Data Scientist at Mixpanel | San Francisco

Join Scribd Inc., a leading digital library and subscription service, as a Data Scientist II. In this role, you will leverage data analytics to drive insights and support data-driven decision making across the organization. Collaborate with cross-functional teams to implement machine learning models and enhance our user experience.

About Scribd:At Scribd Inc. (pronounced “scribbed”), our mission is to ignite human curiosity. We invite you to join our team as we craft a landscape rich with stories and knowledge, democratizing the sharing of ideas and information while empowering collective expertise through our suite of products: Everand, Scribd, Slideshare, and Fable.This is an exciting opportunity within our organization, as we support a culture that encourages authenticity and boldness; where thoughtful debate leads to commitment, and where every team member is empowered to take impactful actions focused on customer satisfaction.We embrace a flexible workplace structure that enhances individual adaptability while fostering community connections. Through our Scribd Flex initiative, employees, in collaboration with their managers, can determine a work style that best suits their personal needs. A key aspect of Scribd Flex is our emphasis on intentional in-person moments to nurture collaboration, culture, and connection, making occasional in-office attendance essential for all employees, regardless of their location.What we seek in our new team members is a demonstration of “GRIT.” Defined as the convergence of passion and perseverance toward long-term goals, we are inspired by what this can unlock within our workforce. Each employee is encouraged to adopt a GRIT-focused approach to their responsibilities, which encompasses setting and achieving Goals, delivering Results, contributing Innovative ideas and solutions, and fostering a positive impact on the broader Team through collaboration and attitude.About Our TeamThe Growth Platform team at Scribd is dedicated to empowering marketers, lifecycle teams, and partner channels by providing MarTech solutions that enhance efficiency, data-driven decisions, and scalable user acquisition for our brands including Scribd, Everand, SlideShare, and Fable.Our focus lies in developing and maintaining systems that facilitate campaign execution, optimize landing pages, manage tracking and attribution, and integrate third-party tools for cross-channel marketing and analytics. We prioritize scalability, performance, and reliability, ensuring that our partners are equipped with the necessary tools to drive user growth. Collaboration, pragmatic problem-solving, and a commitment to excellence are the cornerstones of our team's values.

About The Company:Scribd Inc. (pronounced “scribbed”) is dedicated to igniting human curiosity. Join our dynamic team as we craft a universe filled with stories and knowledge, democratizing the flow of ideas and information, while empowering collective expertise through our innovative products: Everand, Scribd, Slideshare, and Fable.We foster a culture where employees can be authentic and bold, engaging in open debates and committing to decisions as we embrace the unexpected. Every team member is encouraged to take initiative, focusing on our customers’ needs.At Scribd, we value a harmonious blend of individual flexibility and community connectivity. Through our flexible work benefit, Scribd Flex, employees can collaborate with their managers to determine a work style that best suits their individual requirements. A fundamental aspect of Scribd Flex is our commitment to intentionally scheduled in-person gatherings to enhance collaboration, culture, and connection. Therefore, occasional in-person attendance is required for all Scribd Inc. employees, regardless of their remote status.We seek individuals who embody “GRIT”—the synergy of passion and perseverance towards long-term objectives. Our employees are inspired to adopt a GRIT-driven approach to their work, which translates into setting and achieving Goals, delivering Results, contributing Innovative ideas, and fostering a positive Team environment through collaboration.About the TeamThe Data & Analytics team strives to ensure that the entire organization comprehends business performance and trends, empowering all teams to make informed decisions based on data insights.The Growth organization is dedicated to driving sustainable subscriber and user growth across Scribd’s ecosystem, including Scribd, Everand, Slideshare, and Fable. Our efforts are focused on enhancing user discovery, sign-up processes, activation, and retention of value across our products, emphasizing data quality, measurement, and experimentation.

At Scribd, Inc., we are dedicated to enhancing human understanding through our innovative products — Scribd®, Slideshare®, Everand™, and Fable — which empower billions of users worldwide to transform access into insight, application, and expertise.Our CultureWe foster an environment where authenticity and boldness thrive. Our culture encourages open debate and commitment, allowing us to embrace unexpected challenges while prioritizing our customers. We believe that the best outcomes emerge when individual flexibility is harmonized with strong community connections.Scribd Flex offers our employees the freedom to choose their workstyle and location to optimize performance, while also committing to essential in-person interactions that enhance collaboration and strengthen our culture. All employees are expected to attend occasional in-person meetings, regardless of their location.What do we seek in our new team members? At Scribd, Inc., we value "GRIT," which embodies the blend of passion and perseverance toward long-term goals. This mindset guides our work ethic: setting and achieving Goals, delivering impactful Results, contributing Innovative ideas, and fostering a collaborative Team environment.About the Data Platform Team:Our Data Platform team is pivotal in creating and managing the analytical data models and transformation layers that generate reliable metrics, experimentation, machine learning, and product insights for Scribd, Everand, and Slideshare. Currently, we are investing in modernizing our data architecture to ensure that all teams can rely on well-structured and governed data.You will be part of a data engineering team tackling intricate challenges across our three brands, which serve over 200 million monthly visitors and 2 million paying subscribers. This role presents a significant opportunity to influence the evolution of Scribd’s data platform and elevate our engineering practices to world-class standards.Your RoleAs a Staff Data Engineer, you will serve as both a technical expert and a strategic leader. You will lead the design of core data models and...

About Scribd:At Scribd Inc. (pronounced “scribbed”), we are dedicated to igniting human curiosity and enriching lives through a diverse tapestry of stories and knowledge. Join us in our mission to democratize the sharing of ideas and information while empowering collective expertise through our innovative products: Everand, Scribd, Slideshare, and Fable.We foster a work culture where authenticity and boldness thrive; a place where we engage in meaningful discussions and embrace the unexpected as we prioritize our customers' needs.Our flexible work arrangement, Scribd Flex, allows employees to collaborate with their managers to establish a daily work style that meets their individual preferences. This initiative highlights our commitment to in-person interactions that build teamwork and community, requiring occasional attendance for all Scribd employees, regardless of location.What do we seek in our new team members? We value “GRIT” — the fusion of passion and perseverance towards achieving long-term goals. At Scribd, we encourage everyone to embody a GRIT-ty mindset in their work. This means setting and achieving Goals, delivering Results, generating Innovative ideas, and fostering positive Team dynamics through collaboration and attitude.

Scribd, Inc. is known for products like Scribd®, Slideshare®, Everand™, and Fable, all designed to deepen human understanding. The company serves a global audience, aiming to move people beyond simple access to information and toward real insight and mastery. Culture and Work Style The team values authenticity and bold thinking. Employees are encouraged to speak up, participate in meaningful discussions, and adapt quickly to new challenges. Initiative and a strong focus on customer needs are central to the way work gets done. Scribd Flex gives employees flexibility in choosing how and where they work, while still expecting everyone to participate in some in-person meetings to support collaboration and company culture. Attendance at these occasional gatherings is required, no matter where employees are based. The company looks for people who demonstrate "GRIT": passion and perseverance in pursuit of long-term goals. This approach shapes the way teams set ambitious objectives, deliver results, find innovative solutions, and work together. Role Overview Scribd is evolving from a large document repository to a platform for active knowledge development. With 300 million documents and more than 250 million users each month, the company is focused on helping people move from finding information to truly understanding it. The Lead Product Analyst works closely with Product Managers, Designers, and Engineers to support this transformation. Key responsibilities include defining success metrics, identifying and reducing risks in product initiatives, and turning user behavior data into actionable product strategies. Collaboration and Impact This role sits at the intersection of product strategy, experimentation, and analytics. The Lead Product Analyst partners with teams across Product, Engineering, Design, and Machine Learning. The goal is to ensure that new features and experiences are shaped by data-driven insights and deliver real value to users, especially as the company incorporates machine learning and large language models into its products.

About Our Organization:Welcome to Scribd Inc. (pronounced “scribbed”), where our passion lies in igniting human curiosity through storytelling and knowledge-sharing. We invite you to join our dynamic team as we work towards democratizing the exchange of ideas and empowering collective expertise with our innovative products: Everand, Scribd, Slideshare, and Fable.This job posting represents an established opportunity within our organization.At Scribd, we cultivate a culture where authenticity and boldness thrive. We value open discussions and commitment as we embrace the unexpected, empowering every employee to take initiative while keeping our customers at the forefront.We believe in a balanced approach to work structure, merging individual flexibility with community engagement. Our Scribd Flex program allows employees, in collaboration with their managers, to choose work styles that best suit their needs. This initiative emphasizes the importance of intentional in-person gatherings to foster collaboration and connection. Thus, occasional in-person attendance is a requirement for all Scribd employees, regardless of their remote status.What do we seek in our new teammates? We prioritize candidates who embody “GRIT” – a blend of passion and perseverance towards long-term goals. At Scribd, we encourage a GRIT-driven approach to work, where the ability to set and achieve Goals, deliver Results, contribute Innovative ideas, and positively impact the Team through collaboration is essential.About the Team:Our ML Data Engineering team is at the forefront of metadata extraction, enrichment, and content understanding across all Scribd products. We manage vast volumes of documents and images, ensuring high-quality metadata that enhances content discovery and builds trust among millions of users around the globe.Our systems function on a massive scale, incorporating diverse datasets like user-generated content, ebooks, audiobooks, and more. We operate at the convergence of machine learning, data engineering, and distributed systems, working closely with applied research and product teams to deploy scalable ML solutions.

Scribd, Inc. is dedicated to enhancing human understanding. Our diverse range of products — Scribd®, Slideshare®, Everand™, and Fable — empower billions globally to transform access into meaningful insight, practical application, and deep expertise.Culture at Scribd, Inc.We foster a culture that encourages authenticity and boldness, where healthy debates lead to commitment, and every employee is empowered to act with a customer-first mindset.We believe maximum productivity stems from a balance of personal flexibility and community engagement. Scribd Flex allows employees to select their optimal work style and location while committing to intentional in-person interactions that enhance collaboration and cultural bonds. All employees at Scribd, Inc. are required to attend occasional in-person meetings, regardless of their location.What are we looking for in potential team members? At Scribd, Inc., we value “GRIT,” defined as the blend of passion and perseverance towards long-term objectives. This mindset shapes our work environment by setting and achieving Goals, delivering impactful Results, fostering Innovative solutions, and enhancing our collaborative Team spirit.This posting reflects a confirmed open position within our organization.About the Team and RoleScribd is transitioning from a leading document library into a dynamic platform for active knowledge creation. With a collection of 300 million human-generated documents and over 250 million monthly visitors, our future focus is on facilitating users in transforming mere information retrieval into comprehensive, actionable understanding. As a Senior Product Manager, you will spearhead this innovative zero-to-one transformation, utilizing machine learning (ML) and large language models (LLMs) to develop seamless and reliable workflows.You’ll collaborate closely with Design, Engineering, Machine Learning, and Data Science teams to translate cutting-edge technical capabilities into user-friendly experiences. We seek a product leader with a refined sense of craftsmanship who can navigate uncertainty with clarity. Are you ready to shape the future of knowledge discovery and assist millions in turning data into understanding?

At Scribd, Inc., we are dedicated to enhancing human comprehension. Our diverse range of products—including Scribd®, Slideshare®, Everand™, and Fable—empowers billions around the globe to transition from mere access to profound insight, practical application, and mastery.Our CultureWe foster an environment where authenticity and boldness are celebrated. Here, we engage in constructive debates and make commitments, embracing the unexpected as we prioritize our customers’ needs.We believe that optimal performance stems from a balance between individual flexibility and community connection. With Scribd Flex, employees can select their preferred work styles and locations, fostering collaboration through intentional in-person gatherings. All employees are required to attend occasional in-person meetings, regardless of their remote status.We seek team members who embody “GRIT”—a blend of passion and perseverance towards long-term goals. This mindset shapes our approach to work: establishing and achieving Goals, delivering Results, innovating with fresh ideas, and contributing positively to our Team dynamics.Team Overview:Our ML Data Engineering team drives metadata extraction, enhancement, and content comprehension across all Scribd brands. We handle hundreds of millions of documents and billions of images, providing high-quality metadata that enhances content discovery and fosters trust among millions of users worldwide.Operating at an impressive scale, we support a variety of data types, including user-generated content, ebooks, and audiobooks. Our work intersects machine learning, data engineering, and distributed systems, collaborating with product and applied research teams to implement scalable ML and LLM solutions in production.Position Summary:We are on the lookout for a Software Engineer II with extensive experience in developing event-driven, distributed, and scalable systems using Python. In this capacity, you will design and optimize large-scale data and service pipelines on AWS, crucial for Scribd’s content enrichment and metadata systems. You will collaborate closely with cross-functional teams to create reliable and efficient solutions.

Join Multiply Labs as a Scientist IIAt Multiply Labs, an innovative startup located in the heart of San Francisco, California, we are on a mission to revolutionize the accessibility of advanced life-saving therapies. Backed by renowned investors such as Casdin Capital, Lux Capital, and Y Combinator, our goal is to develop the most sophisticated robotic systems in the world to automate and enhance the manufacturing of cell therapies.Our state-of-the-art robotic solutions empower biopharma companies to produce cell therapies at scale, minimizing regulatory hurdles and costs that traditionally exceed $1 million per patient. By leveraging automation, we aim to make these groundbreaking treatments more affordable and accessible to those in need.To witness our technology in action, visit us at www.multiplylabs.com and connect with us on LinkedIn.Position OverviewWe are looking for a passionate Scientist II to play a vital role in advancing and validating our automated processes. This position will primarily entail hands-on laboratory work, where you will enhance the efficiency, accuracy, and reliability of our robotic systems, gaining an in-depth understanding of our innovative technology. Additionally, you will serve as a key representative of Multiply Labs during client system deployments, collaborating directly with customers to ensure the seamless integration and optimal performance of our robotic solutions, thus contributing significantly to their success.

About Us:At Scribd Inc. (pronounced “scribbed”), we are dedicated to igniting human curiosity. Join our innovative team as we craft a universe of stories and knowledge, democratizing the exchange of ideas and empowering collective expertise through our diverse products: Everand, Scribd, Slideshare, and Fable.This job posting represents an open and approved position within our organization, reflecting our commitment to growth and excellence.We cultivate a workplace culture where authenticity and boldness thrive, where we engage in robust discussions and embrace unexpected challenges, and where every employee is empowered to take initiative in prioritizing customer satisfaction.Our flexible work policy, Scribd Flex, allows employees to customize their work environment in collaboration with their managers, promoting a balance between individual flexibility and community connections. We emphasize the importance of intentional in-person interactions to foster collaboration, culture, and connection. Therefore, occasional in-person attendance is required for all Scribd Inc. employees, regardless of their location.What do we seek in our new team members? We value “GRIT”—the combination of passion and perseverance towards long-term goals. At Scribd Inc., we believe in the transformative potential of this mindset and encourage our employees to embody a GRIT-ty approach in their work. In practical terms, GRIT stands for setting and achieving strong Goals, delivering tangible Results, contributing Innovative ideas, and positively influencing the broader Team through collaboration and a positive attitude.About the Role and TeamEnhance the core experience for over 10M daily readers. Join the team responsible for Scribd's primary reading platform and significantly influence how millions of users engage with our extensive collection of over 300,000 documents.Innovate at the crossroads of product and AI. Collaborate closely with Product, Design, and AI/ML teams to rapidly develop and implement experiments that boost engagement and comprehension on the reading interface.Develop new creation experiences from inception to launch. Leverage your skills to conceptualize and build innovative features that enhance user creativity and interaction.

About SemgrepSemgrep stands at the forefront of code security, empowering developers to innovate seamlessly. Our platform enables teams to identify, flag, and resolve genuine security issues before deployment, supported by an adaptive security system that evolves with their development process. Semgrep not only safeguards code in real-time but also offers essential guardrails that facilitate rapid development without compromising security. Trusted by top organizations like Snowflake, Dropbox, and Figma, we are recognized by Gartner for excellence in Application Security Testing. To learn more about our mission, visit semgrep.dev.Founded in San Francisco and backed by prominent investors including Menlo Ventures and Sequoia Capital, Semgrep is dedicated to continuous improvement, ensuring that our AI-driven system minimizes false positives and prioritizes actionable vulnerabilities. Experience the future of secure coding with us.

Join SoFi, a leading personal finance company, as a Data Scientist where you will leverage data to drive strategic decisions and enhance user experiences. In this role, you will analyze complex datasets, build predictive models, and collaborate with cross-functional teams to propel our innovative solutions forward.

Join Mercor as a Data ScientistAt Mercor, we stand at the forefront of labor markets and artificial intelligence research. We collaborate with top-tier AI laboratories and businesses to infuse the human intelligence crucial for the evolution of AI.Our expansive talent network empowers frontier AI models, mirroring the way educators impart knowledge: sharing insights and experiences that transcend mere coding. Currently, our network boasts over 30,000 experts generating more than $2 million daily.We are pioneering a new work paradigm where specialized expertise drives AI progress. To realize this vision, we seek a dynamic, fast-paced, and dedicated team. You will collaborate with leading researchers, operators, and AI companies, playing a pivotal role in the systems that are reshaping society.As a profitable Series C company, Mercor is valued at $10 billion and operates from our new headquarters in San Francisco with an in-office work schedule five days a week.Your RoleIn your first year, you will implement analyses and experiments that enhance key product metrics, including match quality, time-to-hire, candidate experience, and revenue. Your responsibilities will include:Establishing north-star and feature-specific metrics for our ranking systems, interview analytics, and payout frameworks.Designing and executing A/B tests and quasi-experiments, translating results into product decisions within the same week.Creating source-of-truth dashboards and streamlined data models to enable teams to self-serve answers.Collaborating with engineers to instrument events, enhancing data quality and latency from ingestion to insights.Rapidly prototyping models (from baseline models to gradient boosting) to optimize matching and scoring.Assisting in the evaluation of LLM-powered agents through the design of rubrics, human-in-the-loop studies, and guardrail mechanisms.What Makes You a Great FitYou possess strong foundational skills in statistics, SQL, and Python, alongside projects you are eager to showcase. You adapt swiftly, frame inquiries, test hypotheses, and deliver results within a day, valuing clarity in communication as much as statistical significance. A keen interest in LLM evaluation, retrieval, and ranking is a plus; you will learn alongside professionals from renowned firms such as Jane Street, Citadel, Databricks, and Stripe.

Superhuman offers an engaging hybrid working model for this role. This flexible approach provides team members with a balance of focused time and in-person collaboration, fostering trust, innovation, and a vibrant team culture. Team members for this position must reside in the San Francisco Bay Area. About SuperhumanSuperhuman, now part of Grammarly, is an AI productivity platform dedicated to unlocking extraordinary potential in everyone. Our suite of apps and agents seamlessly integrates AI into over 1 million applications and websites, including Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that comprehends context and provides automatic assistance. Founded in 2009, Superhuman empowers more than 40 million individuals, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and concentrate on what truly matters. Discover more at superhuman.com and explore our values here.The OpportunityTo achieve our ambitious goals, we are seeking skilled Data Scientists to join our Product and Growth Data Science teams. At Superhuman, data teams are regarded as trusted experts who reveal new insights to shape marketing, product, and growth strategies that drive significant outcomes across the organization. We have access to large datasets and are looking for individuals with exceptional technical and analytical abilities who can dissect complex business challenges and offer solutions that deliver high visibility and impactful results for the company.Growth Data Scientists collaborate closely with product, engineering, growth, and/or lifecycle marketing teams. They are tasked with designing and executing product experiments, as well as performing intricate analyses to guide product strategy through advanced analytics and machine learning. The ideal candidate will possess a proven record of delivering significant analytical projects within the Growth domain and working alongside cross-functional colleagues to influence decision-making.Product Data Scientists are responsible for assessing the quality of the Superhuman products, ensuring that our offerings are not only innovative but also user-friendly and effective.

Join Mindlance as a Data Scientist, where you will leverage data to drive insights and support decision-making processes. You will be responsible for analyzing complex datasets, developing predictive models, and collaborating with cross-functional teams to enhance business strategies.

Join Metriport as a Data Scientist and be at the forefront of data-driven decision making! In this role, you will leverage advanced analytics and machine learning techniques to derive insights from complex datasets, enhancing our product offerings and driving strategic initiatives.

About Scribd:At Scribd Inc. (pronounced “scribbed”), we are dedicated to igniting human curiosity and fostering a global community of knowledge-sharing. Our innovative suite of products—Everand, Scribd, Slideshare, and Fable—empowers users to explore, exchange, and enrich their lives through stories and information.We embrace a culture of authenticity and courage, where every team member is encouraged to express their ideas, engage in meaningful discussions, and act on their insights to prioritize customer satisfaction.Our flexible work model, Scribd Flex, allows employees to tailor their work environment to suit individual preferences while emphasizing the importance of collaborative in-person interactions to strengthen our community.At Scribd, we value GRIT: the blend of passion and perseverance that drives our long-term goals. We are looking for team members who exemplify this trait by setting ambitious Goals, delivering exceptional Results, contributing Innovative solutions, and positively impacting the Team dynamic.About the Role:As a Senior Customer Operations Data Analyst, you will be instrumental in leveraging customer support data—primarily from tickets and user feedback—to derive actionable insights that enhance decision-making and improve user experience. Collaborating with cross-functional teams, you will identify the root causes of customer support challenges and discover new opportunities for improvement. The ideal candidate is a proactive self-starter who thrives in dynamic environments and is passionate about using data to enhance the customer journey.

About Scribd:At Scribd Inc., we are driven by a singular mission: to ignite human curiosity. Join our dynamic team as we craft a universe filled with stories and knowledge, democratizing the sharing of ideas and fostering collective intelligence through our innovative products: Everand, Scribd, Slideshare, and Fable. This job posting represents an actively approved role within our organization.We cultivate a culture where authenticity and boldness thrive; where we encourage debate and commitment as we navigate the twists and turns of creativity; and where every team member is empowered to take initiative, always prioritizing our customers.Our workplace structure emphasizes a harmonious blend of individual flexibility and community engagement. Our unique Scribd Flex program allows employees to partner with their managers to choose a work style that best aligns with their personal needs. A cornerstone of Scribd Flex is the emphasis on intentional in-person interactions that foster collaboration, culture, and connection. Consequently, occasional in-person attendance is expected from all Scribd employees, regardless of their location.What do we seek in our new team members? We value “GRIT”—the powerful intersection of passion and perseverance towards achieving long-term goals. We believe in the potential this unlocks and encourage every employee to approach their work with a GRIT-ty mindset. This means we're looking for individuals who can set and reach Goals, deliver Results in their responsibilities, present Innovative solutions, and positively influence the larger Team through collaboration and a positive attitude.About the Data Platform Team:The Data Platform team at Scribd is at the forefront of building data pipelines, storage architectures, and development tools that empower analytics, experimentation, machine learning, and product features across Scribd, Everand, and Slideshare. We are currently engaged in a multi-year initiative to modernize our data architecture, ensuring fully governed and well-modeled data that all teams can rely on.At Scribd, we leverage deep data insights to drive every facet of our business—from product innovation and experimentation to comprehending subscriber engagement and key metrics. You will be joining a dedicated data engineering team tackling complex challenges and making a significant impact across our organization.