Data Science Manager, Mapping

At Lyft, we are driven by our mission to connect people and foster community. We strive to create an inclusive work environment where every team member feels valued and has the opportunity to excel.Lyft Ads, one of our most dynamic and rapidly expanding divisions, is dedicated to developing the world’s premier transportation media network. Our goal is to enable brands to engage with riders at pivotal moments throughout their journey—before, during, and after their rides—by delivering impactful, contextually relevant advertising experiences. We operate at the forefront of mobility data, real-time decision-making systems, and AI-driven personalization, empowering advertisers to execute high-impact campaigns with measurable success.We are currently in search of an Algorithms Scientist to spearhead the development of next-generation algorithms focused on ad relevance, targeting, optimization, and measurement that underpin the Lyft Ads platform. In this pivotal role, you will navigate large-scale datasets and intricate real-time systems to design, prototype, and deploy robust machine learning models. Your collaboration with cross-functional teams, including Engineering, Product, Data Science, and Sales, will be instrumental in translating complex business and advertiser needs into effective algorithmic solutions that enhance ad performance, optimize marketplace efficiency, and drive significant revenue growth.This is a high-impact, technically demanding position within a rapidly scaling business unit. The ideal candidate will possess a strong intuition for applied machine learning, extensive hands-on modeling experience, and the capability to write clean, efficient production code. You will play a crucial role in transforming how advertisers connect with Lyft riders, pushing the envelope on personalization, measurement, and real-time optimization in a fast-paced marketplace.

About the Role Lyft Ads is looking for a Data Science Manager with a focus on Machine Learning. This position is based in San Francisco, CA. What You Will Do Lead a team of data scientists working on advertising solutions Guide the development and optimization of machine learning algorithms Improve user targeting methods to increase advertising effectiveness Analyze large datasets to support strategic decisions across Lyft Ads Shape advertising performance and influence user engagement through data-driven insights What We’re Looking For Experience managing data science teams Strong background in machine learning and algorithm development Ability to work with large-scale datasets Skilled at translating analysis into actionable business strategies

Join Lyft as a Senior Data Scientist specializing in Risk Analysis, where you will leverage advanced analytics and machine learning to drive decision-making processes. Collaborate with cross-functional teams to develop innovative risk assessment models that enhance our service offerings and ensure safety for our users. Your expertise will play a crucial role in shaping our data-driven strategies.

Join Airwallex as a Staff Data ScientistAt Airwallex, we are revolutionizing the way global businesses manage their payments and finances. Our innovative platform empowers over 200,000 businesses worldwide, including esteemed names like Brex, Rippling, Navan, Qantas, and SHEIN, offering fully integrated solutions for business accounts, payments, spend management, treasury, and embedded finance.Founded in Melbourne, our talented team of over 2,000 professionals operates across 26 offices globally. With a valuation of US$8 billion and backing from top-tier investors like T. Rowe Price, Visa, and Mastercard, we are at the forefront of creating the financial platform of the future. If you're ready to embark on an extraordinary journey in your career, we invite you to join us.

About AirwallexAirwallex stands as the premier unified payments and financial platform for global enterprises. With our cutting-edge combination of proprietary infrastructure and innovative software, we empower over 200,000 businesses worldwide—including industry leaders like Brex, Rippling, Navan, Qantas, SHEIN, and many others—to manage everything from business accounts and payments to spend management and treasury solutions, all while facilitating embedded finance on a global scale.Founded in Melbourne, we are proud to have a dynamic team of over 2,000 talented and innovative professionals in technology, spread across 26 offices globally. With a valuation of $8 billion and support from top-tier investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of constructing the future of global payments and financial services. If you are prepared to embark on the most ambitious journey of your career, we invite you to join us.

Join Lyft as a Senior Data Scientist specializing in Optimization, Central Market Management, and Artificial Intelligence. In this pivotal role, you will harness your analytical skills to drive product innovations and enhance operational efficiency. By applying cutting-edge data science methodologies, you will collaborate with cross-functional teams to leverage data insights for strategic decision-making and product enhancements.

Join Lyft as a Data Scientist specializing in Machine Learning, Pricing, and Rider Engagement. In this role, you will leverage your expertise in data analysis to improve pricing strategies and enhance rider experiences. Collaborate with cross-functional teams to design, implement, and optimize machine learning models that drive decision-making and business growth.

Join the innovative team at Pinterest as a Staff Data Scientist specializing in Ad Measurement Products. In this role, you will leverage your expertise to enhance our advertising solutions by analyzing data to drive strategic decision-making. You will collaborate with cross-functional teams to develop and implement data-driven strategies that optimize ad performance and measurement accuracy.

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.

Lyft seeks a Senior Accountant based in San Francisco, CA. This position manages the company’s financial records and prepares detailed reports to support decision-making. Role overview The Senior Accountant ensures compliance with accounting standards and works closely with teams throughout Lyft. This collaboration helps maintain accurate financial data and supports the company’s ongoing growth plans. Key responsibilities Maintain and manage financial records Prepare detailed financial reports Ensure compliance with accounting standards Work with cross-functional teams to support Lyft’s financial performance

As the Director of Tax at Lyft, you will play a pivotal role in overseeing all aspects of tax planning and compliance. You will lead a dynamic team, ensuring that Lyft’s tax strategy aligns with our corporate goals and complies with all regulations. Your expertise will guide critical decisions impacting our financial health and reputation in a fast-paced, innovative environment.

Join Lyft Business as a Senior Product Manager, where you'll play a pivotal role in shaping our product strategy and enhancing the user experience for businesses using our platform. You will collaborate with cross-functional teams, engage with stakeholders, and drive product innovation to meet the evolving needs of our corporate clients.

Join Lyft Business as a Senior Software Engineer and play a pivotal role in shaping the future of transportation. You will be responsible for designing and implementing innovative software solutions that enhance our platform's efficiency and effectiveness. Collaborate with cross-functional teams to deliver high-quality products that meet the needs of our users and businesses.

At Lyft, we are dedicated to creating connections and serving our community. We strive to foster a workplace culture where every team member feels a sense of belonging and can flourish. The Pricing team is pivotal to Lyft’s marketplace, responsible for setting prices for all rideshare services and spearheading new initiatives. The Dynamic Pricing & Offer Selection team focuses on determining optimal prices and ETAs in real-time, balancing supply and demand within our dual-sided marketplace to enhance both immediate and long-term customer conversion and retention. As an Applied Scientist with expertise in Machine Learning and Operations Research, you will create mathematical models and deploy algorithms that inform crucial pricing and ETA decisions. Your role will involve developing ML and optimization models and implementing scalable pipelines capable of handling millions of requests daily while addressing significant business challenges impacting marketplace dynamics and rider satisfaction. You will engage with a diverse range of real-world issues across optimization, prediction, machine learning, and inference, collaborating closely with colleagues and stakeholders across Pricing, including Product Managers, Engineers, and Analysts. We seek a candidate who thrives in a fast-paced, innovative environment and excels at balancing complexity with efficiency to transform real-world business challenges into dependable solutions, systems, and decision-making frameworks.

About Matter IntelligenceMatter Intelligence is at the forefront of Vision AI innovation, developing a groundbreaking sensor capable of interpreting molecular chemistry, temperature, and 3D shapes, all powered by an advanced Large World Model. This revolutionary system not only captures visual data but comprehensively understands the nuances behind each pixel. We call it Superintelligent Vision.Join a remarkable team with a proven track record, having delivered technologies to NASA/JPL for Mars missions, co-founding and building infrastructure for OpenAI, crafting state-of-the-art sensors for U.S. Defense, and developing pivotal algorithms for spectral and 3D imaging. Together, we are laying the groundwork for the next generation of vision and intelligence in our physical world.About the RoleWe are seeking a passionate Junior Geospatial Data Scientist to design and sustain processing pipelines and algorithms that convert our satellite's raw hyperspectral imagery into high-quality scientific data products. This role is not solely research-oriented; you will be responsible for writing production-level code that operates at scale, and a solid understanding of the mathematics and physics behind each pipeline component is essential.In collaboration with experienced remote sensing scientists and software engineers, you will execute radiometric corrections, atmospheric compensation, spectral analysis algorithms, and geospatial data transformations. If you have the ability to derive a reflectance equation on a whiteboard and seamlessly translate it into a clean, tested Python module, this opportunity is perfect for you.

Join Airwallex as a Senior Data Scientist in Algorithms for Financial MarketsAt Airwallex, we are revolutionizing the financial landscape, providing a comprehensive payments and financial platform tailored for global businesses. Our innovative infrastructure and proprietary software empower over 200,000 businesses worldwide, including notable brands like Brex, Rippling, Navan, Qantas, and SHEIN. We offer fully integrated solutions that encompass business accounts, payments, spend management, treasury services, and embedded finance, all on a global scale.Founded in Melbourne, our talented team of over 2,000 innovative professionals operates across 26 offices worldwide. With a valuation of $8 billion and backing from industry-leading investors such as T. Rowe Price, Visa, Mastercard, and Sequoia, we are at the forefront of building the future of global payments. If you are eager to engage in groundbreaking work and make a significant impact, we invite you to join us.What We Look ForWe seek proactive builders with entrepreneurial spirit who are passionate about contributing to our mission and embody our operating principles. You should possess strong expertise relevant to your role, exhibit sharp analytical thinking, and be driven by curiosity. We value individuals who make informed decisions based on core principles, balancing speed with thoroughness.Collaboration and humility are key traits we admire. You should be capable of transforming innovative ideas into tangible products and possess a strong execution mindset. Leveraging AI to enhance efficiency and solve problems swiftly is essential. Here, you will confront complex, high-visibility challenges alongside exceptional colleagues, advancing your career as we shape the future of banking.About Our TeamOur global team extends across Australia, China, the USA, and Singapore, innovating in applied data science, data engineering, and platform solutions to support Airwallex's rapid growth. You will work closely with a diverse array of cross-functional partners, including Product, Engineering, Marketing, Sales, and Finance, to address intricate data challenges and influence the evolution of fintech.Discover more about our data science team in this blog.

Lyft Urban Solutions seeks a Firmware Engineer based in San Francisco, CA. This position centers on creating reliable firmware for urban transportation systems, supporting technology that helps cities operate more efficiently and safely. Responsibilities Design and maintain firmware for Lyft Urban Solutions products Collaborate with engineers and product teams to introduce new features and refine existing ones Take part in projects aimed at improving urban mobility and driving transportation innovation Team Environment The team values collaboration and practical problem-solving. Engineers here share a commitment to enhancing city transportation for everyone, working together to deliver solutions that have a real impact.

Role overview Lyft seeks a Senior Product Manager to join its Autonomous Vehicles division in San Francisco. The position centers on moving AV technology forward and influencing the future of Lyft’s autonomous transportation products. What you will do Lead product development and set strategy for AV projects at Lyft. Collaborate with engineering, design, and operations teams to enhance safety, efficiency, and the overall user experience of autonomous vehicles. Apply data and insights to guide decisions and shape the AV product roadmap. Support Lyft’s goal of expanding transportation access through autonomous technology. Location This role is based in San Francisco, CA.

Company: Airbnb, Inc. Role: Senior Data Scientist - Identity and Algorithms Location: United States About Airbnb Since 2007, Airbnb has connected millions of hosts and guests worldwide. With over 5 million hosts and more than 2 billion guest arrivals across nearly every country, Airbnb offers distinctive stays and experiences that help build authentic connections in communities. Building Trust at Scale Trust forms the foundation of Airbnb’s community. The Identity Data Science team works to ensure every user is authentic, supporting Airbnb’s mission to create the most trusted travel platform. This team partners closely with product, engineering, and operations to advance identity verification systems and strengthen defenses against new threats. “Our real innovation is not allowing people to book a home; it’s designing a framework to allow millions of people to trust one another. Trust is the real energy source that drives Airbnb…” - Brian Chesky, Co-Founder & CEO (2019) What You Will Do This senior data science role focuses on improving the safety and well-being of Airbnb’s users through algorithmic and data-driven solutions. The position calls for a "full-stack" data scientist with a broad methodological skillset, ready to lead high-impact projects such as: Raising identity verification standards using biometrics, NFC technology, and integrations with Apple and Google services. Building advanced statistical models to detect identity fraud, including computer vision models for altered images and large language models (LLMs) to evaluate suspicious account features. Automating and improving human-in-the-loop machine learning processes to classify fraud cases and generate training labels. Deploying real-time anomaly detection systems to quickly spot emerging threats across regions and platforms. Designing intelligent sampling strategies to estimate rare event rates and track critical metrics.