Forward Deployed Marketing Data Scientist at Hightouch | Remote

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.

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.

About the RoleJoin our dynamic team at OpenAI as a Data Scientist within the People Innovation Labs. This innovative engineering team is integrated into our People organization and is dedicated to redefining our strategies for attracting and retaining exceptional talent while empowering every individual to excel in their roles.From enhancing recruitment processes to fostering a vibrant company culture, we are developing systems and products that provide our People Team with a competitive advantage by integrating OpenAI's models and first-principles thinking into all facets of our operations. Our initiatives range from pioneering projects like OpenHouse, our internal knowledge hub, to AI-driven automations and scalable recruiting solutions. We are shaping the future of work at OpenAI, crafting a model for how AI can enhance productivity, culture, and innovation.In this role, you will collaborate closely with Product and Engineering teams to ensure that our endeavors yield measurable business results.

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.

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 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.

At Perplexity, we embody the future of AI, bringing transformative solutions to people who demand more. Our data team is at the forefront of this revolution, strategically integrating AI into every facet of our operations.We seek a passionate individual with a strong background as a data scientist, analytics engineer, or data engineer. You understand the significance of key metrics, can expertly design A/B tests that address core questions, dive deep into data models to solve discrepancies, and are eager to take on the challenge of building AI systems that will revolutionize the data science landscape.This is not just another text-to-SQL bot or a simple dashboard. You will create AI agents capable of conducting comprehensive analyses autonomously, from hypothesis formation and query execution to result interpretation and actionable recommendations. Your work will ensure that our entire data warehouse is accessible to AI systems, enabling precise queries across the board. You will develop self-healing data pipelines that proactively identify and resolve issues before they disrupt workflows. In doing so, you will empower our small data team to operate with the efficiency and output of a much larger organization.Join a forward-thinking data team that is already leveraging AI to enhance its processes, with full support from leadership to expand these efforts. Together, we will build a world-class team focused on creating scalable systems, innovative tools, and an AI-centric working environment that not only elevates our standards but also drives the entire industry forward.

Join our dynamic Analytics team at DoorDash, where we are seeking an innovative Senior Lead Data Scientist to spearhead the exploration and interpretation of complex data sets. This pivotal role will help shape our global platform expansion strategies, driving informed decisions across all facets of our organization.About the TeamThe Analytics team is dedicated to leveraging advanced analytical methodologies to inform strategic initiatives and operational decisions. As a Senior Lead Data Scientist, you will play a crucial role in transforming insights into actionable strategies that contribute to DoorDash’s success.About the RoleIn this role, you will delve into intricate data analyses to tackle significant business challenges, devise and implement experiments based on your findings, and collaborate with cross-functional teams to enact meaningful operational changes. Your expertise will be crucial in enhancing our marketplace efficiencies, optimizing customer acquisition, and addressing fraud prevention among other exciting challenges.If you thrive on identifying patterns in data chaos, possess a passion for building impactful market strategies from the ground up, and have a proven track record of employing analytics to drive revenue and operational growth, we want to hear from you!Your ImpactLead and mentor a team of Data Scientists in uncovering vital business insights while also contributing as an individual expert.Shape the Product and Operations roadmap with data-driven recommendations.Engage with senior leadership to present your team's findings and address complex business challenges.Establish measurement strategies for your area, defining key performance indicators and best practices in experimental design and statistical analysis.Craft a strategic learning roadmap informed by data insights, key questions, and hypotheses.QualificationsA Master’s or Ph.D. in Mathematics, Physics, Statistics, Economics, Computer Science, or a related field.8+ years of experience in Data Science, with a focus on product analytics and operational strategies.Proficiency in statistical tools and programming languages such as Python, R, or SQL.Strong analytical mindset with a demonstrated ability to solve complex problems using data.Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.

About Our TeamJoin the User Operations team at OpenAI, where we are dedicated to delivering outstanding customer experiences with our innovative products. Our team tackles complex challenges, provides expert technical guidance, and empowers customers to fully leverage our solutions. Collaborating closely with Sales, Technical Success, Product, Engineering, and other departments, we ensure a seamless experience for our diverse clientele, ranging from emerging startups to established global firms. Given the rapid pace of innovation at OpenAI, transforming our extensive support data into real-time insights and scalable analytics is vital for maintaining exceptional customer satisfaction as we move toward AGI.Role OverviewWe are looking for a proactive Support Data Scientist who will analyze user-support data to identify trends, volume patterns, and friction points, converting insights into actionable strategies and continuous reporting. You will design and maintain self-serve dashboards that provide real-time information to stakeholders, ensuring seamless collaboration with Data Science and Engineering teams for clean data pipelines, robust modeling, and scalable tools. Your work will focus on proactive friction detection and real-time service health monitoring, delivering insights that drive informed decision-making rather than just aesthetic presentations.This position is based in San Francisco, California, employing a hybrid work model with three days in the office each week. We also offer relocation assistance for new hires.Key Responsibilities:Analyze extensive support and product datasets to identify trends, key drivers, and user experience challenges, translating findings into actionable insights.Develop and maintain user-friendly self-serve dashboards and reporting tools that empower non-technical teams to address their own data inquiries.Create a standardized metrics framework for service performance, establishing automated data-sharing pipelines and scorecards with our BPO partners to maintain a unified real-time view of success.Utilize large language models (LLMs) to build custom classifiers that automatically categorize and segment incoming data, enhancing routing accuracy, enriching self-service insights, and accelerating root-cause analysis.Collaborate with Data Engineering to ensure reliable data pipelines, implement quality checks, and document processes for sustained excellence.

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 AirwallexAirwallex stands as the premier unified payments and financial platform designed for global enterprises. Leveraging our distinctive blend of proprietary technology and innovative software, we serve over 200,000 businesses worldwide—including notable companies such as Brex, Rippling, Navan, Qantas, and SHEIN—empowering them with fully integrated solutions to streamline business accounts, payments, spend management, treasury, and embedded finance on a global scale.Founded in Melbourne, we are proud to employ a diverse team of over 2,000 forward-thinking professionals across 26 offices globally. With a valuation of US$8 billion and support from esteemed investors like T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of building the future of global payments and financial solutions. If you’re eager to engage in the most ambitious work of your career, we invite you to join our team.

About GustoAt Gusto, we are dedicated to empowering the small business economy. We take care of essential services such as payroll, health insurance, 401(k)s, and HR, allowing business owners to concentrate on their passion and serving their customers. With teams based in Denver, San Francisco, and New York, we proudly support over 400,000 small businesses nationwide, and we are committed to building a workplace that reflects and celebrates the diversity of our customers. Discover more about our Total Rewards philosophy. About the Role:We are seeking a highly skilled and motivated Staff Data Scientist with a minimum of 7 years of experience in a business environment. In this pivotal role, you will utilize experimentation, statistical inference, and causal analysis to drive strategic decision-making that enhances our organization's success. The ideal candidate is a trusted data storyteller with strong statistical and programming skills, passionate about using these abilities to support small businesses in thriving.About the Team:In this position, you will collaborate closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in your domain's data, define and track metrics that provide insights into our business performance, and delve into our Payroll, Benefits, and HR data to deliver valuable insights and answer critical questions. You will also implement AI-assisted methodologies to accelerate analysis, enhance rigor, and broaden the impact of insights throughout Gusto. We have multiple senior roles open, each focusing on a different segment of our business.Here’s what you’ll do day-to-day:Lead: Tackle ambiguous challenges, design analytical frameworks, and introduce scalable structures across multiple product domains.Strategic Partnership: Work alongside product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategies, and steer data-informed decision-making.Analytical Rigor: Employ advanced statistical methods, causal inference, experimentation, and AI-assisted analytics to identify product performance drivers, distinguishing signal from noise.Experimentation & Analysis: Conduct rigorous experimentation to validate hypotheses and inform product iterations.

Join Databricks as a Principal Data Scientist and contribute to shaping the future of data analytics and machine learning. In this pivotal role, you will leverage your expertise to drive impactful projects, collaborate with cross-functional teams, and lead innovative research initiatives that enhance our product offerings. As a thought leader, you will utilize your extensive knowledge in data science to influence our strategic direction, ensuring our solutions remain at the forefront of technology.

About GustoAt Gusto, we are dedicated to empowering small businesses to flourish. Our comprehensive solutions encompass payroll, health insurance, 401(k)s, and HR, allowing business owners to concentrate on what they do best: serving their customers and mastering their craft. With teams located in Denver, San Francisco, and New York, we proudly support over 400,000 small businesses nationwide, while striving to cultivate a workplace that reflects and honors our diverse clientele. Discover more about our Total Rewards philosophy.About the Role:We are seeking an experienced and driven Principal Data Scientist with over 10 years of expertise to join our Product team. In this pivotal role, you will utilize your skills in experimentation, statistical inference, and causal analysis to influence strategic decision-making that propels our organizational success. The ideal candidate is a compelling data storyteller with robust statistical and programming capabilities, passionate about leveraging data to support small business growth.In this position, you will collaborate closely with our Product, Engineering, Design, Finance, and other Data teams to become an authority on your domain's data, establish and monitor key metrics to assess business performance, and analyze our Payroll, Benefits, and HR data to extract actionable insights. Additionally, you will adopt AI-assisted methodologies to enhance analysis efficiency, improve rigor, and broaden the dissemination of insights across Gusto.We have multiple senior Data Scientist roles available at this senior level, each concentrating on various critical business areas.Here’s what you’ll do day-to-day:Strategic Leadership: Develop the analytical strategy for a significant product or business segment. Pinpoint high-impact opportunities, set long-term objectives for measurement and experimentation, and synchronize executive stakeholders on data-driven initiatives.Execution Excellence: Drive the implementation of comprehensive analytical roadmaps that influence company strategy. Ensure alignment and uphold consistent analytical rigor and metric integrity across product domains.Scaled Impact: Beyond being an expert in statistical methods and fostering impact...

Join Reddit as a Senior Data Scientist in our Consumer Insights team, where you will leverage data to shape the future of community engagement. In this pivotal role, you will identify new opportunities for user growth, enhance engagement strategies, and drive retention through data-driven insights. You will conduct exploratory analyses, guide product strategy, and spearhead innovative experiments, all while collaborating closely with cross-functional teams. Your contributions will significantly impact how millions of users connect with the content and communities they care about.

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.

Join Our Dynamic TeamAt OpenAI, the Strategic Finance team plays a pivotal role in driving substantial investment initiatives. We are dedicated to enhancing OpenAI's long-term success by collaborating across departments to strategically allocate resources for maximum impact. Our team works closely with Finance, Product, Engineering, and Go-To-Market divisions to provide critical insights and support strategic decisions that shape the future of our company.Your Role and ResponsibilitiesAs a key member of the Strategic Finance Data Science team, you will be instrumental in designing, developing, and managing essential models, reporting systems, and analytical frameworks. Collaborating with Finance leadership and interdisciplinary teams, you will leverage your expertise in predictive modeling and causal inference to deliver actionable insights that inform high-stakes decision-making.This position is based at our San Francisco headquarters, adopting a hybrid work model with three days in the office each week. We also offer relocation assistance to new hires.Your Key Contributions Will Include:Deeply understanding OpenAI’s data architecture and collaborating with Data Engineering and Finance teams to extract valuable insights.Developing and scaling causal inference models to evaluate the effects of various strategies on user growth and financial performance.Creating customer segmentation strategies to drive targeted growth initiatives and enhance customer lifetime value.Automating reporting and analyses through innovative data products and agentic solutions.Conducting ad hoc analyses to support product pricing and other key business decisions.Designing and presenting dashboards that empower leadership to monitor key performance indicators and make informed decisions.Leading cross-functional data science projects from inception to completion, ensuring timely and impactful delivery.Ideal Candidate Profile:Master's or PhD in a quantitative discipline, with a minimum of 7 years of experience in a data-centric role, preferably in a fast-paced, high-growth environment.Proficient in Python, SQL, Tableau, and other analytical tools.Strong analytical prowess with experience in managing and interpreting large, intricate datasets.Proven ability to translate complex data into clear, actionable insights.

Draup, based in San Francisco, is an AI company backed by Series A investors. The team builds an intelligence platform that supports global enterprises in workforce and go-to-market planning. Draup’s platform processes massive volumes of data, including over 1 billion job descriptions and 850 million professional profiles, and draws from more than 100 labor databases. Clients include more than 250 enterprises, with five of the Fortune 10 among them. The Silicon Valley engineering group is expanding and seeks experienced data scientists who are interested in advanced AI research and product development. This small team focuses on projects with significant impact across Draup’s offerings. What you will do Build and maintain machine learning models for classification, extraction, trend analysis, and predictive scoring using large structured and unstructured datasets. Design and execute experiments and benchmarks to measure model accuracy, address bias, and validate results at scale. Apply NLP techniques such as embeddings, named entity recognition (NER), and text classification in production data pipelines. Collaborate with engineering teams to transition models from research to production, including monitoring and drift detection. Develop evaluation frameworks to assess AI-generated outputs across multiple product areas.