Staff Data Engineer

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 a…

Thank you for your interest in joining Uncountable Engineering!Uncountable is on the lookout for recent graduates eager to embark on a career in data engineering, focusing on the management of customer datasets. Our mission is to transform industrial research and development. We are in search of driven software engineers who can contribute to the creation of tools designed to expedite the development of new chemicals and materials.Your key responsibilities will include structuring and ingesting customer data into the Uncountable Web Platform, where scientists input and analyze their experimental data. In this role, you will (1) manipulate, transform, and upload R&D data using Python scripts; (2) establish ETL pipelines between Uncountable and customer data warehouses; (3) devise innovative solutions for users to import and export their data. This position requires a creative, analytical thinker with excellent cross-functional communication skills and the capability to analyze large datasets, identifying necessary steps to clean, process, and upload the data onto our platform.

About the TeamJoin the Business Data Science team at OpenAI, where we leverage data and analytics to enhance business performance, stimulate growth, and cultivate substantial partnerships. Our mission is to ensure the successful and impactful advancement of OpenAI initiatives, maximizing the benefits of AGI for all of humanity. We collaborate closely with Sales (GTM), Marketing, Partnerships, Support, Finance, Product, and Growth teams.About the RoleAs a vital member of our Business Data Science team, you will play a crucial role in fostering a data-driven culture at OpenAI, focused on generating insights, informing decision-making, and shaping strategy. Your primary focus will be on enhancing customer success with our business products, including ChatGPT Team, ChatGPT Enterprise, and API. You will engage in projects that identify opportunities for customer lifecycle interventions, target audiences for new feature launches, and assess the effectiveness of communications and events intended to boost ongoing product engagement.This position is based in San Francisco, CA, utilizing a hybrid work model of three days per week in the office, with relocation assistance available for new hires.Key ResponsibilitiesWork closely with our Customer Success organization to explore innovative methods for enhancing customer adoption and engagement with our business products.Define key performance indicators, conduct experiments, and analyze data to evaluate the effectiveness of our initiatives in driving adoption and engagement.Proactively identify insights and opportunities that can contribute to engagement and business growth.Develop tools and systems for stakeholders to access routine data and insights independently, allowing for more impactful analyses.Become proficient in OpenAI’s data and systems. Collaborate with Data Engineering, Finance, and additional business teams to independently source all foundational data and extract valuable insights.Partner with fellow data scientists across the organization to share knowledge and continuously synthesize learnings.QualificationsA minimum of 7 years of experience in Data Science roles within fast-paced, results-oriented organizations.Proficiency in statistical analysis and causal inference, with practical application in data-driven strategies.

Join parafin as a Finance Data Lead, where you will play a pivotal role in shaping data strategies that drive financial decision-making. You will collaborate with cross-functional teams to enhance data accuracy, integrity, and accessibility, ensuring our financial models are grounded in reliable data.Your expertise will guide the implementation of data analytics tools and methodologies, helping us to extract valuable insights from our financial datasets. If you are passionate about data management and thrive in a fast-paced environment, this is the opportunity for you!

Join our dynamic team at 360IT Professionals as a Business Data Analyst. In this pivotal role, you will analyze complex data sets and provide actionable insights to drive business decisions. You will collaborate closely with cross-functional teams to enhance operational efficiency and support strategic initiatives.

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.

As a Lead Data Analyst at Collective Health, you will play a pivotal role in driving data-driven decision-making across the organization. Your expertise will influence strategic initiatives and enhance our offerings, ensuring that we deliver exceptional healthcare solutions. You will lead a team of analysts, collaborate with cross-functional teams, and utilize advanced analytical tools to derive actionable insights from complex datasets.

Role Overview Grow Therapy is seeking a Staff Data Analyst in San Francisco. This role centers on turning complex data into clear, practical insights that support the company’s mission. Collaboration with cross-functional teams is a key part of the work, as is translating trends into recommendations that help shape decisions. What You Will Do Collect and interpret large, complex datasets from multiple sources Analyze trends to uncover opportunities and risks Create detailed reports that summarize findings for a range of stakeholders Present data-driven recommendations to teams and leadership Who We’re Looking For This position is a fit for someone who enjoys working with data and wants their work to have a real impact. Curiosity, clear communication, and a strong analytical mindset are important here.

Role Overview Mercury is hiring a Senior Data Science Manager to guide key data initiatives as the company continues to grow. This role leads a skilled team of data scientists, applying advanced analytics to uncover insights that shape strategy and improve how the business operates. What You Will Do Lead and mentor a team of data scientists Use analytics to inform strategic decisions and drive operational improvements Work with teams across the company to find ways data can strengthen products and services Location This position is open to candidates based in San Francisco, CA; New York, NY; Portland, OR; or remote within Canada or the United States.

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.

Join Us in Transforming Healthcare AccessibilityAt Assort Health, we are dedicated to revolutionizing healthcare to ensure it is accessible, seamless, and efficient for everyone, anywhere, at any time. Our mission is to foster effortless connections between patients and providers through advanced AI technologies, creating a tailored experience that addresses the complexities of healthcare.As a leading patient experience platform powered by specialty-specific AI, Assort Health eliminates the frustrations of lengthy hold times and communication barriers, enabling patients to receive prompt care. Since our inception in 2023, we've successfully managed over 110 million patient interactions, significantly reducing average hold times from 11 minutes to just 1 minute. Our platform supports thousands of providers, boasting over 98% resolution rates and 99% scheduling accuracy. With an impressive 4.5/5 average patient satisfaction from over 52,000 reviews and a remarkable 20x revenue growth projected for 2025, we are rapidly expanding our impact across the healthcare industry.About the RoleWe are seeking a Founding Data Analytics Engineer to become our first dedicated data hire. In this crucial role, you will oversee all aspects of data analytics, including pipelines, dashboards, and ad-hoc analysis. Your work will directly support our Product, RevOps, Marketing, Finance, and Customer Success teams, while collaborating closely with Engineering and Operations Analysts to build a robust data infrastructure as we scale our operations.Key ResponsibilitiesDevelop and maintain analytics pipelines, data ponds, and schemas that serve as our source of truth.Monitor customer health, generate alerts, and conduct predictive analytics to assess churn risk.Label outcomes and evaluate datasets for our AI agents.Analyze agent funnel performance and prioritize initiatives in collaboration with a Conversation Designer.Create client-facing dashboards and quarterly business review reports using Omni/Looker.Set up experiments, develop new metrics, and make go/no-go decisions using Statsig.Implement ETL pipelines for third-party databases, including EHRs and CRMs.Design systems for long-term agent memory management.Ensure data quality, completeness, and uptime across all systems.And more — we welcome your ideas!

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!

Join Our Dynamic TeamAt Rox, we are dedicated to enabling individuals to excel in their roles.Our innovative platform empowers sales professionals with autonomous revenue agents to handle routine tasks, allowing them to concentrate on what they do best: selling. Just as coding agents transformed engineering, our revenue agents revolutionize customer interactions.We are pioneering a new approach to revenue management by developing the world’s first revenue operating system, integrating applications and context seamlessly. At Rox, humans transition into orchestrators while agents oversee the entire customer lifecycle.We proudly support Global 2000 leaders across sectors such as banking, hardware, construction, and sovereign AI, while also partnering with leading AI innovators like Ramp and Cognition.Our success is rooted in a steadfast belief in our mission, paired with an unwavering commitment to realize it.

Join Stripe as a Staff Data Analyst and leverage your analytical skills to help drive data-informed decisions across the organization. You'll collaborate with various teams to analyze complex datasets, providing insights that contribute to the improvement of our products and services.

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.

Unstructured is at the forefront of transforming how businesses harness the potential of unstructured data, encompassing formats like PDFs, HTML, Word documents, emails, and more for AI/ML workflows. Our open-source library, a trusted resource for over 60,000 companies, has been downloaded more than 61 million times, including nearly half of the Fortune 500. With backing from prominent investors such as Menlo Ventures, Databricks Ventures, Bain Capital, and IBM Ventures, we are just beginning our journey.We are developing the ultimate platform for file transformation and data orchestration, empowering enterprises to seamlessly connect any data with any model, ensuring speed, precision, and scalability.About the RoleWe are thrilled to welcome a Senior Business Development Representative (BDR) to our rapidly expanding sales team based in San Francisco. This role involves collaborating closely with Account Executives to cultivate a robust sales pipeline by qualifying incoming leads and executing strategic outbound initiatives across a defined set of accounts.This position presents an excellent opportunity for an individual looking to fast-track their sales career while gaining insights into the AI and data infrastructure landscape. You will engage with engineering and data leaders, support real sales opportunities, and develop the necessary skills to evolve into a full-cycle sales role over time.Hybrid Schedule: Tuesday through Thursday in the San Francisco office, with flexibility on Mondays and Fridays.What You'll Do- Manage and follow up on inbound leads from webinars, events, campaigns, and website inquiries to convert initial interest into a qualified sales pipeline.- Collaborate with the Marketing team to ensure prompt and thoughtful follow-up on campaign-driven leads and provide insights that enhance lead quality and conversion.- Support Account Executives by strategically prospecting into over 20 target accounts, generating qualified meetings and opportunities.- Implement multi-channel outbound campaigns through email, LinkedIn, and phone to engage prospective clients and create a sales pipeline.- Foster relationships with technical and business stakeholders within engineering, data, and AI teams through personalized outreach and account-based engagement.

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...

At Unstructured Technologies, we are pioneering the way businesses harness the potential of unstructured data, encompassing formats like PDFs, HTML, Word documents, emails, and more, to fuel AI/ML pipelines. Our acclaimed open-source library has seen over 61 million downloads and is the trusted choice of more than 60,000 companies, including nearly half of the Fortune 500. With the support of prominent investors such as Menlo Ventures, Databricks Ventures, Bain Capital, and IBM Ventures, our journey has only just begun.We are crafting the ultimate stack for file transformation and data orchestration, empowering enterprises to connect any data to any model with unmatched speed, precision, and scalability.About the RoleWe are thrilled to welcome a Senior Business Development Representative (BDR) to our dynamic sales team based in San Francisco. In this pivotal role, you will collaborate closely with Account Executives to generate a robust pipeline by qualifying inbound leads and executing strategic outbound initiatives targeting a focused set of accounts.This position is an excellent opportunity for individuals looking to fast-track their sales careers while gaining valuable insights into the AI and data infrastructure landscape. You will learn the intricacies of modern technical sales operations, engage with engineering and data leaders, support real sales efforts, and develop the skill set necessary to evolve into a full-cycle sales role over time.Work Schedule: Hybrid model with in-office presence required from Tuesday to Thursday, offering flexibility on Mondays and Fridays.Key Responsibilities- Manage and nurture inbound leads from webinars, events, campaigns, and website inquiries to convert initial interest into a qualified sales pipeline.- Collaborate with Marketing to ensure prompt and insightful follow-ups on campaign-driven leads, while offering feedback to enhance lead quality and conversion rates.- Assist Account Executives by strategically prospecting into over 20 target accounts, generating qualified meetings and opportunities.- Execute multi-channel outbound campaigns utilizing email, LinkedIn, and phone to engage new prospects and build pipeline.- Foster relationships with technical and business stakeholders across engineering, data, and AI teams through personalized outreach and account-based engagement.- Take ownership of developing target accounts through research, multi-threading, and consistent engagement.- Leverage modern sales and AI-powered tools (Apollo, LinkedIn Sales Navigator, Gong, etc.) to personalize outreach, enhance efficiency, and track engagement.- Maintain accurate CRM data in HubSpot while contributing valuable insights that refine pipeline generation and prospecting strategies.- Collaborate closely with Account Executives to advance opportunities and convert initial conversations into sales-qualified pipelines.- Innovate and test new outbound messaging, campaigns, and prospecting strategies.

Join us in making a difference! We’re hiring! At GoFundMe, we pride ourselves on being the world’s leading platform dedicated to empowering individuals and communities to support one another. By bringing together people and nonprofits, we facilitate a safe and easy way for individuals to seek and provide help, having collectively raised over $40 billion since our inception in 2010. We are in search of a talented Data Science Manager who will architect and spearhead the future of marketing data science at GoFundMe. This pivotal role involves developing and scaling applied data science and AI frameworks that enable our Marketing, Growth, and Finance teams to make informed, ROI-positive investment choices. You will function as both a leader and mentor within a skilled team of data scientists, driving innovation while ensuring high standards of delivery. Candidates for this role must be located in the San Francisco Bay Area, with an in-office presence required three times a week. Your Responsibilities: Establish a robust AI and data science infrastructure: Design scalable data pipelines, reusable modeling frameworks, and reliable experimentation platforms to support critical marketing and growth decisions. Lead comprehensive data science and AI initiatives: Oversee projects from initial requirements gathering through to feature engineering, modeling, validation, deployment, and ongoing monitoring. Set best practices: Advocate for standards in model governance, reproducibility, data quality, and system reliability, ensuring sustainable and trustworthy AI integration. Innovate in marketing science: Utilize advanced methodologies such as causal inference, uplift modeling, multi-touch attribution, and media mix modeling to derive insights and enhance spending effectiveness. Enhance forecasting and ROI modeling: Develop budget allocation frameworks and predictive models that inform long-term planning and marketing efficiency. Collaborate across departments: Partner with leaders from Marketing, Growth, Product, Engineering, and Finance to synchronize analytics initiatives with revenue objectives. Invest in talent development: Mentor and guide a high-performing team of data scientists, fostering a culture of technical excellence, curiosity, and practical innovation. Push the boundaries of applied AI in marketing: Assess emerging generative and predictive AI techniques for audience segmentation, creative optimization, personalization, and enhancing campaign efficiency.

About Juniper SquareJuniper Square is on a mission to democratize private markets by enhancing access to privately owned assets such as commercial real estate, private equity, and venture capital. With these assets representing a significant portion of the financial ecosystem, we are committed to digitizing these markets to foster efficiency, transparency, and wider accessibility. If you are passionate about leveraging technology to create a positive impact in the world, we invite you to join our values-driven organization.At Juniper Square, we embrace diverse work arrangements, offering opportunities for fully remote work or full-time office engagement. With a strong focus on digital-first operations, our teams collaborate seamlessly across 27 U.S. states, 2 Canadian provinces, India, Luxembourg, and England. We also maintain physical offices in San Francisco, New York City, Mumbai, and Bangalore for those who prefer an in-person work environment.Your RoleWe are looking for a Data Engineering Architect who will spearhead the evolution of our data engineering and analytics functions into a cutting-edge, scalable, and product-centric Data Platform organization. You will be responsible for defining the vision, architecture, operational model, and execution roadmap necessary to transition from traditional project-based data delivery to a self-service, reliable, governed, and analytics-ready data platform across the organization.This is a hands-on leadership position requiring a technical expert who will actively design systems, prototype solutions, review code, and guide teams through intricate challenges. You will be tasked with modernizing our data stack, establishing platform standards, implementing best practices for reliability and governance, and empowering teams to develop data products efficiently and securely.In addition to platform transformation, you will ensure that the data ecosystem provides high-quality analytics and actionable insights. You will architect solutions for data ingestion, processing, modeling, semantic layers, analytics, and AI/ML enablement, ensuring that data is trustworthy, accessible, secure, and high-performing.Collaboration with engineering leadership, product teams, analytics, and executive stakeholders will be vital to align technology strategy with business objectives, mentor engineers, and cultivate a data-driven culture. Success in this role goes beyond delivering a modern platform; it involves enhancing the team's capabilities and fostering an innovative environment.