Data Science Manager - Machine Learning at Lyft Ads

About the Role Lyft Ads is looking for a Data Science Manager with a focus on machine learning. This manager will guide a team of data scientists and work closely with others to develop advertising solutions that improve the platform’s performance. The role centers on applying machine learning expertise to shape insights and strategies for Lyft Ads.

At Lyft, we are driven by our mission to connect and serve our community. We foster an inclusive workplace where every team member can thrive and contribute their best.Lyft Ads is an innovative division of Lyft, rapidly expanding to create the most extensive transportation media network in the world. Our goal is to empower brands to engage with riders at critical moments—before, during, and after their rides—by providing impactful, contextually relevant advertising experiences. We leverage mobility data, real-time decision-making systems, and AI-driven personalization to enable advertisers to execute high-impact campaigns that yield measurable results.We are looking for an Algorithms Scientist to spearhead the development of advanced algorithms for ad relevance, targeting, optimization, and measurement that underpin the Lyft Ads platform. In this pivotal role, you will engage with extensive datasets and intricate real-time systems to design, prototype, and implement production-ready machine learning models. Your collaboration with Engineering, Product, Data Science, and Sales teams will be essential to convert complex business and advertising requirements into precise algorithmic solutions that enhance ad performance, improve marketplace efficiency, and drive significant revenue growth.This is a high-stakes, technical position within a rapidly scaling business segment. The ideal candidate will possess strong applied machine learning expertise, hands-on modeling capabilities, and proficiency in writing clean, efficient production code. You will play a vital role in redefining how advertisers connect with Lyft riders, pushing the frontiers of personalization, measurement, and real-time optimization in a dynamic marketplace.

impact.com builds a platform for brands to manage and grow partnerships across the entire customer journey. Over 5,000 companies, including major names like Walmart, Uber, and Shopify, use impact.com to oversee a network of more than 350,000 partnerships. Role overview The Senior Data Scientist, Programmatic Algorithms, joins the Programmatic Experience Group as an individual contributor. This role centers on designing and deploying machine learning models to optimize yield, pricing, and inventory allocation at scale. The work blends data science, platform engineering, and marketplace economics, directly influencing impact.com’s programmatic marketplace by balancing advertiser results with publisher monetization. This position offers significant autonomy and responsibility across the full machine learning lifecycle. Projects range from building data pipelines and engineering features to deploying real-time inference systems that support rapid decision-making. Regular collaboration with Product, Data Science, and Programmatic Delivery Engine Engineering teams is expected. What you will do Yield optimization and pricing models: Design and implement machine learning models for auction pricing, bid shading, floor price setting, and yield management across programmatic inventory. Who succeeds in this role Success in this position requires strong analytical rigor, practical machine learning engineering skills, and a genuine interest in both data science and engineering challenges. The role is based in New York, Seattle, or Vancouver, BC.

Join Lyft as a Senior Data Scientist in our Decisions team, focusing on Risk analytics. In this pivotal role, you will leverage data-driven insights to enhance decision-making processes and mitigate risks. You will collaborate with cross-functional teams to develop innovative solutions that drive business objectives.

Join Lyft as a Senior Data Scientist specializing in Optimization, Central Market Management, and AI. In this pivotal role, you will leverage advanced analytics and machine learning techniques to drive data-driven decisions and enhance operational efficiency across our services. Collaborate with cross-functional teams to identify opportunities for optimization and develop innovative solutions that shape the future of transportation.

At Lyft, we are driven by a mission to connect people and enhance transportation accessibility. We strive to create a workplace where every team member feels valued and empowered to excel. The Pricing team plays a pivotal role in Lyft’s ecosystem, setting the prices for our rideshare offerings while supporting innovative initiatives. Our Dynamic Pricing & Offer Selection team is at the forefront of this effort, dedicated to optimizing pricing and estimated times of arrival (ETAs) in real-time to effectively manage supply and demand within our two-sided marketplace, ultimately boosting both immediate and long-term customer retention. As an Applied Scientist focused on Machine Learning and Operations Research, you will engineer mathematical models and deploy algorithms that guide critical pricing and ETA decisions. Your expertise will be instrumental in developing machine learning and optimization models and in building production pipelines capable of handling millions of requests daily, addressing significant business challenges that greatly influence our marketplace dynamics and rider satisfaction. You will engage with a variety of real-world problems across optimization, prediction, machine learning, and inference, collaborating with a diverse team of professionals including Product Managers, Engineers, and Analysts within the Pricing domain. We are seeking individuals who thrive in a fast-paced, innovative, and impactful environment and who can adeptly navigate complexity and efficiency to transform tangible business challenges into dependable solutions and decision-making frameworks.

At Lyft, we are dedicated to connecting people and enhancing their experiences. Our commitment lies in fostering an inclusive working environment where every team member can thrive.The Rider team serves as the vital core of Lyft's operations. Every feature developed enhances the experience for millions of riders worldwide. As part of the Rider New Products team, you will be at the forefront of innovation, leveraging advanced causal inference methodologies to quantitatively assess the value of new initiatives and drive Lyft’s growth trajectory. In this role, you will enjoy the autonomy of a startup while benefiting from the data scale of a leading global technology firm.This position is critical and highly technical, aimed at influencing a key business area. The ideal candidate will possess a strong intuition for applied causal inference, extensive experience with sophisticated measurement techniques, and proficiency in writing clean, efficient production code. You will significantly influence the future of the Lyft rideshare experience by accurately measuring the incremental impacts of new product features, guiding essential business strategies, and bridging scientific research with practical product applications.

Lyft’s Business team is hiring a Machine Learning Engineer to develop algorithms and models that improve operations and customer experience. This position plays a key part in shaping how Lyft’s services perform by turning data into actionable insights. What you will do Design and build machine learning models to support Lyft Business operations Develop algorithms that enhance service quality and efficiency Work with data to uncover insights that inform business decisions Location This role is based in New York, NY or San Francisco, CA.

At Lyft, we are dedicated to connecting people and communities. We foster a work environment where every team member feels valued and has the opportunity to excel.Data Science plays a pivotal role in shaping Lyft's innovative products and guiding our strategic decisions. As a Data Scientist specializing in Algorithms, you will immerse yourself in a fast-paced, collaborative environment, addressing critical challenges from influencing key business strategies to developing sophisticated algorithms that enhance our services. We are on the lookout for passionate and driven individuals to tackle some of the most intriguing and impactful challenges in the ridesharing industry.In this role, you will create mathematical models that enhance the core functionalities of our platform, focusing on optimization, prediction, machine learning, and inference. As part of the Fulfillment team, you will work alongside cross-functional colleagues and stakeholders to refine algorithms that match rideshare supply with demand in real-time, ultimately improving the experiences of both Lyft Riders and Drivers.

Join Lyft as a Data Scientist in Urban Mobility SolutionsAt Lyft, we are driven by our mission to connect people and communities. We strive to foster a diverse and inclusive environment where every team member can thrive and make an impact.The Lyft Urban Solutions team is at the forefront of micromobility innovation. We are seeking a passionate Data Scientist who will leverage data to inform strategic decision-making. From New York's Citi Bike to San Francisco's Bay Wheels, our micromobility systems rely on intelligent, data-driven decisions to optimize operations at scale. Your insights, analyses, and algorithms will play a crucial role in enhancing our planning and operational efficiency.You will engage with a variety of complex challenges across optimization, predictions, simulations, analytics, and transportation mapping. Collaborating closely with stakeholders ranging from executives to local operations teams, you will be integral in solving mathematical problems with data, all within a fast-paced, innovative, and collaborative setting.

Lyft seeks a Senior Software Engineer to improve the rider experience on its platform. This position focuses on developing and enhancing scalable features that help create a smoother, more enjoyable journey for every user. Role overview As part of the team, you will work on projects that directly impact how riders interact with Lyft. The work involves shaping and refining the platform to support reliable, user-friendly rides. Location This role is based in New York, NY.

As a Senior Data Scientist at VideoAmp, you will play a pivotal role in driving data-driven decisions and strategies that impact our business outcomes. You will leverage your expertise in statistical analysis, machine learning, and data visualization to develop innovative solutions that optimize our products and services. Collaborate closely with cross-functional teams to understand business needs and translate them into analytical frameworks, ensuring the highest quality of data insights.

Role Overview Analytic Partners is hiring a Senior Data Scientist in New York, NY. This position focuses on applying advanced analytical methods to support data-driven decisions across the organization. The Senior Data Scientist works closely with colleagues from various teams to create solutions that strengthen our analytics and contribute to meaningful business outcomes.

Join Mattel, Inc. as a Lead Data Scientist where you will play a pivotal role in shaping data-driven strategies that enhance our product offerings and drive business growth. You will collaborate with cross-functional teams to leverage data analytics, machine learning, and statistical modeling to derive insights and inform decision-making processes.

Data ScientistLocation: New YorkOn-site | Full-timeCompensation: CompetitiveJoin a leading technology development firm driving innovation at the forefront of digital asset launchpads. Our client operates with cutting-edge technologies, ensuring ultra-low latency and high throughput in the ever-evolving crypto landscape. This role is pivotal, as every technical deployment directly impacts a vast global audience.We are on the lookout for a skilled and adaptable Data Scientist who thrives in a dynamic and demanding environment. This position offers the freedom to unearth impactful opportunities, create advanced analytical solutions, and quantify their effects on products enjoyed by millions worldwide. Be part of a high-caliber team that champions first-principles thinking, ownership, and independence in a challenging ecosystem.Key ResponsibilitiesExperimentation & Optimization: Create, execute, and assess rigorous A/B tests to enhance user experience and engagement.Proactive Analysis: Uncover hidden issues and growth prospects through thorough data exploration.Insight Visualization: Develop and sustain comprehensive dashboards to monitor essential KPIs and illustrate complex user behaviors.Predictive Modeling: Craft advanced models to analyze user behavior and forecast outcomes in a fast-paced environment.Cross-Functional Collaboration: Collaborate with product and engineering teams to implement data-centric solutions ensuring technical feasibility.Project Ownership: Lead data initiatives from problem identification to solution execution and post-deployment assessment.Technical Communication: Simplify complex statistical insights into clear, actionable narratives for diverse stakeholders.Methodological Standards: Contribute to refining the organization’s data best practices and analytical methodologies.Work Style & EnvironmentIn-Person Collaboration: This role requires presence at our client's office.Intensity: Candidates should be prepared for unconventional hours and a fast-paced atmosphere where expectations are high and outcomes are immediate.

Join our dynamic team at Northstar Staffing Solutions as a Data Scientist! In this role, you will leverage your analytical skills to interpret complex data sets and transform them into actionable insights. You will collaborate with cross-functional teams to drive data-driven decision-making and enhance business strategies.

Join Flex as a Senior Staff Data Scientist where your expertise in data analysis and machine learning will drive innovative solutions and enhance our data-driven decision-making processes. You will collaborate with cross-functional teams to extract valuable insights from complex datasets, enabling us to improve our products and services.

Role Overview Spotify is looking for a Data Scientist focused on Subscriptions to help improve user experiences and make subscription services more effective. This role involves analyzing data and working closely with teams from different parts of the company. What You Will Do Analyze user and subscription data to find trends and opportunities for improvement Collaborate with product, engineering, and other teams to turn insights into action Support decisions that shape the future of Spotify’s subscription offerings Location This position is based in New York, NY.

At Genius Sports, we are at the forefront of a revolution in sports engagement, harnessing cutting-edge technology and the most accurate live data available. Our mission is to create an unparalleled experience for fans globally, ensuring every interaction is more immersive, interactive, and tailored than ever before. Discover more about us at geniussports.com.About the Role We are in search of a passionate Senior Data Engineer who thrives on continuous learning and is eager to take ownership of their tools and products, adhering to Agile Software Development best practices. We believe that skilled engineers can seamlessly transition between projects and acquire new competencies driven by their passion for what they do. Don’t let your current programming language or framework be a barrier to applying!Your technical acumen and pragmatic problem-solving skills will be essential as you collaborate within a team focused on Agile delivery and ongoing improvement. You should possess a data-driven mindset, comfortable with continuous experimentation and validation.Key Responsibilities Design, develop, and maintain scalable data pipelines for extraction, transformation, and loading (ETL) of large datasets.Optimize data processing jobs and database queries for peak performance and efficiency.Implement and manage data storage solutions, including data warehouses, data lakes, and distributed systems.Write clean, maintainable, and efficient code for data ingestion, processing, and analysis.Troubleshoot and resolve data pipeline issues, ensuring data quality and integrity.Stay updated with the latest data engineering technologies, tools, and best practices.Mentor and guide team members in data engineering principles and methodologies.

Role Overview DoubleVerify is hiring a Senior Data Scientist I for its Rockerbox team at the NYC Global HQ. This role focuses on building models and algorithms to strengthen our products and help clients achieve better results. Work with large datasets and apply statistical methods to uncover insights that shape our data strategy. What You Will Do Analyze and interpret large, complex datasets to inform product development and client solutions. Develop predictive models and algorithms that support digital advertising quality and effectiveness. Collaborate with teams across the company to solve challenging problems and deliver actionable insights. About DoubleVerify DoubleVerify works to ensure digital advertising delivers real value through data integrity and measurement. The Rockerbox team plays a key role in advancing these goals.