Senior Geospatial Scientist at Matter Intelligence | San Francisco

About Matter IntelligenceWelcome to Matter, a pioneering company at the forefront of vision AI. We are developing an unprecedented sensor capable of perceiving molecular chemistry, temperature, and 3D structure, integrated with a Large World Model that serves as the most advanced intelligence engine for our physical environment. Our unique system not only captures visual data but also comprehends intricate details from a single pixel—what we refer to as Superintelligent Vision.Join a team with an impressive track record, having provided technologies for NASA/JPL's Mars missions, co-founding and spearheading infrastructure for OpenAI, and crafting state-of-the-art sensors for U.S. Defense. Our collective expertise is dedicated to creating the next generation of infrastructure for vision and intelligence in the physical realm.About the RoleWe are in search of a Senior Geospatial Scientist to spearhead the development of sophisticated algorithms and data pipelines that convert our ultraspectral imagery into actionable insights. This pivotal role merges remote sensing science, machine learning, and scalable cloud infrastructure, effectively transforming raw hyperspectral data into validated, production-ready data products.Your responsibilities will include designing and implementing physics-informed machine learning algorithms, constructing robust AWS-based processing pipelines, and ensuring the scientific integrity of each output—from the sensor physics to the final data products. Your contributions will directly empower Matter's mission to deliver transformative Earth observation capabilities across various industries.Key ResponsibilitiesAlgorithm DevelopmentDesign and implement machine learning (ML) and physics-informed algorithms for hyperspectral data analysis.Develop spectral unmixing, classification, and regression models tailored to diverse geospatial applications.Translate domain-specific science (agriculture, mineralogy, ecology, aquatics) into validated algorithmic methodologies.Utilize modern AI tools to enhance code generation and accelerate problem-solving.Pipeline ArchitectureConstruct and maintain scalable data processing pipelines on AWS for handling extensive geospatial datasets.Architect systems for radiometric correction, atmospheric compensation, and geometric orthorectification.Optimize processing pipelines for efficiency in throughput, latency, and cost management across petabyte-scale imagery.

About Matter IntelligenceMatter Intelligence is pioneering the future of vision AI by integrating a groundbreaking sensor capable of perceiving molecular chemistry, temperature, and 3D shapes with a Large World Model—our sophisticated intelligence engine tailored for the physical realm. This innovative system transcends mere visual perception; it comprehensively understands everything from a single pixel. We term this as Superintelligent Vision.Our distinguished team has contributed technologies to Mars missions for NASA/JPL, co-established and led infrastructure initiatives for OpenAI, developed advanced sensors for U.S. Defense, and created fundamental algorithms for spectral and 3D imaging. Together, we are committed to establishing the next frontier for vision and intelligence in the physical world.About the RoleAt Matter, we are developing technology that sits at the intersection of hardware, AI, and Earth observation. This position is uniquely positioned between Engineering and Operations.As the inaugural hire in this role, you will collaborate closely with various teams across Matter, including sensor engineers, ML researchers, satellite systems designers, sales, and leadership. Your primary responsibility will be to understand their workflows, pinpoint opportunities where intelligent agents can condense hours of work into mere seconds, and design these solutions. One week you might be crafting a multi-agent workflow for automating competitive intelligence tracking, and the next, you could be developing an internal tool that provides the hardware team with instant access to five different documentation systems. You will take ownership of challenges from discovery through deployment and continuous iteration.This position is not suited for individuals who prefer to follow a ticket queue. It is tailored for a developer with robust computer science fundamentals who can work autonomously, build trust within a demanding organization, and deliver production-grade agents that are essential to our operations.Key ResponsibilitiesAgent Development & EngineeringDesign, develop, test, and maintain production-quality AI agents and tools utilizing contemporary frameworks and APIs.Architect robust, secure, observable, and maintainable agentic systems.Create AI-native user experience patterns that facilitate seamless adoption: including human-in-the-loop checkpoints, auditability, graceful failure/rollback, and feedback mechanisms.Choose and integrate suitable tools, memory systems, and retrieval strategies tailored to each agent's specific use case.Produce clean, well-documented, version-controlled code, setting the standard for quality.Product Discovery & RequirementsEngage with stakeholders to gather requirements and translate them into effective AI solutions.

About Matter IntelligenceMatter Intelligence is at the forefront of Vision AI innovation, developing a groundbreaking sensor capable of interpreting molecular chemistry, temperature, and 3D shapes, all powered by an advanced Large World Model. This revolutionary system not only captures visual data but comprehensively understands the nuances behind each pixel. We call it Superintelligent Vision.Join a remarkable team with a proven track record, having delivered technologies to NASA/JPL for Mars missions, co-founding and building infrastructure for OpenAI, crafting state-of-the-art sensors for U.S. Defense, and developing pivotal algorithms for spectral and 3D imaging. Together, we are laying the groundwork for the next generation of vision and intelligence in our physical world.About the RoleWe are seeking a passionate Junior Geospatial Data Scientist to design and sustain processing pipelines and algorithms that convert our satellite's raw hyperspectral imagery into high-quality scientific data products. This role is not solely research-oriented; you will be responsible for writing production-level code that operates at scale, and a solid understanding of the mathematics and physics behind each pipeline component is essential.In collaboration with experienced remote sensing scientists and software engineers, you will execute radiometric corrections, atmospheric compensation, spectral analysis algorithms, and geospatial data transformations. If you have the ability to derive a reflectance equation on a whiteboard and seamlessly translate it into a clean, tested Python module, this opportunity is perfect for you.

Vivodyne: Pioneering Human Data Generation Pre-Clinical TrialsAt Vivodyne, we revolutionize the discovery, design, and development of human therapeutics by utilizing large-scale, lab-grown human organ tissues. Our innovative approach integrates cutting-edge biology, robotics, and artificial intelligence, allowing us to identify and validate novel therapeutic targets while minimizing risks associated with new therapeutic assets. By generating clinically translatable multi-omic data from our proprietary human organ tissues, we produce more human data than all U.S. clinical trials combined. Backed by elite venture funds, we collaborate with leading multinational pharmaceutical companies to enhance drug discovery and significantly reduce animal testing burdens.www.vivodyne.comRole OverviewThe AI Team at Vivodyne faces some of the most compelling challenges in science and engineering. With access to extensive and rich human tissue imagery, we are pushing the boundaries of artificial intelligence in biological applications. We are developing a suite of AI technologies aimed at automating the discovery, development, and de-risking of novel therapies through our unique technology platform, including single-cell 3D phenomics/machine vision, multimodal (multi-omic) translation, and reinforcement learning for robotic planning and study design.As an AI Senior Scientist, you will apply your expertise in large-scale model development (including Transformer, Diffusion, and hybrid architectures) and Generative AI solutions to transform our advanced imaging and multi-omics datasets into groundbreaking scientific insights. You will work closely with biologists, engineers, and AI specialists to create robust, production-ready algorithms and models that facilitate Vivodyne's impactful discoveries.This position requires on-site work at our Brisbane, California office.

At Databricks, our passion lies in empowering data teams to tackle some of the most challenging problems globally, from detecting security threats to advancing cancer drug development. We achieve this by creating and operating the world's premier Data Intelligence Platform, enabling our customers to concentrate on high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has evolved from a small office in Berkeley, California, into a global powerhouse with over 1000 employees. We are trusted by thousands of organizations—from small startups to Fortune 100 companies—with their mission-critical workloads, establishing us as one of the fastest-growing SaaS companies worldwide. Our engineering teams are dedicated to developing highly technical products that address real-world needs. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability crucial for our customers' success on our platform. Operating one of the largest-scale software platforms, our infrastructure comprises millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we routinely encounter cloud hardware, network, and operating system faults, and our software is designed to shield our customers from such issues effectively. As a Data Scientist on the Data Team, you will play a pivotal role in fostering a data-driven culture within Databricks by addressing product and business challenges. The Data Team serves as an internal, production 'customer' that utilizes Databricks and influences the future trajectory of our products. Your Impact: Steer the direction of key data science initiatives including segmentation, recommendation systems, forecasting, product analytics, churn prediction, and insights. Collaborate closely with Engineering, Product Management, Sales, and Customer Success to discern product usage patterns and trends, facilitating data-driven decisions, recommendations, and forecasts. Manage stakeholder expectations in your focus area—gather evolving requirements, define project OKRs and milestones, and effectively communicate progress and results to non-technical audiences. Mentor and support junior data scientists within the team, assisting with project planning, technical decisions, and conducting code and documentation reviews. Advocate for the data science discipline across the organization, amplifying our commitment to becoming more data-driven. Develop self-service internal data products to simplify data access within the company. Represent Databricks at academic and industry conferences and events.

About AirwallexAirwallex stands as the premier unified payments and financial platform tailored for global enterprises. Our unique blend of proprietary infrastructure and advanced software empowers over 200,000 businesses across the globe, including notable names such as Brex, Rippling, Navan, Qantas, and SHEIN. We offer fully integrated solutions for managing everything from business accounts and payments to spend management, treasury services, and embedded finance on a global scale.Founded in Melbourne with a dynamic workforce of over 2,000 innovative professionals across 26 global offices, Airwallex is valued at $8 billion. We are backed by leading investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, positioning us at the forefront of creating the future of global payments and financial services. If you are ready to embark on the most ambitious journey of your career, we invite you to join us.Attributes We ValueWe seek builders with an entrepreneurial spirit who aspire for real impact, accelerated growth, and genuine ownership. You bring deep expertise and analytical thinking, driven by our mission and operating principles. You thrive in a fast-paced environment, demonstrating curiosity and making decisions based on foundational principles while balancing speed with thoroughness.With a humble and collaborative approach, you transform innovative ideas into tangible products and ensure projects are completed from start to finish. Leveraging AI, you work efficiently and solve problems quickly. Here, you will tackle complex, high-impact challenges alongside exceptional teammates and advance your career as we redefine the future of global banking. If this resonates with you, let's innovate together.Growth Data Science TeamThe Growth Data Science team is at the heart of Airwallex’s growth strategy, leveraging data and AI to create a sustainable competitive edge. We design and implement advanced solutions encompassing predictive modeling, personalization, LLM-powered systems, incentive optimization, and causal inference to drive significant growth throughout the customer journey.Discover more about our data science team in this blog.The RoleWe are on the lookout for a Senior Data Scientist to collaborate closely with our Growth and Marketing teams. Your role will involve designing, deploying, and refining impactful data science initiatives that drive our growth objectives.

Samba TV is a cutting-edge AI-driven media intelligence firm dedicated to empowering marketers with comprehensive insights into their audiences. Our advanced AI technology analyzes media consumption across millions of smart TVs and 2.5 billion web pages, integrating this data with external signals through the Samba Knowledge Graph, which maps the genuine interests, behaviors, and purchasing intents of 1.5 billion global user profiles. Brands, agencies, publishers, and platforms leverage Samba's capabilities to enhance their decision-making processes throughout every phase of the marketing funnel.ABOUT THE ROLEWe are on the lookout for a proactive Data Scientist who will take charge of complex measurement science and modeling initiatives central to our measurement and audience science offerings. This position demands a profound, foundational understanding of data science and machine learning—beyond merely utilizing libraries; it requires the ability to think critically about model behavior, clearly communicate the trade-offs between different strategies, and make sound methodological choices amidst uncertainty. This role is primarily focused on coding; you will dedicate most of your time to writing high-quality Python code, constructing and assessing models based on extensive viewership and web data, and delivering comprehensive ML solutions.Collaboration with Data Engineering, Product, and go-to-market teams will be integral to your success.

Join Aircall, the leading integrated customer communications and intelligence platform that empowers growing businesses worldwide. With a trusted network of over 20,000 companies, Aircall seamlessly integrates voice and digital channels into one powerful platform, featuring one-click connections with top CRMs and over 100 essential business tools. Our AI-driven insights and automation capabilities enable sales and support teams to optimize their time, discover new opportunities, and deliver outstanding customer experiences. With a diverse global team of over 600 in cities such as Paris, New York, San Francisco, and more, Aircall is revolutionizing the way businesses engage with their customers, fostering deeper relationships and driving measurable success.Our Work Culture: At Aircall, we prioritize customer satisfaction, continuous learning, and extraordinary results. We encourage open collaboration, ownership, and swift, informed decision-making. If you thrive in a dynamic, team-oriented environment where curiosity, trust, and impact are key, you will fit right in.About Our TeamThe Data team at Aircall is integral to our decision-making process, driving innovation and growth through advanced data solutions, tools, and actionable insights.Role OverviewAs a Senior Data Scientist, you will play a crucial role in providing insights to our product and business teams, collaborating closely with product and engineering leaders. You will support key initiatives such as pricing strategies, packaging, multi-product approaches, and self-service solutions. Additionally, you will work cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data requirements into impactful solutions. Your contributions will also include establishing best practices in analytics and mentoring team members to uphold high standards in data governance and insight generation.

About Matter IntelligenceWelcome to Matter, where we are pioneering a profound understanding of the universe around us, harnessing advanced technologies to collect and analyze data from Earth's orbit and the surface of Mars.Our team comprises experts with decades of experience, and together, we are excited about the transformative impact our innovations can have on the future. Your role will be crucial in bringing our groundbreaking technologies to market, and we are dedicated to equipping you with the resources and support you need to excel. Join us in creating unparalleled planetary data that will drive meaningful change and foster a more informed future.About the RoleWe are in search of an exceptional Chief of Staff / Business Operations Manager to work closely with our executive leadership team. This critical position will focus on driving strategic initiatives, optimizing operational workflows, and facilitating cross-departmental collaboration to meet Matter’s ambitious goals.

Join Windfall, a pioneering people data and AI company, where data science is at the heart of our mission. We are dedicated to transforming how organizations understand and leverage people data by equipping leading commercial and nonprofit partners with precise, actionable predictive models.We are seeking a product-focused Senior or Staff Data Scientist to be part of our Modeling & AI team. In this pivotal role, you will directly influence customer success by developing custom propensity models that tackle our clients' most pressing challenges. Collaborating closely with customer data and Windfall's extensive data resources, you will craft innovative solutions and create comprehensive modeling pipelines that convert data into tangible value.This position offers a unique chance to witness your contributions in action, working hand-in-hand with our clients to develop a range of models, from sophisticated marketing and lead scoring to donation likelihood models that enhance the missions of the world's leading nonprofit organizations.

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.

About DecagonDecagon stands at the forefront of conversational AI, enabling brands to create unparalleled concierge customer experiences.Our innovative technology empowers leading enterprises such as Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to harness AI agents that facilitate personalized and highly engaging interactions across various channels, including voice, chat, email, and SMS.We envision a future where customer experience transcends traditional support methods, offering quicker solutions, enriched dialogues, and more profound connections. Backed by elite investors like a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, we are committed to this vision.At Decagon, we thrive in an office environment that champions collaboration, excellence, and rapid progress. Our core values—Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle—guide our team dynamics and growth.About the RoleIn your role as a Senior Data Scientist at Decagon, you will apply rigorous technical expertise to analyze, test, and leverage data across our business operations. You will design experiments, utilize advanced statistical techniques, and construct scalable analytical frameworks to directly influence product strategy and enhance corporate performance.You will collaborate with Engineering and Product teams to implement robust measurement practices, promote data-driven decision-making, and derive insights that will guide Decagon’s future direction. This position requires a blend of analytical excellence and product insight, with the capacity to impact decisions at the highest organizational levels.In this role, you willDevelop and manage foundational datasets and metrics that reflect usage, performance, and efficiency across Decagon's AI platform.Enhance and expand Decagon’s data models, metrics, and dashboards to ensure coherent and scalable reporting across various teams.Collaborate closely with Engineering to inform strategy using data—identifying potential bottlenecks and scaling challenges before they escalate.Partner with Product and Engineering teams to integrate experimentation and measurement best practices into product development processes.Continuously refine Decagon’s data stack, ensuring efficient models, pipelines, and tools that enable self-service analytics across the organization.

Join Our Team as a Senior Applied Scientist!At Gridware, we are on a mission to revolutionize grid management through innovative technology. Based in San Francisco, we are pioneering a cutting-edge approach known as Active Grid Response (AGR). This initiative focuses on enhancing the reliability and safety of the electrical grid by monitoring its electrical, physical, and environmental parameters. Our advanced platform leverages high-precision sensors to identify potential issues early, facilitating proactive maintenance and minimizing outages. Backed by leading climate-tech and Silicon Valley investors, we are poised to make a significant impact in the energy sector. For more insights on our work, visit www.Gridware.io.Role Overview:We are looking for a talented Senior Applied Scientist with a strong background in machine learning and digital signal processing (DSP). In this role, you will be responsible for designing sophisticated models that operate on diverse time-series sensor data within resource-constrained environments. Your work will involve developing algorithms that optimize for accuracy while adhering to strict power and memory constraints, thereby advancing Gridware’s edge intelligence capabilities. This position requires a blend of applied research, model optimization, and close collaboration with hardware and firmware teams to implement low-level solutions.

About AbridgeAbridge, established in 2018, is dedicated to enhancing understanding within the healthcare sector. Our innovative AI-driven platform is specifically designed for medical dialogues, streamlining clinical documentation processes while allowing clinicians to prioritize what truly matters—their patients.Our enterprise-level technology converts patient-clinician interactions into structured clinical notes in real-time, seamlessly integrated with electronic medical records (EMRs). With our Linked Evidence and uniquely auditable AI, we are the sole provider that aligns AI-generated summaries with ground truth, enabling healthcare providers to quickly trust and verify the information produced. As trailblazers in generative AI for healthcare, we are setting the benchmark for the ethical use of AI across health systems.We comprise a diverse and expanding team of practicing MDs, AI experts, PhDs, creatives, technologists, and engineers all committed to empowering individuals and simplifying care. Our offices are located in San Francisco's Mission District, New York's SoHo neighborhood, and East Liberty in Pittsburgh.The RoleOur generative AI-driven products are transforming the medical field, and we are seeking a highly driven Senior Data Scientist to become a vital part of our expanding US-based Data Science & BI team. Your contributions will significantly shape product strategy and directly affect how healthcare practitioners interact with patient data.What You'll DoData Analysis and Insight GenerationExtract valuable insights and recognize trends and patterns pertinent to our business and product by gathering, cleaning, and analyzing both internal and external data.Maintain comprehensive visibility and comprehension of our AI generation pipelines, from internal quality metrics to automated evaluations in production.Investigate and rectify issues identified through data operations monitors, tools, and reports.Advanced Data ModelingUser Behavior Modeling: Analyze user interactions, engagement metrics, and funnel analyses to identify patterns and insights for product enhancement and feature development. Data-driven approaches are crucial for boosting user engagement and retention.A/B Testing: Design and interpret A/B tests to assess the efficacy of product features and design modifications.AI Model Evaluation: Evaluate and enhance AI models to ensure superior performance and accuracy.

Join the Center for AI Safety (CAIS), a premier research and advocacy organization dedicated to addressing the complex societal challenges posed by artificial intelligence (AI). Our mission focuses on mitigating large-scale risks associated with AI through groundbreaking technical research, strategic initiatives, and proactive policy engagement, in collaboration with our sister organization, the Center for AI Safety Action Fund. As a Senior Research Scientist at CAIS, you will spearhead and execute transformative research aimed at enhancing the safety and reliability of advanced AI systems. You will take ownership of significant open challenges, driving them to successful publication. We seek individuals who set a high standard for research excellence and contribute innovative ideas to elevate our collective understanding. Your role will involve designing and conducting experiments on large language models, developing the necessary tools for large-scale model training and evaluation, and translating findings into publishable research. Close collaboration with CAIS researchers and external academic and industry partners will be essential, utilizing our compute cluster for extensive training and evaluation projects. Research areas include AI honesty, robustness, transparency, and mitigating trojan/backdoor behaviors, all geared towards reducing real-world risks from sophisticated AI systems.

About Our TeamThe Intelligence and Investigations team at OpenAI is committed to proactively identifying and mitigating online abuse and strategic risks. Our mission is to foster a safe digital ecosystem by analyzing emerging trends and collaborating with internal and external partners to implement effective measures against misuse. Through our initiatives, we contribute to OpenAI's goal of creating AI technologies that enhance human well-being.The Strategic Intelligence & Analysis (SIA) team specializes in providing safety intelligence for OpenAI’s products. By monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats, we guide safety measures, product strategies, and partnerships. Our work ensures that OpenAI’s tools are utilized securely and responsibly in essential sectors.About the RoleAs a Data Scientist, you will spearhead econometric and experimental analyses to comprehend risk dynamics within complex human–AI systems. Your focus will be on quantifying the magnitude and implications of risk fluctuations in a fast-paced, evolving environment. You will design experimental and observational studies to uncover causal factors and assess risk changes across diverse surfaces and sources. Your insights will directly influence strategic risk management and prioritization across the organization.This position is based in San Francisco, CA (hybrid, 3 days/week) with relocation assistance available.Key Responsibilities:Design and execute experimental and observational analyses to evaluate strategic risks.Develop econometric models to assess the impact of product, policy, and external factors on critical risk vectors.Translate strategic risk inquiries into testable hypotheses and robust study frameworks.Implement A/B tests and pseudo-experimental studies to measure risk changes and uncover underlying mechanisms.Identify, test, and clarify product-driven, event-driven, or signal-driven risk variations.Establish baselines and statistical confidence around core metrics to define the scale of risks.Collaborate across teams to monitor strategic risks, pinpoint intervention opportunities, and assess the effectiveness of those interventions.

Join our dynamic team at mindlance2 as an Associate Scientist. In this pivotal role, you will contribute to groundbreaking research and development projects, collaborating with a talented group of professionals dedicated to innovation and scientific advancement.As an Associate Scientist, you will engage in experimental design, data analysis, and interpretation of results, ensuring the highest standards of scientific integrity. This position offers an exciting opportunity to grow your skills and make significant contributions to our projects.

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.

The RoleBecome a key player in the evolution of healthcare with Hinge Health, a pioneer in crafting a patient-focused digital clinic that enhances clinical outcomes while yielding substantial financial benefits. As a seasoned Data Scientist in the ROI Identification & Measurement Pod, you will be instrumental in shaping our value proposition. Your role will extend beyond mere data analysis; you will design automated systems and predictive models that highlight our economic impact for major employers and health plans globally. If you are enthusiastic about leveraging causal inference and extensive datasets to influence company-wide strategies, this is your chance to create the