Data Scientist - Machine Learning, Pricing & Rider Engagement

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

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 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.

Join Lyft as a Data Science Manager in our Mapping team, where you'll play a crucial role in shaping the future of transportation. You'll lead a talented team of data scientists, leveraging data to enhance our mapping platform and improve user experiences.In this dynamic environment, you will collaborate with cross-functional teams to derive insights from vast datasets, develop innovative solutions, and drive strategic initiatives. Your leadership will empower your team to explore new approaches in data science, making a significant impact on our products and services.

At Lyft, we are driven by our mission to connect and serve our communities. We strive to foster a workplace where every team member feels valued and has the opportunity to excel. With over half a billion rides and counting, Lyft is tackling complex challenges on a grand scale, utilizing cutting-edge AI and Machine Learning technologies to enhance customer experiences. The Artificial Intelligence, Machine Learning, and Operations Research Platforms team (AIMLOR) is on the lookout for a Senior Machine Learning Engineer who will play a pivotal role in constructing AI Platform components that empower essential AI applications across Lyft. Mastery in Generative AI and platform development is crucial for this position. You will contribute to our platform that facilitates real-time, online, and offline AI and ML model execution, development, and iteration. Collaborating with a team of talented Machine Learning and Software Engineers, you will work on intricate problems and define solutions that make a direct impact on our systems throughout the organization. If you are enthusiastic about building an AI Platform at scale with applications spanning every aspect of our company, we want to hear from you. If you are a creative thinker with a strong background in AI and machine learning systems and are passionate about leveraging data to solve business challenges in a dynamic, innovative, and collaborative environment, we invite you to apply.

At Lyft, our mission is to connect and serve communities by fostering an inclusive work environment where every team member feels valued and empowered to excel.With over half a billion rides completed, Lyft is tackling complex challenges in a fast-evolving landscape filled with extensive data and innovative solutions across various domains including Marketplace, Mapping, Fraud Prevention, Trust & Safety, and Growth. As we redefine transportation with our next-generation platform, we utilize advanced machine learning techniques that process peta-byte scale data to create low-cost, ultra-immersive transportation solutions that enhance lives. Our dedicated Machine Learning Engineers are at the forefront of these efforts, crafting solutions that significantly influence our core business operations.If you are a critical thinker with a robust background in machine learning workflows, passionate about leveraging data to solve business challenges, and thrive in a dynamic, collaborative setting, we want to hear from you!As a Senior Machine Learning Engineer, you will design and implement algorithms that drive the core services and influential products of our platform. The range of challenges we tackle is remarkably diverse, spanning transportation, economics, forecasting, mapping, safety, personalization, and adaptive control. We are eager to welcome motivated experts in these fields who are excited about developing reliable ML systems and solving problems through data in an innovative and fast-paced environment.

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 our dynamic team at Jobs for Humanity as a Machine Learning Data Scientist, where you will harness the power of data to drive innovative solutions for underserved communities. Your expertise will play a crucial role in developing algorithms and models that enhance accessibility and improve lives.As a key member of our team, you will collaborate with cross-functional teams to identify opportunities for leveraging data to create impactful products. If you are passionate about using your data science skills for a greater good, we want to hear from you!

Lila Sciences is seeking a Machine Learning Scientist I or II to help shape the development of foundation models designed for life sciences. This position is based in San Francisco, CA. Role overview This role focuses on building and refining machine learning models that address challenges in scientific research and healthcare. Collaboration with colleagues from different disciplines is central to the work, supporting the creation of solutions that serve real-world needs in the life sciences sector. What you will do Work with cross-functional teams to design and implement machine learning models for life sciences applications. Contribute to projects that aim to improve scientific research and healthcare outcomes through advanced modeling. Requirements Background in machine learning, with interest or experience in life sciences applications. Ability to collaborate effectively across disciplines.

Join Matter Intelligence as a Data and Machine Learning Infrastructure Engineer, where you will play a pivotal role in shaping the future of data-driven decision-making. You will be part of a dynamic team focused on building and optimizing infrastructure that supports innovative machine learning applications. Your expertise will help us enhance our data pipelines and ensure seamless integration of machine learning models into production.

About NationGraphAt NationGraph, we are revolutionizing the accessibility and usability of public sector data for businesses targeting municipalities, state agencies, educational institutions, and specialized districts. Our advanced data intelligence engine extracts actionable insights from millions of public sector sources, empowering organizations to make informed decisions. Established in 2024, our mission is to democratize information, ensuring that public data is genuinely accessible to everyone. Discover more at nationgraph.comOur TeamComprises seasoned entrepreneurs who have successfully built, scaled, and exited multiple companies.Developed robust software infrastructure capable of processing billions in transactions.Supported by top-tier venture capitalists and seasoned operating partners with a track record of investing in and nurturing iconic brands.Role OverviewDesign and implement end-to-end machine learning pipelines.Extract and mine data from various online sources through large-scale web crawling and scraping techniques to enhance our models and insights.Convert unstructured text data into structured knowledge using natural language processing (NLP), entity recognition, and bespoke models.Develop and refine text classification models to systematically organize intricate datasets.Enhance retrieval-augmented generation (RAG) systems utilized in our product offerings.Drive our data strategy by identifying and integrating new data sources.Tackle open-ended technical challenges, fostering a culture of learning and collaboration within the team.Primarily utilize Python and SQL for development.QualificationsA strong quantitative background in fields such as computer science, physics, mathematics, or engineering.Solid foundation in mathematics and statistics.A PhD in a quantitative discipline.Expertise in Python programming.Proactive ownership mentality with the ability to address complex technical challenges to create commercial value.A genuine enthusiasm for continuous learning, growth, and uncovering insights from complex datasets.Strong problem-solving, communication, and collaboration abilities in a dynamic work environment.

Bugcrowd is hiring a Manager to lead its AI and Data Science team. This fully remote role is open to candidates based in the US. The position centers on building and improving data-driven and AI-powered systems that support offensive security efforts. Role overview The AI and Data Science Team Manager will spend the majority of their time on technical direction, working closely with a skilled group of engineers. The focus is on designing scalable data pipelines and developing predictive models that address complex cybersecurity challenges. Collaboration is key, as the team works together to create next-generation AI-driven security products. What you will do Set and communicate the technical vision for the AI and Data Science team Guide engineers in building scalable data pipelines Oversee the training and deployment of predictive models to solve cybersecurity problems Collaborate on developing proactive, AI-driven security products Requirements Strong technical background in AI and Data Engineering Experience leading or managing technical teams Ability to direct projects focused on offensive security and predictive modeling Interest in developing scalable, data-driven systems for cybersecurity Location This position is remote and open to candidates located in the United States.

About Pinterest:At Pinterest, we empower millions of users to discover creative ideas, envision new possibilities, and curate memories that last a lifetime. Our mission is to inspire everyone to create a life they love, driven by the passion and creativity of our dedicated team.Join a vibrant career where you can ignite innovation for millions, turn your passion into growth opportunities, and celebrate diverse experiences while enjoying the flexibility to perform at your best. Building a career you love is within reach.With over 500 million global users and 300 billion ideas saved, our Machine Learning engineers are at the forefront of creating personalized experiences that enhance how Pinners interact with our platform. With a team of just over 3,000 talented individuals, you'll have unparalleled access to a wealth of data and contribute to large-scale recommendation systems like never before.

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 our innovative team at Aarki Inc. as the Director of Machine Learning! In this pivotal role, you will lead our machine learning initiatives, driving the development of cutting-edge algorithms and models that enhance our data-driven solutions. You will collaborate with cross-functional teams to translate complex data into actionable insights, all while fostering a culture of learning and innovation.

Join Hive as a Senior Machine Learning Engineer and help shape the future of AI! We are seeking passionate individuals who excel at developing and deploying cutting-edge deep learning models. In this role, you will work with large-scale datasets to create innovative machine learning solutions, collaborating closely with a talented team of engineers to push the boundaries of artificial intelligence. Ideal candidates will have a proven track record of building and scaling machine learning projects from conception to production, along with a strong commitment to continuous learning and personal ownership in their work.

Employee Applicant Privacy Notice SoFi is a national bank and financial services company that creates mobile-first tools to help people manage their money and reach their financial goals. The team values direct impact and aims to make a positive difference for members. Role overview The Senior Marketing Data Scientist - Machine Learning joins the Marketing Data Science team in San Francisco, CA. This position supports SoFi’s Marketing organization through analytics, model building, experimentation, and performance measurement to help drive marketing and growth initiatives. Work centers on designing, building, and scaling machine learning models that improve customer acquisition, conversion, retention, and lifetime value across SoFi’s products. The role draws on behavioral, transactional, and credit data to create predictive models and actionable insights. Collaboration with cross-functional teams is key for identifying business needs, managing model development end-to-end, implementing models in production, and monitoring their ongoing performance. Regulatory compliance is a consistent focus. Main responsibilities Design, develop, and deploy machine learning models to optimize customer acquisition, onboarding, and engagement for products such as loans, credit cards, investments, and cryptocurrency. Build predictive models for outcomes including customer lifetime value, conversion rates, cross-sell and upsell effectiveness, and retention across channels like email, direct mail, in-app, and Operations. Work with structured and unstructured data, such as behavioral signals, transaction data, and credit attributes, to enable audience segmentation and large-scale personalization. Maintain a feature store to streamline model development. Set up A/B testing frameworks to evaluate marketing strategies and measure their impact.

Key Responsibilities:Serve as a pivotal member of the leadership team, shaping strategy and vision for the organization.Establish the functional and research roadmap to drive business growth.Guide, mentor, and expand the data science team, fostering professional development.Utilize high-quality, diverse datasets from Fortune 500 companies to extract actionable insights for our clients.Design, prototype, and refine innovative architectures in Natural Language Processing (NLP), including Dual-Encoders, Retrieval-Based Ranking Engines, and Generative Models.Establish thought leadership in the industry by sharing insights through blogging and speaking engagements at conferences.

About FaireFaire is a dynamic online wholesale marketplace committed to the belief that the future is local. Independent retailers around the globe are generating more revenue than major corporations like Walmart and Amazon combined, yet they often lack the visibility and resources to compete. At Faire, we harness the power of technology, data, and machine learning to connect this vibrant community of entrepreneurs worldwide. Imagine your favorite local boutique—our platform helps them uncover the finest products from around the globe to offer in their stores. With our innovative tools and insights, we strive to level the playing field, enabling small businesses everywhere to thrive against the giants of retail.By championing the growth of independent businesses, Faire not only supports local economies but also creates a positive economic impact on communities worldwide. We are seeking intelligent, resourceful, and passionate individuals to join us in our mission to empower the shop local movement. If you share our belief in community, we invite you to become part of ours.About this role:At Faire, we leverage cutting-edge machine learning and data insights to transform the wholesale industry, equipping local retailers to compete with e-commerce behemoths. Our team of skilled data scientists and machine learning engineers is dedicated to crafting algorithmic solutions for search, personalization, recommendation systems, and ranking. Our mission is to empower local retail businesses with the necessary tools for success.The Data Science team plays a crucial role in creating and maintaining a variety of algorithms and models that drive our marketplace. We are committed to developing machine learning models that support our customers' growth.We have several openings available in the Data organization.Search: Experience with GenAI and LLMs for search optimization, query understanding, retrieval, and ranking is preferred.Personalization: Experience in personalizing recommendation surfaces through embeddings, near-real-time streaming signals, explore-exploit, and diversification is a plus.Retailer Growth: Experience in developing machine learning solutions to enhance growth through paid marketing bidding, targeting efficiency, and sitemap optimization is preferred.Retailer Products: Experience with predictive modeling, Redshift, and Mode Analytics is advantageous.