Senior Machine Learning Data Scientist - Analytics

Join our dynamic team at Laurel as a Senior Data Scientist specializing in Product Analytics. In this pivotal role, you will leverage your analytical expertise to drive data-informed decisions that enhance our product offerings. You will collaborate closely with cross-functional teams, utilizing advanced statistical methods and predictive modeling techniques to derive actionable insights from complex data sets.Key responsibilities include conducting thorough analyses, developing predictive models, and translating data findings into strategic recommendations. You will have the opportunity to impact product development directly while working in a fast-paced and innovative environment.

Join Hebbia's Innovation JourneyAt Hebbia, we are revolutionizing the financial landscape with our cutting-edge AI platform tailored for investors and bankers. Our technology not only generates alpha but also propels upside for our clients.Founded in 2020 by industry visionaries George Sivulka, with backing from notable figures like Peter Thiel and Andreessen Horowitz, Hebbia is at the forefront of driving data-driven investment decisions for renowned firms including BlackRock, KKR, and Carlyle. Our flagship product, Matrix, is trusted across the globe to manage over $30 trillion in assets, delivering unparalleled accuracy and transparency in AI-driven analysis.We empower finance professionals by uncovering insights that would otherwise remain hidden, accelerating decision-making processes with precision and speed. At Hebbia, we are not just another tool; we are the competitive advantage that enhances performance and market leadership.

Join Ironclad, a pioneering company at the forefront of digital contracting, as a Staff Data Scientist specializing in Product Analytics. In this role, you will leverage data to inform product decisions, enhance user experience, and drive strategic initiatives.You will collaborate with cross-functional teams to develop data-driven insights and recommendations that will shape the future of our product offerings. Your analytical skills will be crucial in interpreting complex data sets, identifying trends, and uncovering opportunities for innovation.

Be Part of the E-Commerce Revolution with Whatnot!Whatnot stands as the largest live shopping platform in North America and Europe, where users can buy, sell, and explore the items they cherish. We are transforming the e-commerce landscape by merging community, shopping, and entertainment into a unique marketplace tailored for you. As a remote co-located team, our culture thrives on innovation, firmly grounded in our core values. With operational hubs across the US, UK, Germany, Ireland, and Poland, we are collaboratively shaping the future of online marketplaces.Whether it's fashion, beauty, electronics, or collectibles like trading cards and comic books, our live auctions cater to diverse interests.And we’re just at the beginning! As one of the fastest-growing marketplaces, we seek audacious, innovative problem solvers across all departments. Stay updated with Whatnot’s latest developments through our news and engineering blogs, and join us in empowering individuals to transform their passions into businesses and connect communities through commerce. Role OverviewAs Whatnot continues its rapid expansion, data plays a pivotal role in influencing our product strategy and enhancing the user experience for both buyers and sellers. We are in search of a Product Data Scientist who will closely collaborate with Product, Engineering, Design, and Operations teams to extract insights, spearhead experimentation, and support data-driven decision-making across the organization.In this position, you will: Generate Insights & Shape Product DirectionEstablish and take ownership of the KPIs that gauge product vitality, user engagement, and marketplace success.Examine user behavior, product usage trends, and marketplace dynamics to pinpoint opportunities and guide product priorities.Convert intricate data into actionable insights for product and leadership teams. Drive Experimentation & MeasurementCollaborate with product managers and engineers to design, execute, and assess A/B tests and feature launches.Create frameworks for causal inference, impact evaluation, and long-term product assessment.Develop scalable methodologies for performance tracking and reporting.

Be Part of the E-Commerce Revolution with Whatnot!Whatnot stands as the largest live shopping platform across North America and Europe, where you can buy, sell, and explore the products you love. We're transforming the e-commerce landscape by integrating community, shopping, and entertainment into a unique experience tailored just for you. As a part of our remote co-located team, we thrive on innovation while being grounded in our core values. With offices in the US, UK, Germany, Ireland, and Poland, we are collaboratively crafting the future of online marketplaces.From fashion and beauty to electronics and collectibles such as trading cards, comic books, and even live plants, our live auctions cater to diverse interests.And this is just the beginning! As one of the fastest-growing marketplaces, we seek adventurous, innovative problem solvers across all sectors. Stay updated with Whatnot through our news and engineering blogs, and join us in empowering individuals to transform their passions into thriving businesses while fostering connections through commerce. Your RoleAs Whatnot continues to expand rapidly, data plays a crucial role in shaping our product strategy and crafting exceptional, high-performance experiences for both buyers and sellers. We are in search of a Product Data Scientist who will collaborate closely with Product, Engineering, Design, and Operations teams to generate insights, drive experimentation, and influence decision-making throughout the organization.In this pivotal role, you will: Discover Insights & Influence Product StrategyDefine and manage the KPIs that gauge product health, user engagement, and marketplace performance.Examine user behavior, product usage patterns, and marketplace trends to pinpoint opportunities and guide product priorities.Convert complex data into practical recommendations for product and leadership teams. Foster Experimentation & EvaluationCollaborate with product managers and engineers to design, execute, and assess A/B tests and feature launches.Create frameworks for causal inference, impact assessment, and long-term product evaluation.Develop scalable methodologies for data analysis and reporting.

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.

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.

About Quizlet:Quizlet is dedicated to transforming the learning experience for students around the globe. With a valuation exceeding $1 billion, our innovative learning platform engages millions of learners each month, including a significant portion of U.S. high school and college students, facilitating over 2 billion learning interactions every month.By integrating cognitive science with advanced machine learning techniques, we aim to personalize education and enhance the learning journey for students, professionals, and lifelong learners alike. We are passionate about empowering learners through diverse methodologies and innovative tools.Let’s Build the Future of LearningJoin us in creating AI-driven learning tools that have a global impact and unlock the potential of individuals everywhere.About the Team:The Data Science and Analytics team at Quizlet is pivotal in product research. We utilize our extensive data sets to amplify the voices of students and educators. Our focus is on delivering insights that guide product strategy through the application of the data science toolkit, playing a critical role in shaping company leadership decisions. Our team collaborates closely with Machine Learning and Data Engineering experts to foster a data-driven culture across the organization.About the Role:As a Staff Data Scientist on the Core Product Analytics team, you will work hand-in-hand with Product, Engineering, and Design teams to extract insights that influence Quizlet’s product strategy. Your responsibilities will include designing experiments, developing analytical frameworks, and defining key performance metrics that evaluate success and drive product advancement.This position is tailored for a data scientist who excels at converting complex data into straightforward, actionable insights. You will manage comprehensive analytics for core product domains—guiding roadmaps, executing A/B tests, and ensuring that all major product decisions are supported by robust evidence.We are pleased to offer this onsite position in our San Francisco office. To promote team collaboration, employees are expected to be in the office at least three days a week: Monday, Wednesday, and Thursday, or as directed by your manager. We believe that this arrangement enhances work efficiency, fosters teamwork, and supports professional growth within the organization.

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.

At Discord, we are proud to be the communication platform of choice for over 200 million users every month, primarily for one exhilarating reason: gaming. An impressive 90% of our users engage in gaming, contributing to a staggering 1.5 billion hours spent playing a diverse array of video games on our platform monthly. As we look towards the future of gaming, Discord is committed to enhancing the experience of connecting and enjoying time together, whether before, during, or after gaming sessions.As a key member of our Data Science & Analytics team, your role as a Senior Data Scientist will be pivotal in advancing Discord's mission to foster enjoyable interactions among users. With your extensive analytical expertise and product insight, you will tackle a wide range of intricate challenges—from strategic analyses to dashboard creation and experimentation design. If you are enthusiastic about utilizing data to drive impact and thrive in a collaborative environment, we encourage you to explore this opportunity further!

Join Mixpanel as a Data Scientist and contribute to our mission of helping businesses make data-driven decisions. In this role, you will analyze complex datasets, develop predictive models, and provide actionable insights to enhance our product offerings.

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.

About Our TeamAt OpenAI, our Applied team is at the forefront of integrating cutting-edge AI technologies into the daily lives of consumers and businesses worldwide. We work collaboratively across research, engineering, design, and business domains to transform innovative AI advancements into significant real-world applications. Our team has been instrumental in the successful launch of products like ChatGPT, API, and Sora. We create tools that empower developers, enhance business efficiency, and promote individual learning and creativity. As AI technologies evolve, our commitment is to ensure that our products remain safe, accessible, and beneficial for everyone.About the PositionWe are seeking a Data Scientist to join our Applied Product team, where you will play a vital role in fostering a data-driven product development culture for our consumer and enterprise offerings. Your contributions will be crucial as our products serve millions globally. You will help align research with product development to create measurable impacts for users and businesses alike.In this position, you will define key performance metrics, design and analyze A/B tests, and create comprehensive dashboards that empower teams across the organization to derive insights from product data. Most importantly, you will be an integral part of our product development team.This role is primarily based in San Francisco, CA, or Seattle, WA, operating under a hybrid work model, allowing three days in the office per week. We also provide relocation assistance for new hires.Key Responsibilities:Collaborate closely with the product development team to identify opportunities for product enhancement and growth.Design and interpret A/B tests to evaluate the effects of changes in models and user experience on our products.Foster a data-driven culture by defining and operationalizing metrics at the feature, product, and company levels.Create and promote dashboards and reports that enable the team and organization to address product data inquiries independently.Ideal Candidate Profile:5+ years of experience in a quantitative role, adept at navigating ambiguous environments, ideally with a focus on product analytics.Strong proficiency in statistical analysis and experience with data visualization tools.Excellent communication skills to convey complex data insights to diverse audiences.A passion for AI and its applications in real-world scenarios.

About AirwallexAirwallex stands as the premier unified payments and financial platform designed for global enterprises. Our unique blend of proprietary infrastructure and advanced software equips over 200,000 businesses worldwide—including renowned names such as Brex, Rippling, Navan, Qantas, and SHEIN—with seamlessly integrated solutions for managing everything from business accounts and payments to spend management and treasury functions, all on a vast global scale.Founded in Melbourne, we proudly employ over 2,000 of the brightest minds in technology, spread across 26 offices worldwide. With a valuation of US$8 billion and support from top-tier investors like T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of shaping the future of the global payments and financial landscape. If you're eager to undertake the most ambitious work of your career, we invite you to join our dynamic team.Attributes We ValueWe seek innovators with a builder's mentality who aspire to create meaningful impact, accelerate their learning, and assume true ownership of their work. You will bring a wealth of relevant expertise, sharp analytical thinking, and a passion for our mission and operating principles. Your speed in decision-making is balanced by sound judgment and curiosity, allowing you to explore deeply and make choices based on foundational principles.You possess a humble, collaborative spirit; you can transform innovative ideas into tangible products and effectively execute projects from start to finish. By leveraging AI, you work smarter and expedite problem-solving processes. Here, you will face intricate, high-impact challenges alongside exceptional colleagues and advance your career as we reimagine the future of global banking. If this resonates with you, let's collaborate to shape what comes next.We are in search of an accomplished Staff Data Scientist to take the technical lead on our Growth Analytics team. In this role, you will collaborate with Growth, Sales, Marketing, and Product teams to uncover opportunities, refine strategies, and drive scalable growth through data analytics.What You'll DoAct as the technical collaborator with Growth, Marketing, Sales, and Data Science leaders to define and execute Airwallex’s growth strategy.Lead and mentor your team in employing diverse data science methodologies—root-cause analysis, statistical modeling, and experimentation—to highlight opportunities and foster product-led growth (acquisition, activation, retention, reactivation).Develop insight-driven approaches to enhance decision-making and inform strategy.

Varo is revolutionizing banking with an all-digital, mission-driven approach. As an FDIC-insured institution, we are dedicated to serving our customers' modern financial needs.ABOUT OUR PRODUCT TEAMOur product team is the heart of Varo, shaping the app experiences that our customers rely on every day. We are committed to delivering innovative solutions that address real-life challenges.We value understanding our customers' perspectives and stepping outside our office walls. We embody the “glue” metaphor in product management, fostering collaboration across teams to leverage both qualitative and quantitative data. We actively seek feedback and strive for continuous improvement, maintaining a light-hearted atmosphere.ABOUT THE SENIOR PRODUCT MANAGER, DATA ROLEWe are on the lookout for a Senior Product Manager to spearhead our data analytics platform and reporting functionalities. In this role, you will drive strategic initiatives and enhancements to ensure that both technical and non-technical stakeholders are well-informed about the performance of our products, systems, and business operations. You will work collaboratively across various teams and oversee the complete development lifecycle from prioritization and discovery to launch and post-launch support.

Discover OktaOkta is recognized as the global leader in identity management. We empower individuals to securely leverage any technology across devices and applications. Our versatile products, including the Okta Platform and Auth0 Platform, ensure secure access, authentication, and automation, placing identity at the forefront of security and business growth.At Okta, we value diverse perspectives and experiences. We seek individuals who embrace continuous learning and can enrich our team with their unique backgrounds.Join us in creating a world where identity is yours.Join the Technology, Data, and Intelligence TeamAs the leading independent identity provider, Okta's Technology, Data, and Intelligence (TDI) organization is crucial in enabling our global workforce with the technology and systems that enhance productivity.The Staff Data Scientist RoleWe are on the lookout for a Staff Product Data Scientist to become an integral part of our Data & Insights team. This role will spearhead the strategy, development, and implementation of advanced analytics and machine learning solutions that drive data intelligence for Okta’s Product Management teams, revealing actionable insights into customer behavior, product usage, and growth opportunities to shape our product development strategy. You will outline the long-term roadmap for data science while collaborating closely with Okta’s diverse Product Management teams and executive leadership.Your Responsibilities IncludeStrategic Product Influence: Work closely with Product Managers and leadership to deliver insights that will shape product strategy and roadmaps, ensuring that decisions are data-driven.Advanced Analytics and Modeling: Design and implement statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to anticipate user behavior and identify growth opportunities.Insight Generation: Conduct extensive exploratory analyses on large and complex datasets to identify key drivers of user engagement and uncover opportunities for significant product enhancements.Collaboration with Data Ecosystem: Partner with data engineering, analytics engineering, and data analysts to refine and enhance the data ecosystem.

About Cantina:Cantina Labs is at the forefront of social AI innovation, crafting a collection of cutting-edge real-time models that redefine expression, personality, and realism. Our mission is to breathe life into characters, revolutionizing storytelling, connection, and creativity. Cantina, our flagship social AI platform, marks the beginning of an exciting journey.If you share our passion for harnessing AI's transformative power in human creativity and social engagement, we invite you to join us in shaping the future!About the Role:As a Data Scientist at Cantina, you will be a pivotal member of our data team, establishing the standards for data science practices within the organization. Collaborating closely with product, marketing, and engineering teams, you will play a key role in defining product success, developing models, and generating insights that guide product strategy. Your contributions will enable the entire company to leverage data effectively.What You’ll Do:Collaborate with product managers, marketers, engineers, and designers to establish success metrics and drive our product and growth strategies.Design and evaluate A/B tests and experiments to inform product and growth decisions.Create and manage dashboards, reporting pipelines, and monitoring tools that convert product data into actionable insights.Analyze user behavior and utilize findings to inspire product innovation.Promote a data-driven culture across product and leadership teams.What You’ll Bring:A minimum of 5 years of experience in data science, product analytics, or a related quantitative field.Expertise in SQL and hands-on experience with data warehouses (e.g., Redshift, Snowflake, BigQuery) and tools like dbt or Airflow.Proficiency in Python for data analysis and machine learning; experience with Hex is an advantage.A talent for transforming ambiguous questions into structured analyses with clear insights.Strong communication skills and the ability to influence decisions among both technical and non-technical stakeholders.

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.

Join fal as a Senior Data Scientist specializing in Product Intelligence, where you will design the analytical architecture that drives our growth. Your expertise will encompass the entire developer journey, from initial acquisition to sustained expansion. You will transform raw behavioral and system signals into actionable metrics and insights that guide our product strategy and market approach.This strategic position allows you to collaborate closely with teams in Product, Engineering, and Marketing. You will not only conduct domain-specific analyses but also take ownership of the foundational data systems, standards, and experimentation frameworks that provide essential insights across the company.