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Experience Level
Entry Level
Qualifications
Ideal candidates will possess a strong background in data science, particularly in machine learning algorithms and statistical analysis. A Bachelor’s degree in a quantitative field such as Computer Science, Statistics, or Mathematics is preferred. Experience with data manipulation tools such as Python or R, and familiarity with SQL is essential. Candidates should also have excellent problem-solving skills and the ability to communicate complex data insights effectively.
About the job
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.
About Lyft, Inc.
Lyft is a leading ride-sharing platform dedicated to improving transportation accessibility and sustainability. Our mission is to reconnect people and communities through empowering transportation solutions. Join us in making a significant impact on how people move in their cities.
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Search for Senior Data Scientist Decisions Risk At Lyft San Francisco
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.
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.
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
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As an Executive Business Partner at Lyft, you will play a pivotal role in driving strategic initiatives and supporting executive leaders to ensure alignment with company goals. Your expertise will be instrumental in enhancing operational efficiency and fostering collaboration across departments.
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Lyft is hiring a Counsel for its Product & Commercial Legal Team in San Francisco. This attorney will focus on Lyft’s rideshare and safety programs, with a particular emphasis on safety initiatives, driver issues, and public policy. Role Overview This position works closely with teams across the company, including Safety & Customer Care, Risk Management, Driver Operations, Rider Services, Policy Advocacy, and Marketing. The legal work is varied and often addresses new challenges in the rideshare industry. Expect to handle matters that require both creative problem-solving and sound legal judgment. What You Will Do Advise on legal issues related to Lyft’s safety programs and driver support Help shape public policy and respond to regulatory developments Work with cross-functional partners to address legal risks and support business goals Provide practical guidance in situations with evolving or ambiguous legal frameworks What Sets You Up for Success Strong relationship-building skills across teams and functions Comfort with ambiguity and shifting priorities Experience managing legal risk in a changing environment Ability to offer clear, actionable legal advice Lyft values a workplace where everyone can thrive and contribute. The company seeks candidates who are proactive, collaborative, and ready to help shape the future of rideshare safety.
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.
About UsAt Koah Labs, we are revolutionizing the advertising landscape by creating an ad network designed for the next generation of AI-driven products. Our mission is to empower publishers to optimize monetization while enabling advertisers to connect with their target audience efficiently and with respect for user privacy and experience.Based in the vibrant city of San Francisco, our cohesive team consists of experts with backgrounds from prestigious companies like X, Apple, and Meta, as well as from successful startups. We have secured funding from top-tier investors and are experiencing rapid growth, gaining significant traction on both publisher and advertiser fronts.Joining Koah Labs means becoming part of a foundational team where your contributions will directly influence our product and the broader ecosystem we are building. We value speed, high trust, and a commitment to excellence in our work.Our Technology StackInfrastructure: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, CloudflareData Management: PostgreSQL, ClickHouse, Redis, Kafka, PythonCore Application: Ruby on Rails, React, TypeScriptSDK Development: iOS, Android, Web, Flutter, React NativeYour RoleCollaborate within the product engineering team to leverage data and causal reasoning for product decision-making.Design, implement, and evaluate experiments, analyzing outcomes for actionable insights.Elevate engineering practices by promoting data-driven decision-making and a thorough understanding of key business metrics.Employ rigorous statistical analysis and modeling to transform extensive marketplace data into impactful tools and insights that guide product strategy.Are You the Right Fit?You possess an advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related discipline.You thrive on tackling complex challenges, formulating testable hypotheses, and conducting research that drives meaningful business outcomes.You are committed to continuous learning and innovation, with a desire to challenge conventional thinking.You have strong capabilities in mathematical and statistical modeling.You excel in communicating your findings to both technical and non-technical stakeholders.
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About AirwallexAirwallex stands as the premier unified payments and financial platform tailored for global enterprises. Our unique blend of proprietary infrastructure and advanced software empowers over 200,000 businesses across the globe, including notable names such as Brex, Rippling, Navan, Qantas, and SHEIN. We offer fully integrated solutions for managing everything from business accounts and payments to spend management, treasury services, and embedded finance on a global scale.Founded in Melbourne with a dynamic workforce of over 2,000 innovative professionals across 26 global offices, Airwallex is valued at $8 billion. We are backed by leading investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, positioning us at the forefront of creating the future of global payments and financial services. If you are ready to embark on the most ambitious journey of your career, we invite you to join us.Attributes We ValueWe seek builders with an entrepreneurial spirit who aspire for real impact, accelerated growth, and genuine ownership. You bring deep expertise and analytical thinking, driven by our mission and operating principles. You thrive in a fast-paced environment, demonstrating curiosity and making decisions based on foundational principles while balancing speed with thoroughness.With a humble and collaborative approach, you transform innovative ideas into tangible products and ensure projects are completed from start to finish. Leveraging AI, you work efficiently and solve problems quickly. Here, you will tackle complex, high-impact challenges alongside exceptional teammates and advance your career as we redefine the future of global banking. If this resonates with you, let's innovate together.Growth Data Science TeamThe Growth Data Science team is at the heart of Airwallex’s growth strategy, leveraging data and AI to create a sustainable competitive edge. We design and implement advanced solutions encompassing predictive modeling, personalization, LLM-powered systems, incentive optimization, and causal inference to drive significant growth throughout the customer journey.Discover more about our data science team in this blog.The RoleWe are on the lookout for a Senior Data Scientist to collaborate closely with our Growth and Marketing teams. Your role will involve designing, deploying, and refining impactful data science initiatives that drive our growth objectives.
Join Aircall, the leading integrated customer communications and intelligence platform that empowers growing businesses worldwide. With a trusted network of over 20,000 companies, Aircall seamlessly integrates voice and digital channels into one powerful platform, featuring one-click connections with top CRMs and over 100 essential business tools. Our AI-driven insights and automation capabilities enable sales and support teams to optimize their time, discover new opportunities, and deliver outstanding customer experiences. With a diverse global team of over 600 in cities such as Paris, New York, San Francisco, and more, Aircall is revolutionizing the way businesses engage with their customers, fostering deeper relationships and driving measurable success.Our Work Culture: At Aircall, we prioritize customer satisfaction, continuous learning, and extraordinary results. We encourage open collaboration, ownership, and swift, informed decision-making. If you thrive in a dynamic, team-oriented environment where curiosity, trust, and impact are key, you will fit right in.About Our TeamThe Data team at Aircall is integral to our decision-making process, driving innovation and growth through advanced data solutions, tools, and actionable insights.Role OverviewAs a Senior Data Scientist, you will play a crucial role in providing insights to our product and business teams, collaborating closely with product and engineering leaders. You will support key initiatives such as pricing strategies, packaging, multi-product approaches, and self-service solutions. Additionally, you will work cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data requirements into impactful solutions. Your contributions will also include establishing best practices in analytics and mentoring team members to uphold high standards in data governance and insight generation.
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 Windfall, a pioneering people data and AI company, where data science is at the heart of our mission. We are dedicated to transforming how organizations understand and leverage people data by equipping leading commercial and nonprofit partners with precise, actionable predictive models.We are seeking a product-focused Senior or Staff Data Scientist to be part of our Modeling & AI team. In this pivotal role, you will directly influence customer success by developing custom propensity models that tackle our clients' most pressing challenges. Collaborating closely with customer data and Windfall's extensive data resources, you will craft innovative solutions and create comprehensive modeling pipelines that convert data into tangible value.This position offers a unique chance to witness your contributions in action, working hand-in-hand with our clients to develop a range of models, from sophisticated marketing and lead scoring to donation likelihood models that enhance the missions of the world's leading nonprofit organizations.
Join Whatnot as a Data Scientist specializing in Risk & Fraud and leverage your analytical skills to help us combat fraud and mitigate risks in our vibrant online marketplace. You will work collaboratively with cross-functional teams to analyze data, identify trends, and develop strategies that improve our platform's security and user experience.
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.
About DecagonDecagon stands at the forefront of conversational AI, enabling brands to create unparalleled concierge customer experiences.Our innovative technology empowers leading enterprises such as Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to harness AI agents that facilitate personalized and highly engaging interactions across various channels, including voice, chat, email, and SMS.We envision a future where customer experience transcends traditional support methods, offering quicker solutions, enriched dialogues, and more profound connections. Backed by elite investors like a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, we are committed to this vision.At Decagon, we thrive in an office environment that champions collaboration, excellence, and rapid progress. Our core values—Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle—guide our team dynamics and growth.About the RoleIn your role as a Senior Data Scientist at Decagon, you will apply rigorous technical expertise to analyze, test, and leverage data across our business operations. You will design experiments, utilize advanced statistical techniques, and construct scalable analytical frameworks to directly influence product strategy and enhance corporate performance.You will collaborate with Engineering and Product teams to implement robust measurement practices, promote data-driven decision-making, and derive insights that will guide Decagon’s future direction. This position requires a blend of analytical excellence and product insight, with the capacity to impact decisions at the highest organizational levels.In this role, you willDevelop and manage foundational datasets and metrics that reflect usage, performance, and efficiency across Decagon's AI platform.Enhance and expand Decagon’s data models, metrics, and dashboards to ensure coherent and scalable reporting across various teams.Collaborate closely with Engineering to inform strategy using data—identifying potential bottlenecks and scaling challenges before they escalate.Partner with Product and Engineering teams to integrate experimentation and measurement best practices into product development processes.Continuously refine Decagon’s data stack, ensuring efficient models, pipelines, and tools that enable self-service analytics across the organization.
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.
Mar 11, 2026
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