Transforming Blockchain Data into ClarityAt Allium, we are dedicated to simplifying the complexities of blockchain data, making it accessible, accurate, and fast.The Challenge of Blockchain DataSince our inception in late 2021, we recognized that although blockchain data is publicly available, it remains notoriously difficult to comprehend and access. For instance, answering questions like “Who are the largest Ethereum token holders over time?” typically necessitates a full engineering effort to manage RPC nodes, process extensive blockchain histories, and execute intricate SQL queries.Optimization ChallengesHistorically, blockchains have been designed for efficient Writes, with less focus on Reads, complicating the extraction of data. This design prioritizes transaction speed and fault tolerance, yet it hinders reliable data retrieval.Expertise in Data Manipulation RequiredAs Tim Roughgarden, a Columbia Professor, aptly noted, “Blockchains are (virtual) computers, not databases.” This complexity, coupled with the diverse use cases and fragmented data schemas, necessitates profound domain knowledge to convert complex technical outputs into comprehensible data regarding tokens, NFTs, stablecoins, and DEXs.Our SolutionAllium streamlines this process by ingesting, sanitizing, and standardizing data from over 100 blockchains, amassing petabytes of information that grow exponentially.Join Us in Revolutionizing Blockchain DataOur mission parallels that of Google and Bloomberg in organizing vast datasets, as we strive to index blockchain data for the benefit of the industry. We are excited to support pioneers in this space and contribute to the evolution of blockchain analytics.

Join Allium: Simplifying Blockchain DataThe Challenge of Blockchain DataSince our inception in late 2021, we recognized a critical truth: blockchain data is publicly available but notoriously difficult to interpret and access. Simple inquiries, such as “Who are the largest Ethereum token holders over time?”, often necessitate a skilled engineering team to set up RPC nodes, process vast amounts of blockchain history, and execute complex SQL queries.Why Accessing Blockchain Data is ChallengingHistorically, blockchains have been designed to optimize write operations rather than read operations. This focus on enhancing transaction throughput and building robust consensus algorithms has made it increasingly difficult to extract data efficiently and reliably.Expertise Required for Blockchain Data InterpretationAs noted by Columbia Professor Tim Roughgarden, “Blockchains are (virtual) computers, not databases.” They serve as Turing machines that allow for diverse computations, leading to a myriad of data schemas tailored for various applications. Standardizing these schemas requires specialized knowledge to transform obscure technical outputs into understandable insights regarding tokens, NFTs, stablecoins, and DEXs.Allium's SolutionAt Allium, we address this complexity by ingesting, sanitizing, and standardizing blockchain data. Our extensive archive spans over 100 blockchains, amounting to petabytes of data that is rapidly expanding.A Mission to Organize Blockchain DataSimilar to how Google and Bloomberg revolutionized access to financial and web data, Allium aims to index blockchain data for universal accessibility. This endeavor supports innovators within the industry and positions us as a vital contributor to the blockchain ecosystem.

Transforming Blockchain Data with AlliumAt Allium, we simplify the complexities of blockchain data, making it accurate, accessible, and efficient.The Challenge of Blockchain DataDespite being public and free, blockchain data is notoriously difficult to navigate. Since our inception in late 2021, we recognized that accessing information such as “Who are the largest Ethereum token holders over time?” often requires extensive technical resources, from managing RPC nodes to executing intricate SQL queries.The Optimization DilemmaBlockchains have primarily been optimized for data writing rather than reading. This approach has hindered the ability to efficiently extract data, complicating access and analysis.Expertise Needed for Data InterpretationAs Tim Roughgarden from Columbia University aptly stated, “Blockchains are (virtual) computers, not databases.” This complexity leads to diverse data schemas that necessitate specialized knowledge for effective interpretation, particularly around tokens, NFTs, stablecoins, and decentralized exchanges (DEXs).Allium's SolutionAllium addresses these challenges by ingesting, sanitizing, and standardizing vast amounts of blockchain data across over 100 blockchains, currently amounting to petabytes of information and expanding rapidly.Join Our MissionJust as Google and Bloomberg revolutionized access to public financial and web data, Allium is on a mission to do the same for blockchain data. With our indexed data, we aim to empower innovators in the industry and contribute significantly to its evolution.

Exploring the Dual Nature of Blockchain: Strengths and WeaknessesPermissionless systems can lead to fragmentation of understanding.Decentralization may result in confusing standards.Immutability increases the complexity of data and query infrastructures.Neutrality leaves interpretations without clear accountability.Blockchain data is publicly accessible but not suitable for institutional use. Its open nature results in fragmentation, challenging interpretation, and maintenance. For instance, answering a straightforward query like “Who are the largest Ethereum token holders over time?” can involve significant technical steps, including running nodes, processing full chain history, decoding contracts, and formulating intricate SQL queries.Blockchains excel in writing, not reading. They prioritize consensus and execution over searchability, standardization, or financial interpretation. Blockchains function more like computers than databases, with each protocol establishing its own schema. The same economic action can be represented in various formats, leading to:Fragmented standardsIncreased complexityAccountability issues in interpretationEvents devoid of economic significanceFinance requires a reliable system of record to function effectively.Join Allium: Pioneering the System of Record for Onchain FinanceAt Allium, we ingest, validate, and standardize data across over 140 blockchains and 30 petabytes of historical data. We address four critical gaps that hinder blockchains from serving as systems of record:Semantic Gap: Converting raw events into financial concepts such as payments, trades, deposits, and staking income.Standardization Gap: Creating a unified cross-chain schema from thousands of protocols.Infrastructure Gap: Delivering read-optimized data on a global scale.Interpretation Gap: Providing clear, accountable interpretations of blockchain events.

Exploring the Dual Nature of BlockchainPermissionless: While empowering, it can lead to meaning fragmentation.Decentralization: Results in an overload of standards.Immutability: Contributes to a rise in data and query infrastructure complexity.Neutrality: Can result in a lack of accountability for various interpretations.Blockchain data is public yet remains difficult to utilize on an institutional scale. Despite its openness, blockchain data can be fragmented and challenging to interpret. For instance, answering a simple query like “Who are the largest Ethereum token holders over time?” often requires running nodes, ingesting complete chain history, decoding contracts, cleaning edge cases, and employing complex SQL queries.The Nature of BlockchainsThey are designed for consensus and execution, not for searchability or standardized financial interpretation. Blockchains function more like computers than databases. Each protocol establishes its own schema, leading to:Fragmented standardsExponential complexityUnaccountable interpretationsEconomic events lacking meaningTo operate effectively, finance requires a system of record.Allium's Vision for Onchain FinanceAt Allium, we are developing the definitive System of Record for Onchain Finance by ingesting, verifying, and standardizing data across over 140 blockchains and 30 petabytes of historical data. We address four critical gaps hindering blockchains' potential as systems of record:Semantic Gap: Converting raw events into financial concepts such as payments, trades, deposits, and staking income.Standardization Gap: Integrating thousands of protocols into a unified cross-chain schema.Infrastructure Gap: Creating read-optimized, globally distributed data systems at web scale.Scale Gap: Ensuring our infrastructure can handle extensive data loads efficiently.

Join Allium: Simplifying Blockchain DataAt Allium, we are dedicated to transforming blockchain data into accessible, accurate, and efficient resources. Founded in late 2021, our mission is to tackle the chaos surrounding blockchain data, making it easier for users to engage with.The Challenge of Blockchain DataBlockchain data presents unique challenges—it is often complex, unstructured, and difficult to manipulate. Simple queries, such as identifying the largest Ethereum token holders over time, can require an entire engineering team to navigate the intricacies of blockchain technology.Understanding Blockchain LimitationsHistorically, blockchain systems have been optimized for writing data rather than reading it. This imbalance complicates the retrieval of data, leading to inefficiencies and hurdles when accessing the information we need.The Need for ExpertiseExpertise in blockchain data is crucial for parsing and interpreting this information. As Tim Roughgarden eloquently stated, “Blockchains are (virtual) computers, not databases.” The diverse use cases for smart contracts result in a fragmented landscape of data schemas, underscoring the necessity for specialists who can standardize and clarify this information.Our SolutionAllium addresses these challenges by ingesting, sanitizing, and standardizing blockchain data from over 100 blockchains, currently archiving petabytes of information. Our goal is to index and simplify this data for users, just as Google and Bloomberg did for their respective domains.Be Part of the ChangeWe invite you to join us in revolutionizing the blockchain space. If you’re eager to learn and contribute to a groundbreaking project, Allium is the place for you!

Exploring the Dual Nature of BlockchainPermissionless architecture can lead to fragmented interpretations.Decentralization results in a multitude of standards.Immutability creates an exponential increase in data and query complexity.Neutrality implies the absence of accountability for varied interpretations.While blockchain data is publicly accessible, its utility at an institutional scale is hindered. The fragmented nature makes interpretation challenging, leading to difficulties in maintaining accurate records. Simple queries, such as identifying the largest Ethereum token holders over time, can necessitate extensive technical efforts including node operation, chain history ingestion, contract decoding, and complex SQL execution.Blockchains are fundamentally designed for writes, not reads.They focus on consensus and execution rather than on searchability or standardization. Each protocol comes with its own schema, leading to diverse encodings of similar economic actions, which results in:Fragmented standards.Increased complexity.Lack of accountability in interpretation.Economic events lacking meaning.To function effectively, finance requires a robust system of record.Join Allium in Revolutionizing On-chain FinanceAllium is pioneering the creation of a System of Record for On-chain Finance, standardizing and verifying data across 140+ blockchains and over 30 petabytes of historical data. We address four critical gaps that hinder the transition of blockchains into effective systems of record:Semantic Gap: Transforming raw blockchain events into understandable financial concepts such as payments, trades, and staking income.Standardization Gap: Consolidating various protocols into a unified cross-chain schema.Infrastructure Gap: Providing read-optimized, globally distributed data at web scale.Operational Gap: Ensuring accessibility and usability of blockchain data for financial institutions.

Join Us at AgentioAt Agentio, we're redefining how marketers engage with creator-led advertising. Our innovative platform simplifies the process of sourcing, pricing, contracting, delivering, and measuring these ads, enabling marketers to operate with the same efficiency as they would on platforms like Meta or Google—transforming what traditionally took months into mere minutes.Our mission is ambitious: to revolutionize an $800 billion digital advertising landscape by empowering creators to capitalize on their influence. This shift promises better results for marketers and ensures that creators are compensated fairly for their contributions. Major corporations, such as Unilever, are already reallocating significant portions of their advertising budgets towards this trend, validating our approach. With Agentio, brands like Uber, DoorDash, and Bombas can execute creator campaigns with the precision and accountability they require.Having successfully raised $56 million with a valuation of $340 million, including a recent Series B round led by Forerunner, Agentio is backed by notable investors including Benchmark, Craft, and AlleyCorp. We are proud to be recognized by Forbes as one of the Next Billion Dollar Startups in 2025. Our platform is already making waves among leading marketers and creators, and we’re just getting started!Data: The Core of Our InnovationOur platform seamlessly allocates budgets to the most suitable creators at optimal prices, complete with clear attribution. We gather rich first-party signals from creative briefs, audience insights, content performance, and outcomes, facilitating robust links to conversions. By training LLM-driven ranking and pricing models, we elevate every aspect of campaign management—from discovery and acceptance likelihood to pacing and scale. Every new campaign enhances our data pool, creating a self-reinforcing learning loop that improves matching, forecasting, and measurement efficiency with each iteration.We’re on the lookout for passionate data professionals to join our expanding team. Whether your strength lies in behavior analysis, outcome modeling, experimental design, or the development of advanced data and machine learning tools, your contributions will have an immediate and significant impact—shaping product direction, refining measurement techniques, and delivering the infrastructure that powers our platform.

Company Overview:At Momenti, we are transforming the way content is experienced. Our innovative approach to video brings immersive, interactive experiences that engage audiences like never before. We believe that content should evoke emotion and foster deep connections, and we are at the forefront of this revolution.As a cutting-edge startup, Momenti specializes in Gesture Interactive Video (GIV) technology that reacts to user gestures. Our team is developing robust software for content creation, editing, and playback, powered by our unique media model. We also focus on advanced data analysis technologies to understand user interactions better, enhancing the quality of our media content. Explore our technology demonstration at https://momenti.tv.Join us in our mission to capture and analyze gesture interaction data in real-time, providing valuable insights that improve user experiences. We are building a comprehensive data pipeline and enhancing data storage and query functionalities to turn data into actionable intelligence. We invite engineers who are passionate about data and technology to become part of our journey.

Join our innovative team at Rain as a Data Scientist, where you'll leverage data to unlock insights and drive decision-making. Your expertise will play a critical role in developing predictive models and analyzing large datasets to enhance our products and services.

Join doppel as a Data Scientist and become an integral part of our innovative team. In this role, you will leverage data analytics to drive strategic decision-making and enhance our product offerings. You will be responsible for analyzing complex datasets, developing predictive models, and presenting your findings to stakeholders.

About ClayAt Clay, our mission is to empower organizations to transform their growth ideas into reality.We approach growth as a creative endeavor rather than a mere formula. Identifying and engaging with your ideal customers requires innovative thinking and ongoing experimentation. In a world where AI accelerates execution and strategies are easily replicated, creativity remains the only sustainable competitive edge. We proudly support thousands of customers, including renowned names like Anthropic, Notion, Google, and Ramp, as they navigate the market with unique data insights, signals, and AI-driven research.In 2025, we celebrated surpassing $100M in revenue and successfully completed a $100M Series C funding round at a $5B valuation, supported by prestigious investors such as Sequoia, CapitalG, and First Round. We also initiated our second employee tender offer and launched a community equity round for our customers, agency partners, and club members.Here are some key highlights about Clay:Our community boasts over 11,000 customers, 150+ integration partners, 125+ agencies, 50+ Clay clubs, and 30,000 members on Slack.We foster a unique culture that extends beyond work, with team members who are DJs, activists, writers, clowns, marathon runners, skydivers, and even psychedelic therapists.Employees have the opportunity to work with world-class coaches specializing in creativity and management at no cost.Our guiding principles—such as negative maintenance and non-attached action—direct our efforts. Discover more about them here.Explore our story in the New York Times.

About Graphite Graphite builds tools for modern software engineering teams, helping them move faster and deliver strong products. The platform focuses on code review solutions designed for agile teams, making it easier for engineers to create and review smaller pull requests, avoid roadblocks, and ship code quickly. Individual users can start using Graphite without requiring their teammates to change tools. The system synchronizes code changes and reviews smoothly. The team draws inspiration from internal tools like Phabricator (Facebook) and Critique (Google), aiming to support engineers who prefer developing, validating, and deploying incremental changes. The mission centers on empowering engineering teams to accomplish more with better workflows. Team and Culture Graphite values collaboration and believes that great software comes from strong teamwork. The company culture puts people first, applies scientific principles and craftsmanship, and encourages disciplined ambition. Early team members receive meaningful ownership, both through equity and responsibility. Outside of work, the team enjoys making espresso, producing music, and practicing yoga. Role Overview: Data Scientist (New York) Graphite is growing quickly and is hiring a Data Scientist to help shape product strategy and support company growth. This role is based in New York. What You Will Do Analyze a large dataset (10TB) to answer key data questions Design, develop, and implement data models, algorithms, and tools for analysis and visualization Build and maintain a scalable data pipeline that aggregates, processes, and stores data from multiple sources, ensuring accuracy, reliability, and availability (current stack: DBT, Segment, Redshift) Work closely with software engineers, other data scientists, and product managers to support data-driven decisions across the company Conduct exploratory data analysis and statistical modeling to uncover trends and insights

Role overview TripleLift seeks a Data Scientist based in New York to strengthen its advertising technology products. The position centers on analyzing large datasets, developing predictive models, and producing insights that inform product improvements. What you will do Examine complex data to spot trends and uncover opportunities Create and improve predictive models that guide product and business choices Present actionable insights to teams to support technology enhancements Partner with colleagues from different departments to ensure data efforts align with business priorities Collaboration and impact This Data Scientist role is part of TripleLift’s data team. Regular collaboration with cross-functional groups keeps data strategy connected to company goals. Creative problem-solving and a genuine interest in data contribute to shaping the future of TripleLift’s advertising technology.

The mission of The New York Times is to seek the truth and help people understand the world. Our commitment to independent journalism is at the forefront of our operations. With a world-renowned newsroom, we deploy journalists to report from nearly 160 countries. Our focus on enhancing the reader's experience across various media formats—from print to audio to a top-tier digital platform—drives our business strategy, ensuring our journalism's value is recognized and worth paying for.About the Role:The New York Times is in search of an inquisitive Business Data Analyst to explore advertising analytics and tackle optimization challenges within our digital and print advertising sectors.In this role, you will support our Advertising and Sales teams by analyzing products and their data sources, utilizing insights to innovate and enhance sales strategies. You will be responsible for managing print advertising, pricing strategies, and discount approvals. Collaboration with Ad Product, Sales, Revenue Operations, Sales Operations, and Finance is essential to deliver valuable insights on sales performance, trends, and print pricing strategies. You will report directly to the Manager of Business Analytics. Key Responsibilities:Analyze advertising and sales datasets to enhance overall performance, building and monitoring dashboards that provide strategic optimization alerts and recommendations.Oversee ad hoc reporting requests from the ad sales team and partners, including campaign management, sales planning, and sales operations.Deliver key business insights and actionable analysis to Sales, Advertising, and Product leadership based on performance trends.Manage pricing strategies for all print products, including approving discounts and optimizing prices.

Be a Part of the Future of Finance.At Robinhood, our mission is to make financial services accessible to everyone. With an astonishing $124 trillion in wealth expected to transfer to younger generations within the next two decades, we invite you to be part of this monumental shift in finance and culture. If you're ready to make a difference, we want to hear from you.About the Role and TeamJoin our elite Data Science team as we tackle some of the most significant financial challenges through innovative technology. We are seeking creative thinkers and skilled problem-solvers who are passionate about making a meaningful impact. At Robinhood, we thrive in a fast-paced environment where high expectations are met with high rewards. Our Brokerage team is dynamic, collaborative, and dedicated to driving innovation across our suite of products.As a Senior Data Scientist, you will collaborate with cross-functional partners in product, engineering, user research, design, marketing, finance, and operations. Your expertise will help us leverage data to enhance our brokerage services and deliver exceptional value to our customers. We are looking for a results-driven leader to propel product growth through rigorous experimentation and strategic data analysis, influencing our roadmap and enhancing the trading experience for millions.This position is based in our New York office, with in-person attendance required at least three days a week.We believe that in-person collaboration accelerates progress, promotes innovation, and builds a strong community. Our office environment is designed to inspire and support high-performing teams.ResponsibilitiesConduct in-depth analyses to pinpoint product growth opportunities and enhance key business metrics.Design, execute, and assess A/B tests, including causal inference analyses to gauge the impact of product modifications.Establish and track essential product performance metrics; create scalable dashboards for monitoring and decision-making support.Collaborate with stakeholders to translate data insights into actionable strategies for product improvement.

Our MissionAt Zocdoc, we believe that healthcare should prioritize patients. Unfortunately, many face outdated insurance directories, long wait times, and unexpected bills. Our mission is to empower patients by revolutionizing the healthcare experience. We have built a leading healthcare marketplace that simplifies finding and booking care across all 50 states, covering over 200 specialties and more than 12,000 insurance plans. By enabling patients to choose their providers, we aim to transform healthcare into a competitive market that benefits consumers. As we continue to grow, we’re looking for passionate individuals who thrive on solving complex problems in a collaborative environment. If you’re driven and enjoy working with thoughtful teammates, we want to hear from you. Your Impact on Our Mission:Join our Marketplace Data Science team as a Data Scientist embedded within the Acquisition Marketing team. You will play a pivotal role in enhancing our marketing strategies, optimizing campaign performance, and ensuring efficient marketing spend. By collaborating with Marketing, Product, and Engineering teams, you will provide actionable insights that shape our patient marketing efforts and drive growth.

Join Highbeam, where we are revolutionizing the landscape of business banking and cash management.Our innovative platform integrates AI-driven agents, automated financial workflows, and comprehensive financial products that empower brands to optimize their time and resources.We are proud to have supported customers in generating billions in sales, collaborating with renowned brands such as Cuts, Tushy, NYON, Sabah, Still Here, Alice Mushrooms, Original Grain, birddogs, and many more.Our talented team comprises alumni from prestigious companies like Shopify, Square, Toast, Rippling, and McKinsey.We have successfully raised $42 million in equity funding from esteemed investors including Acrew, FirstMark, Mayfield, and Two Sigma Ventures.

Join our dynamic team at mergeapiintegrationsandbox as a Data Scientist. In this role, you will leverage your analytical skills to dissect complex datasets, develop predictive models, and provide actionable insights that drive business success. We are looking for a candidate who possesses a robust statistical background, practical machine learning experience, and a keen interest in resolving tangible business challenges through data.

The City of New York is seeking a Data Scientist to help improve city services through data-driven insights. This role centers on analyzing large and complex datasets, building predictive models, and supporting city departments with clear, actionable findings. Role overview As a Data Scientist, the work involves examining diverse data sources, identifying trends, and translating raw information into practical recommendations. The position supports multiple city initiatives, providing analysis that informs policy and operational decisions. What you will do Analyze complex datasets from various city departments Develop predictive models to forecast trends and outcomes Deliver insights that help guide city programs and services Location This position is based in New York City.