Senior Data Scientist - Optimization, Central Market Management & AI

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.

At Descript, we are on a mission to revolutionize the way audio and video content is created. Our innovative platform has earned the trust of renowned podcasters, influencers, and prestigious organizations like BBC, ESPN, HubSpot, Shopify, and The Washington Post. With $100M in funding from top investors, including the OpenAI Startup Fund, Andreessen Horowitz, Redpoint Ventures, and Spark Capital, we are poised for tremendous growth. We are seeking a proactive and analytical Senior Marketing Data Scientist to join our dynamic Growth team. In this role, you will collaborate with the Performance Marketing team to design and implement a comprehensive measurement framework, optimize marketing performance across the entire funnel, and drive data-informed business strategies. This crucial position will enable Descript to enhance its marketing capabilities across both B2C and B2B sectors. You will leverage AI-driven analytics tools to streamline decision-making processes and deliver scalable predictive insights. This position can be performed remotely within the United States or onsite in the San Francisco Bay Area.

Join the dynamic Analytics team at DoorDash as a Data Scientist or Senior Data Scientist, where your expertise will directly influence strategic decisions and operational improvements. You will uncover valuable insights from vast datasets, transforming them into actionable recommendations that drive company-wide initiatives. Collaborate with diverse teams in areas like Consumer & Growth, Business Operations, and Customer Experience to elevate our analytics capabilities and impact our business in meaningful ways.

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.

Join Plaid as a Senior Data Scientist specializing in Data Foundations and AI. In this pivotal role, you will leverage your expertise in machine learning and data analysis to drive innovations that enhance our core data products. Collaborating with cross-functional teams, you will create solutions that empower our clients and improve user experiences.

Role overview Pinterest is hiring a Senior Data Scientist for its Responsible AI team. This position focuses on building AI systems that prioritize ethics and fairness. The work involves applying advanced statistical methods and machine learning to support responsible technology development. What you will do Develop and refine AI models with an emphasis on ethical outcomes and fairness Apply statistical analysis and machine learning algorithms to real-world product challenges Work closely with teams across engineering, product, and policy to align AI technologies with Pinterest’s standards for user trust and responsibility Location This role is based in San Francisco, CA, or can be performed remotely within California.

About HightouchHightouch stands at the forefront of AI innovation, catering specifically to marketing and growth teams. Our pioneering AI agents revolutionize marketing processes, empowering marketers to craft compelling content, strategize campaigns, and implement strategies with unprecedented speed and efficiency.As a company, we thrive at the intersection of transformative technological advancements, notably in large language models and agentic AI, alongside the swift adoption of cloud data warehouses like Snowflake and Databricks. Thanks to these advancements, we are proud to be recognized as a leader in AI-driven marketing solutions, partnering with renowned brands such as Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.Our mission is to create significant value for our customers. We take a first-principles approach to problem-solving, acting swiftly and effectively, while fostering an environment of compassion and support. We seek team members who excel in communication, possess a growth mindset, and are driven to achieve collective goals.About the RoleWe are on the lookout for a Forward Deployed Marketing Data Scientist who will work hand-in-hand with our AI Decisioning clients and internal engineering teams to ensure that AI-enhanced marketing campaigns yield measurable and impactful results. This position is uniquely cross-functional: you will engage in diagnosing model behaviors, fine-tuning machine learning parameters, analyzing campaign incrementality, delving into customer data, and translating insights for marketers and executives.Marketing teams leverage Hightouch to transform their operational strategies. Rather than planning campaigns weeks in advance, our AI Decisioning continuously adapts to customer preferences, executing personalized messaging in real-time. Your role is to ensure these AI agents are performing optimally and to clarify their performance metrics to our clients.Collaborating with machine learning engineers, product managers, and Solutions Consultants, you will enhance campaign efficacy, troubleshoot experiments, and uncover new opportunities for growth. Approximately 30% of your time will involve direct customer interaction, while 70% will focus on in-depth analysis and modeling tasks.No two days will be the same, but you can expect to:Manage diagnostics, insights, and optimization for AI Decisioning campaignsArticulate the reasons behind AI Decisioning's performance using counterfactuals, incrementality analyses, and cohort studies.Identify and resolve performance challenges, refine reward functions, and ensure the agent's recommendations align with client objectives.

Join Pinterest as a Senior Data Scientist focusing on Generative AI Automation, where you will leverage your expertise to drive innovative solutions that enhance user experience. You will collaborate with cross-functional teams to develop models that harness the power of AI, optimizing our platform's capabilities and functionalities.Your role will involve analyzing large datasets, creating predictive models, and deploying AI-driven automation tools that support our strategic goals. We are looking for a creative thinker who is passionate about data science and AI, eager to make a significant impact in a dynamic environment.

Our MissionAt Altos Labs, we are dedicated to revitalizing cell health and resilience through innovative cell rejuvenation techniques to reverse disease, injury, and the disabilities that arise throughout life.Discover more about our vision at altoslabs.com.Our ValuesOur core value is simple yet powerful: Everyone Owns Achieving Our Inspiring Mission.Diversity at AltosWe understand that diverse perspectives are crucial for scientific breakthroughs and exploration. At Altos, exceptional scientists and industry leaders collaborate from around the globe to drive our shared mission forward. We prioritize a culture of belonging, ensuring that every employee feels valued for their unique contributions. We are all responsible for maintaining a diverse and inclusive workplace.Your Contributions to AltosJoin Altos Labs in creating a premier AI ecosystem aimed at addressing the most intricate challenges in human biology. You will be instrumental in designing and developing high-performance, scalable solutions that integrate high-dimensional biomedical imaging with molecular and linguistic data.Your role will involve implementing large-scale multimodal data fusion, advancing beyond basic image analysis to develop predictive models that span various biological domains. You will engage directly with data and coding, partnering with our engineering team to ensure these models are scalable, efficiently trainable in distributed cloud environments, and accessible to our global research network.Key ResponsibilitiesModel Development: Create, implement, and train large-scale foundational models (e.g., Vision Transformers, Multimodal LLMs) capable of embedding spatial data and integrating diverse modalities.Innovative Data Fusion: Apply cutting-edge cross-domain mapping and fusion techniques to align heterogeneous biological datasets.Scaling & Training: Develop and oversee high-performance ML pipelines designed to handle petabyte-scale image collections and multi-omics data streams in a cloud infrastructure.Technical Collaboration: Work closely with experimental scientists and software engineers to convert biological complexity into high-performance code and reliable distributed systems.Who You AreWe seek a technical expert who excels at unraveling "unsolvable" challenges through programming and meticulous experimentation. We welcome candidates at the Scientist I, Scientist II, or Senior Scientist levels.

Join Gridware as a Senior Data Scientist specializing in Fleet Performance Optimization. We are looking for an analytical thinker who is passionate about leveraging data to drive actionable insights and optimize fleet operations. You will play a key role in developing advanced data models and algorithms that enhance fleet efficiency and reduce operational costs.As a member of our dynamic team, you will collaborate closely with engineering and operations to implement data-driven strategies that significantly impact our fleet performance. If you thrive in a fast-paced environment and enjoy solving complex problems with innovative approaches, we encourage you to apply!

About the RoleJoin our dynamic Marketing Innovation team as a Data Scientist, where you will play a pivotal role in developing innovative internal tools and systems that revolutionize our marketing strategies and enhance customer engagement.Our mission is to create product-like systems that:Provide personalized, consultative experiences to millions of SMB customers through intelligent lifecycle and sales interactions.Tailor messaging, creative solutions, and outreach based on real-time behavioral insights.Facilitate intelligent routing, targeting, and engagement at scale, minimizing the need for manual intervention.In this position, you will collaborate closely with Product and Engineering teams to ensure that our systems deliver measurable business value.What You’ll DoEstablish success metrics for marketing systems (e.g., incremental pipeline generated, conversion improvements, efficiency gains), incorporating leading indicators for ongoing refinement.Create measurement and experimentation frameworks for continuous systems across lifecycle automation, creative generation, targeting, and routing, employing methods like holdouts, staged rollouts, and quasi-experimental designs.Collaborate with Product Managers and engineers to track, assess, and analyze system launches, ensuring every significant release is observable and accurately evaluated for incremental impact.Convert behavioral and model-driven insights into strategic decisions: determining what to scale, identifying intervention points, and optimizing resource allocation across segments.Develop repeatable decision-making processes (pre-launch criteria → post-launch evaluation → subsequent actions) that translate analysis into tangible improvements.What We’re Looking ForA minimum of 10 years of experience in a quantitative role (e.g., Data Science, Decision Science), ideally within a product-focused organization fostering B2B growth, with familiarity in SMB or scaled self-service models.Strong foundation in experimentation, causal inference, and applied statistics, with a track record of designing and interpreting tests in real-world, always-on environments.Proficient in SQL and Python, with the ability to work with complex, incomplete behavioral datasets to assess impact.Demonstrated success in translating findings into impactful decisions (product development, lifecycle management, targeting, routing).Excellent communication skills to convey complex data insights to diverse audiences and stakeholders.

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.

Join Scopely as a Data Scientist specializing in Marketing & Product! In this role, you will leverage data analytics to drive strategic decisions and optimize our marketing efforts. You will collaborate with cross-functional teams to implement data-driven solutions that enhance user experience and product performance.

Join our innovative team at Pinterest as a Senior Data Scientist in the Core division. We're looking for a data-driven professional who is passionate about leveraging data analytics and machine learning to enhance user experience and drive business outcomes. At Pinterest, you will collaborate with cross-functional teams to develop data models and insights that influence strategic decisions.

Join Our Team as a Senior Events Marketing Manager for the Data + AI World Tour!Are you passionate about crafting unparalleled event experiences that elevate operational excellence? Do you thrive in the dynamic environment of high-growth tech companies where your contributions directly influence business success? At Databricks, we are seeking a Senior Events Marketing Manager to oversee operations, strategy, and execution for our global Data + AI World Tour. This role will transition event operations from reactive to strategic, developing scalable systems that ensure outstanding experiences while upholding operational excellence across diverse global markets. You will report directly to the VP of Global Events and collaborate closely with the Principal Event Marketer for the World Tour Program.

Tendo is seeking a highly skilled Senior Data Scientist to drive our analytics initiatives aimed at enhancing quality management and risk adjustment within health systems. In this pivotal role, you will leverage data from a variety of public and private sources, transforming it into actionable insights that empower healthcare providers. You will be responsible for the development, maintenance, and optimization of predictive models that enhance product performance across various domains, including quality improvement, risk assessment, and operational efficiency.We are looking for a candidate with a strong AI-native mindset and hands-on experience applying advanced AI and machine learning techniques to solve real-world challenges. Your enthusiasm for exploring innovative AI capabilities will play a crucial role in revolutionizing healthcare delivery and patient outcomes. Moreover, you will have the opportunity to pose unique, data-driven questions and spearhead new analytical projects that push the boundaries of our understanding.

About Extend:Extend is transforming the post-purchase landscape for retailers and customers by delivering AI-powered solutions that elevate customer satisfaction and enhance revenue growth. Our all-encompassing platform streamlines customer service, simplifies returns and exchanges, automates fulfillment processes, and offers product and shipping protection, all while ensuring top-tier fraud detection. By fusing cutting-edge technology with outstanding customer support, Extend equips businesses to foster consumer trust and loyalty, driving down costs and boosting profitability.Today, Extend collaborates with over 1,000 premier merchant partners spanning various sectors, including fashion, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports, fitness, and beyond. Supported by leading technology investors, our headquarters is situated in downtown San Francisco.About the Role:The Revenue Analytics team is dedicated to crafting strategic recommendations based on data to scale, boost, and recover revenue. We excel at integrating insights from Sales, Growth, Product, Engineering, and Risk to unearth growth and expansion opportunities that directly impact the company’s profitability. If you're passionate about distilling complexity and uncertainty into measurable outcomes, you'll flourish on our team.What You Will Be Doing:Cross-functional Leadership: Drive cross-functional teams independently through complex queries to influence and enact revenue-generating initiatives and recommendations.Revenue Enhancement: Develop and implement innovative strategies aimed at maximizing revenue and improving client acquisition across the entire revenue pipeline.Data-Driven Decision Making: Spearhead enhancements to our quantitative analysis methods (simulation models, A/B testing, causal impact analysis, etc.) to effectively guide strategic direction, with opportunities to present insights to leadership regularly.Data Infrastructure Management: Oversee, refine, and enhance existing data pipelines to leverage data analytics effectively, defining data structures, and utilizing advanced tracking methods to identify revenue opportunities.Exemplary Standards: Establish a benchmark for the team regarding analytical thinking and excellence.

Why Join Harvey?At Harvey, we are revolutionizing the landscape of legal and professional services. Our approach is not just incremental; we are redefining the entire process by integrating cutting-edge agentic AI, an enterprise-grade platform, and extensive domain expertise. This transformative journey is set to reshape critical knowledge work for generations.This is a unique opportunity to contribute to a company poised for generational impact at a pivotal moment. With over 1,000 customers across more than 58 countries, strong product-market alignment, and exceptional investor backing, we are rapidly scaling and pioneering a new industry category. The ambitions are grand, the standards are high, and the potential for personal, professional, and financial growth is unparalleled.Our team is composed of highly skilled, passionate individuals dedicated to our mission. We prioritize agility, intensity, and ownership in tackling challenges — from conceptualization to long-term impact. We maintain close relationships with our customers, collaborating across all levels to address real issues with urgency and care. If you excel in dynamic environments, strive for excellence, and wish to influence the future of work alongside driven peers, we welcome you to join our journey.At Harvey, the future of professional services is being crafted today — and we are just beginning.Position OverviewWe are seeking a Senior Data Scientist to deeply integrate with Harvey’s rapidly expanding Go-To-Market (GTM) team and establish our GTM data science capabilities from the ground up. In this role, you will serve as a vital analytical partner to GTM, Marketing, and Finance — defining success metrics, uncovering growth and retention drivers, and guiding strategic investments across the business. As one of the initial hires in GTM data science, you will take ownership of developing essential GTM metrics, scalable dashboards, and analytical frameworks that foster data-driven decision-making.Key ResponsibilitiesCollaborate closely with the GTM team as a trusted advisor, discovering innovative methods to enhance business performance and spur growth.Establish, monitor, and refine core metrics across GTM and related functions, creating scalable dashboards and reporting structures that facilitate data-driven decision-making.Design, implement, and assess statistical models (Logistic Regression, K-Means Clustering) to analyze customer behavior and retention efficacy.Utilize statistical and machine learning approaches to model user behavior, predict trends, and identify avenues for growth and optimization.Translate intricate analyses into actionable insights for stakeholders across the organization.

About the Role Grow Therapy is hiring a Senior or Staff Data Scientist in San Francisco. This role focuses on using data to inform key decisions and improve therapy services.

The Data Science team at Asana plays a crucial role in advancing our mission by promoting a data-driven mindset that shapes our product offerings and business strategies. As a key member of the Marketing Data Science team, you will serve as the foremost technical authority, leveraging data and scientific methodologies to design and develop innovative, scalable solutions that boost Asana’s marketing performance. You will lead the technical vision for our data science initiatives, working alongside marketing leadership and the wider Asana data community to identify and capitalize on new opportunities. Your expertise will provide technical direction and mentorship, enhancing the team's capabilities and significantly impacting our overall business strategy through advanced modeling and experimental design.This position is located in our San Francisco office and follows a hybrid work model. Standard in-office days are Monday, Tuesday, and Thursday, with the flexibility to work from home on Wednesdays. Whether you can work from home on Fridays will depend on your specific role and team collaboration. Your recruiter will provide further details regarding in-office expectations during the interview process.