Senior Data Scientist at tvScientific | San Francisco, CA

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.

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.

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.

About tvScientifictvScientific is the premier CTV advertising platform specifically designed for performance marketers. By harnessing extensive data and innovative science, we automate and enhance TV advertising to achieve tangible business results. Our integrated solution encompasses media buying, optimization, measurement, and attribution, all within a single, efficient platform. Developed by industry veterans with deep experience in programmatic advertising, digital media, and ad verification, our platform provides advertisers with the trust they need to scale their business.As a vital member of our Data Science team, you will transform data into actionable insights, influence business strategies, and lead analytics projects from start to finish. Your daily responsibilities will include crafting tailored reporting and analytics tools to address the specific needs of our clients.

Join Airwallex as a Senior Data ScientistAt Airwallex, we are revolutionizing the payment and financial landscape for global businesses. Our all-in-one platform empowers over 200,000 companies worldwide, including renowned brands like Brex, Rippling, Navan, Qantas, and SHEIN, to manage their business accounts, payments, spend management, and treasury solutions seamlessly.Founded in Melbourne, our diverse team of over 2,000 innovators spans across 26 offices globally. With a valuation of US$8 billion and support from top-tier investors such as T. Rowe Price, Visa, Mastercard, and Sequoia, we are at the forefront of creating the future of global finance. If you are ready for a career-defining challenge, we invite you to join our mission.What We Look ForWe are seeking dynamic individuals with a builder’s mindset who thrive on making a significant impact and possess a passion for learning. You should bring expertise in data science, along with critical thinking skills that align with our mission and operating principles. We value speed, curiosity, and sound judgment, allowing you to explore data deeply and make informed decisions.Collaboration is key at Airwallex; we need team players who can transform innovative ideas into tangible products. As a Senior Data Scientist, you'll tackle complex challenges, leveraging AI to enhance efficiency and effectiveness in our operations.About Your TeamYour role will involve collaborating closely with Product, Growth, and Commercial teams to enhance our data science capabilities. We are looking for someone who takes ownership from the outset, delving deep into data analysis to uncover the reasons behind shifts in outcomes, while skillfully balancing analytical approaches with business context. You will use AI to convert insights into scalable solutions that drive revenue growth and operational efficiency.

Join SoFi as a Senior Data Scientist in our Credit Strategy team, where you will leverage data-driven insights to enhance our lending strategies and improve customer experiences. You will be responsible for developing advanced analytical models, utilizing machine learning techniques, and collaborating with cross-functional teams to drive data-centric decisions.

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 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.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future.At SoFi, we are revolutionizing how individuals interact with personal finance. As a forward-thinking financial services company and national bank, we utilize innovative, mobile-first technology to empower millions of members to achieve their financial goals. The finance industry is undergoing a significant transformation, and we are leading the charge. Every day, we come to work with the knowledge that our efforts have a tangible impact on people's lives, guided by our core values. Become part of our mission to invest in yourself, your career, and the financial landscape.Your RoleThe Borrow Data Science team is on the lookout for a Senior Data Scientist who will play a crucial role in driving growth across our Lending sectors by converting raw data into actionable insights that fuel our success. This position is perfect for an inquisitive data scientist who is driven to discover insights in advance of requests.To excel in this role, you must function as a strategic partner; you are more than just a technical executor—you are an analytical storyteller who bridges the gap between intricate data and business strategy. You will leverage technical skills in SQL, Python, dbt, and Airflow to build robust pipelines in Snowflake, while your true influence will manifest through leading cross-functional initiatives and advocating for data-driven decisions that shape the product roadmap.Key ResponsibilitiesProactive Insight Generation: Harness your curiosity to explore data deeply, uncovering trends and opportunities that may be overlooked, and share these findings proactively with leadership.AI Innovation: Serve as a catalyst for AI integration within the team. Identify and implement AI tools and workflows that enhance data engineering tasks, expedite analysis, and drive substantial business results.Analytical Storytelling: Transform complex quantitative analyses into clear, convincing narratives that enable business leaders to make informed, high-impact decisions.Strategic Leadership: Collaborate with cross-functional teams to optimize core product decisions, including funnel conversion, experimentation, and unit economics.

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.

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 FaireFaire is a pioneering online wholesale marketplace committed to the belief that the future is local. Independent retailers around the world are generating more revenue than Walmart and Amazon combined, yet they remain comparatively small. At Faire, we harness technology, data, and machine learning to unite this vibrant community of entrepreneurs globally. Imagine your favorite local boutique; we empower them to discover exceptional products from across the globe to stock their shelves. By providing the right tools and insights, we aim to create a level playing field, allowing small businesses to compete with larger retail and e-commerce giants.By nurturing the growth of independent businesses, Faire fosters positive economic impacts in local communities worldwide. We are seeking intelligent, resourceful, and passionate individuals to join our mission to bolster the shop local movement. If you share our commitment to community, we invite you to become part of ours.About this RoleAt Faire, we leverage the power of machine learning (ML) and data insights to transform the wholesale landscape, enabling local retailers to compete effectively against giants like Amazon and big box stores. Our talented team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification systems, advertising attribution, and Lifetime Value (LTV) predictions, with the ultimate aim of empowering local retail businesses.The Data Science team at Faire is tasked with creating and maintaining a diverse array of algorithms and models that drive our marketplace. We are dedicated to building machine learning models that enhance our customers' success.As a Data Scientist in the Retailer team, you will face a variety of challenges, such as optimizing logistics and freight costs and determining optimal credit limits. You will also play a crucial role in expanding Faire’s retailer base by enhancing Search Engine Optimization, personalizing landing pages for new retailers, and predicting retailer lifetime values. You will work closely with fellow data scientists, engineers, and product managers to execute projects that extract value from our unique, rich, and rapidly growing two-sided marketplace data.Our current team features experienced Data Scientists and Machine Learning Engineers from leading companies such as Uber, Airbnb, Square, Facebook, and Pinterest. Join us at Faire, where we aim to become a premier destination for data scientists and machine learning professionals!

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.

Employee Applicant Privacy NoticeAbout Us:At SoFi, we are committed to shaping a brighter financial future.We are revolutionizing the way individuals perceive and engage with personal finance. As a leading financial services company and national bank, we leverage cutting-edge, mobile-first technology to assist millions of members in achieving their financial aspirations. In an industry experiencing rapid transformation, we pride ourselves on making a direct and positive impact on people's lives, guided by our core values. Join us to invest in your future, your career, and the financial landscape.The Role:The Compliance Senior Data Scientist will play a pivotal role in enhancing our Anti-Money Laundering (AML) Compliance program through model development, optimization, validation, and data architecture. This position is key in our ongoing efforts to combat financial crime, supporting AML governance initiatives, risk assessments, and inquiries.Key Responsibilities:- Drive the development, implementation, assessment, and validation of AML models, ensuring robust risk coverage across various product lines including banking, brokerage, and lending.- Oversee the maintenance, testing, and configuration of AML vendor solutions to guarantee sound design and performance.- Analyze and evaluate large datasets for quality and suitability for AML model development.- Architect advanced AML models utilizing machine learning and statistical methods for both supervised and unsupervised learning.- Ensure model designs incorporate AML compliance and regulatory requirements.- Document methodologies, data sources, assumptions, and validation results.- Lead governance and quality control initiatives across AML processes.