist - Growth and Marketing, you’ll be seen as a thought leader among Growth, Marketing, and Revenue partners to help them be rigorous and thoughtful on how to best use data. You will bring an experienced perspective among the team to inform their roadmaps, shape their thinking, and drive outcomes. You will contribute directly to the growth of the company, via streamlining marketing measurement and approaches, leveraging statistical rigor via modelling & causal inference to teams, and via identifying new opportunities for continued and sustained impact across the org.</p> <p>We’re a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you’re inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today.</p> <h3><strong>Responsibilities</strong></h3> <ul> <li>Partner with Growth, Marketing, Revenue, and Operations to turn ambiguous business questions into clear analytical recommendations that influence strategy and decision-making</li> <li>Build and iterate on lead, account, and ICP scoring models that help reps prioritize efforts and partner with Ops on data-driven territory design</li> <li>Develop models to analyze successful high-performer rep patterns to optimize onboarding and productivity</li> <li>Architect and maintain a trusted marketing measurement framework (e.g. MMM, incrementality testing [geo te

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.   At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.   Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role Crossix Analytics is a business within Veeva dedicated to advancing healthcare marketing with analytics, innovative planning, targeting, measurement, and optimization solutions. Positioned at the center of big data, innovative technology, and multichannel media, Veeva Crossix provides life sciences companies with insights to help make strategic business decisions and drive improved patient outcomes.  We are looking for a high performing methodologist to join our team in New York. The right candidate enjoys deconstructing complex problems and building analytics products, prioritizing simplicity and efficacy over complexity. You will serve as a key driver in our business’ commercial success, owning methodological and data science research end-to-end. The position is offered at multiple levels of seniority.

At PortPro, we are revolutionizing the drayage industry with our premier web-based operating system. As a fast-growing company, we are building out the most comprehensive technology platform to optimize supply chains and make them more efficient. By joining our team at the ground level, you will have the opportunity to be a part of our company's growth and expansion as a global organization, while also making a significant impact on the world. Supply chains are a crucial part of the global economy, and by working to improve them, we are not only solving problems for our own benefit, but for the benefit of society as a whole. PortPro is seeking an experienced Data Scientist to join our team. The ideal candidate will have a robust analytical skill set, experience with machine learning algorithms, and the ability to derive insights from complex data sets. Additionally, you should be comfortable writing code, preferably with Node.js, and have familiarity with the Amazon AWS technology stack. This role involves working closely with our product teams, as well as offshore teams, to provide data-driven insights that will influence the direction of our SaaS products. Excellent collaboration and communication skills are required, as well as the ability to operate effectively within various time zones.

Company at a Glance OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens. At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising.