Data Scientist Analyst Jobs

Blockchain Data Wizard, Analyst or Scientist

From $140/yr

The 4 biggest blockchain strengths are also its weakness Permissionless nature leads to fragmentation of meaning Decentralization leads to too many standards Immutability leads to exponential data + query infrastructure complexity Neutrality means that no one is accountable for interpretations Blockchain data is public. It is not usable at institutional scale. Despite being open, blockchain data is fragmented, hard to interpret, and painful to maintain. Even a simple question like “Who are the largest Ethereum token holders over time?” can require running nodes, ingesting full chain history, decoding contracts, cleaning edge cases, and writing complex SQL. Blockchains are optimized for writes, not reads. They are built for consensus and execution, not searchability, standardization, or financial interpretation. Blockchains are computers, not databases . Every protocol defines its own schema. The same economic action can be encoded in dozens of different ways. The result: Fragmented standards Exponential complexity No accountability for interpretation Events without economic meaning Finance cannot operate on that, it needs an effective system of record . Allium is building the System of Record for Onchain Finance Allium ingests, verifies, and standardizes data across 140+ blockchains and 30+ petabytes of history. We close four structural gaps that prevent blockchains from becoming systems of record: Semantic Gap: Translating raw events into financial concepts like payments, trades, deposits, and staking income Standardization Gap: Mapping thousands of protocols into a single canonical cross chain schema Infrastructure Gap: Read optimized, globally distributed data at web scale Accountability Gap: Auditable methodology, SLAs, and SOC 1 and 2 compliance The result is a neutral, canonical data layer institutions can build on with confidence. Finance is moving onchain Stablecoins, tokenized assets, trading, staking, and lending are growing rapidly. Institutions need a trusted source of truth for onchain financial activity, just as they rely on Bloomberg or DTCC in traditional markets. Raw blockchains cannot serve that role. As AI agents begin transacting autonomously , the requirement becomes even stricter. Agents cannot reason over raw event logs. They need structured data, attribution, condition checks, and auditability. Allium is the read layer that makes onchain finance usable for humans and machines. Who We Serve Allium powers three core personas with the same canonical data foundation: 1. Finance, Accounting, and Risk Teams They need reliable, audit grade answers. They rely on Allium for financial reporting, reconciliation, compliance, risk monitoring, and defensible metrics that can stand up to auditors and regulators. 2. Engineers and Product Teams They need low latency, production ready infrastructure. They use Allium to power wallets, trading systems, payment rails, staking infrastructure, and real time applications that cannot break. 3. Strategy, Research, and Executive Teams They need clarity and insight. They use Allium to understand ecosystem economics, market structure, user behavior, competitive dynamics, and where capital is flowing onchain. and of course.. agents 🦞. Our customers and users include Visa, Stripe, G-SIB Banks, Big 4 Accounting firms, BCG, Coinbase, Phantom, Uniswap and cited by the Federal Reserve. About the role At Allium, Blockchain Data Wizards are the data architects who transform raw, fragmented on-chain data into elegant, meaningful abstractions that power the world's largest crypto applications. You'll be equal parts detective, data engineer, and protocol researcher—diving deep into blockchain internals, reverse engineering DeFi protocols, and crafting data models that institutions and developers rely on. What you will do Creating Meaningful Data Abstractions Transform messy on-chain data into unified, intuitive data models (e.g dex.trades , lending.liquidations ) that work across verticals and protocols, providing users with granular, reliable insights. Reverse Engineer DeFi Protocol Mechanics Dive deep into the mechanics of new DeFi protocols, dissect smart contract interactions and on-chain events, extract the data that matters, and transform it into clean, production-ready models using SQL/dbt. Indexing New Blockchains Dive into a blockchain’s raw data structures, ensure complete and accurate data capture, and design schemas that translate native blockchain data into reliable internal models, becoming the trusted source of truth for that ecosystem. Building Metrics & Filtering Noise Design and create metrics people can actually use - volumes, fees, TVL, and user activity, and filter out noise like wash trades, bots, and Sybil attacks. Make it easy for the industry to see what’s real and what matters. Qualities Sherlock & Enola Holmes-Level Curiosity You find peculiarities in data that others miss. You question assumptions, dig deeper when something looks off, and help the industry redefine narratives with evidence-based insights. Product-Minded Data Design You don't just build tables—you design data products. You think about query patterns, performance, documentation, and how end users will interact with your models. Comfortable with Ambiguity New blockchains and protocols have sparse documentation. You thrive when you need to figure things out yourself through exploration and experimentation. SQL/dbt Mastery You can write elegant, performant SQL transformations that process large volumes of data. You understand incremental models, macros, and how to build maintainable data pipelines at scale. Allium's Data Wizards in Action Co-developing methodology to identify organic and meaningful stablecoin activity, powering Visa's Stablecoin Dashboard Reconstructing Bitcoin Ordinals data to power research work Sybil Detection for Wormhole's Token Launch Powering Brevan Howard Digital's stablecoin industry reports Design chain level metrics (Fees, Activity..) for all chains Don't take our word for it, what our customers say about us ( https://www.allium.so/blog#love) What some ~cool people have to say about us: The Information's Top 50 Startups ( https://www.allium.so/post/allium-named-to-the-informations-50-most-promising-startups-of-2025 ) Mario Gabriele from The Generalist's Future 50 Startup List: https://www.allium.so/post/allium-named-awardee-of-the-generalists-inaugural-future-50-startups Tomasz Tungus from Theory Ventures: https://tomtunguz.com/allium/ Bucky Moore from Kleiner Perkins: https://www.kleinerperkins.com/perspectives/allium-series-a/ Ok.. now for some tough love, here are the values we strive for at Allium: Obsessiveness - The best people at Allium cannot put a problem down once they pick it up. We care more about the work than is strictly rational. Institutions trust us because our data is right. Right means caring about the small things. The decoded contract that ships with one wrong field. The label that is 99% accurate but wrong on the address that matters. The query that runs in 4 seconds when it should run in 400 milliseconds. Most companies tolerate these. We do not. Obsessiveness shows up as depth of care. It is not measured in hours worked or visible effort. You should feel something physical when work ships half-right. That instinct is what we hire for. Pro Athlete Mindset - Consistency. Day in and day out, in pursuit of excellence. A win yesterday does not guarantee (or even imply!) a win tomorrow. I hope anyone who supports a failing sports team will feel the pain ( cough Man United fan s) of inconsistency Figure It Out & Extreme Ownership - Every day is unexplored territory. There are new engineering frameworks, new legal docs, new compliance, new sales, new regulations, and new operational procedures every single day. If you don’t know it, learn it. If you can’t learn it, find someone or a product that does it. If you can’t find someone, find someone who can find someone. It is never lack of resources, but lack of resourcefulness. High Agency - (One of) the highest commonality between all successful people is their responsiveness, most successful billionaire CEOs still reply to emails within minutes (within working hours). And when you reply, respond fast with effective solutions - and even better, resolutions. If you’re looking for a superpower, you can’t go wrong with responsiveness. Well of course this doesn't make sense when you're an engineer coding in flow, but in general high agency of problem solving gets one very far in life Leading from the Front - No one is going to listen (and adopt) your suggestion unless you lead by example. It’s one thing to say We need to do XYZ this better & it’s another thing to build an MVP and say “This is the way we should do things”. The proof of work and momentum goes a long way. Strong Opinions On the Future (loosely held) It is okay to be wrong, but what is not okay is not to have an idea of how a better future should be. Alliumites take pride in trying to improving everything about the company all the time. Sense of (allium) business smell - There are number of folks who live to eat at Allium, but the Allium smell we are talking about is that we love folks who naturally want to know why and how the work they are doing builds leverage for their teammates and also relates to the business goals About the team We invite people of all backgrounds ( https://www.allium.so/about ). We have engineers who learnt coding much later in life, who learnt coding on the side, we have engineers who are still in school and we also have engineers who went to the top schools (CMU, Stanford, UIUC, UPenn, Oxford, NUS, Cornell), all are welcome if one comes in with a curious mind and an infectious work ethic. Administrative Benefits Medical, Dental, Vision, Life and AD&D insurance - US folks get 100% coverage for Gold plans, 80% for dependents Ownership - Meaningful early-stage equity. Every full-time employee receives a stock option grant so you can share directly in Allium's upside Time off - Flexible, trust-based paid time off. We encourage people to take the rest they need. In every country we hire, our policies meet or exceed local statutory vacation requirements Retirement - Company sponsored 401(k) plan in US so you can save pre-tax for the long term Note: The sun never sets on Allium - we hire from any geographical location as long as you are willing to overlap 2 hours overlap on NYC mornings Mon-Thurs from 10am-12pm ET. We have people based in New York, Seattle, Singapore and Australia All applicants have to answer this pop quiz: " What is an Allium? What is your favorite Allium? ". Bonus points for the right pronunciation.

Blockchain Data Wizard, Analyst or Scientist

Data Scientist/Analyst

Business Process Consultant (w/m/d) als Technical Data Analyst / Data Scientist

Data Scientist / Research Analyst

Data Scientist / Data Analyst

Sr. Analyst - XA - Activated Insights (Social/ Behavioral Data Scientist) - Hyderabad

Sr. Analyst - Executive Accelerators – Activated Insights (Social/Behavioral Data Scientist) About Executive Accelerators Are you striving for a high-performing role where your efforts tangibly support the relationship-building activities of Deloitte’s client teams with the C-Suite executives of our most important clients? Are you interested in taking your current skills to a new level to meet the demands of this role? Can you manage multiple deadlines, multiple stakeholders, multi-task, and work in stimulating dynamics, if so, then this is the role for you; it provides you with the opportunity to help enhance and enable Deloitte’s ability to deepen their C-Suite relationships through the delivery of differentiated client experiences. About Activated Insights Deloitte’s Executive Accelerators Activated Insights team provides transformative experiences and rich insights to help business leaders and their teams navigate challenges and drive impact. This team develops cutting-edges thought leadership and research that informs and guides senior executives across various functions, with a focus on human dynamics, teaming, leadership, and working styles. About the Role As a Social/Behavioral Data Scientist with Deloitte’s Executive Accelerators Activated Insights team, you will be at the forefront of pioneering research to uncover actionable insights on team effectiveness and workplace behavior at the highest organizational levels. This highly collaborative and strategically impactful role is ideal for a data-driven researcher with deep expertise in the quantitative social sciences, advanced analytics, and emerging technologies, including machine learning and generative AI. You will partner with business and academic stakeholders to design, manage, and deliver large-scale research studies, leveraging your analytical skills to translate behavioral data into compelling, practical solutions for executive audiences. From survey creation and project management through data engineering and the development of analytical tools, you will shape Deloitte’s understanding of how teams and leaders thrive in fast-evolving business environments. What you will do Research Studies Manage large-scale research studies on team effectiveness and working styles, including project planning, proposal development, and stakeholder engagement from ideation through deployment Prepare detailed research proposals with clear research questions, methodologies, survey instruments, sampling plans, and project timelines Integrate relevant secondary research and conduct competitive intelligence from peer organizations and academic institutions to define key research questions and identify opportunities for differentiation Data Management \& Analysis Build and maintain quality-controlled databases at both individual and team levels, ensuring reliable data extraction, feature engineering, and data integrity Analyze complex qualitative and quantitative data sets using advanced statistical methods, machine learning, AI, and agent-based models to uncover meaningful patterns, trends, benchmarks, and key drivers Partner with technical experts and leverage new technologies in data science, GenAI, and agent-based frameworks to implement robust analytical approaches Survey \& Tool Development Design, program, test, and continuously enhance interactive surveys and reporting tools, with an emphasis on automation and process innovation Collaborate with internal and external developers for deploying survey instruments and creating user-friendly reports and analytics platforms Reporting \& Communication Distill analytical findings into actionable insights and provide guidance to stakeholders for interpreting results Develop engaging visualizations and utilize storytelling techniques to communicate complex concepts and research results to both technical and executive audiences, including GenAI-driven outputs Produce comprehensive reports and executive-level presentations that summarize study outcomes, methodologies, and recommendations Communicate and influence business audiences, ensuring research drives organizational impact Project \& Process Management Oversee end-to-end project management, including process documentation, deliverable tracking, quality reviews, and coordination of research activities Technical \& Subject Matter Excellence Demonstrate proficiency in research methods (survey design, sampling, psychometrics, analytics), data science tools (Python, SQL, R, SPSS, Excel, Qlikview, Tableau, Qualtrics), and key analytics/GenAI libraries Apply expertise in team effectiveness, workplace culture, organizational psychology, behavioral economics, motivation, leadership, and related areas to enrich research projects Remain current with emerging technologies and analytic methodologies, integrating innovative approaches to advance research impact Required skills Analytical mindset with innovative problem-solving and troubleshooting skills Results-driven, highly organized, attentive to detail, and adept at managing multiple projects simultaneously—both short- and long-term Good verbal and written communication skills in English Proactive team player who can work independently with a client-centric, meticulous approach Professional qualifications, work location, and timings : Post graduate degree in quantitative social science (e.g., psychology, organizational behavior, sociology, or behavioral economics) with a focus on statistics, research methods, psychometrics, or data science 3 – 5 years of relevant experience : Hyderabad : 2:00 pm-11:00 pm IST * : Hybrid (between work from office \& home) How you will grow At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients’ most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India. Benefits to help you thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 320944

Cat Digital/Cat Technology – Data Scientist/Technical Analyst

Career Area: Technology, Digital and DataJob Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Are you passionate about technology and eager to make a mark in the data science/technical analyst field? We are looking for enthusiastic individuals who are ready to embark on an exciting career at Caterpillar. Whether you are a recent graduate or someone looking to pivot into a new career, we offer a dynamic and supportive environment where you can grow and thrive. Cat Digital is the digital and technology focused organization within Caterpillar, Inc. Our global team is responsible for bringing digital capabilities to Caterpillar’s world-famous yellow iron. Working with your yellow partners and Cat Dealers, we execute key components of digital and marketing portfolios, including global marketing \& brand, connectivity, enterprise data, analytics and AI, equipment management, eCommerce, digital marketing, rental \& used digital solutions, and aftermarket leads \& insights. Cat Technology is transforming the way our customers work – not just by building smarter machines, but by delivering integrated, scalable solutions that deliver real-world outcomes. We collaborate with partners across the enterprise to advance technologies including autonomy and automation, which helps enhance site safety, productivity and efficiency across customer operations worldwide. Cat Technology owns enterprise-wide initiatives in innovation, research and development, manufacturing automation and advanced materials, ensuring Caterpillar continues to lead the industry in technological excellence and engineering innovation. About the Role As a Data Scientist / Technical Analyst Professional, you will be responsible for sourcing data from various internal and external sources, gathering essential customer requirements, and applying relevant digital technologies. You will also communicate with internal customers, team members, and stakeholders, respond to routine information requests, and provide support to your teams. What You Will Do As a data scientist / technical analyst you may: Develop models to power asset management solutions for customers and dealers using machine learning, deep learning, and statistics-based/physics-based analytics techniques on time-series sensor data, machine fault codes, inspections and analysis records to identify health anomalies, predict equipment failure modes, estimate remaining useful life, and build equipment risk models Evaluating emerging technologies by evaluating new product services and technology platforms Utilize Generative AI to develop and implement solutions, encompassing model training, evaluation, and selection. Engage in Prompt Engineering by fine-tuning AI models, developing new models, creating agents, assistants, and chatbots Ensure long-term connectivity through strategic planning and execution, including global telematics device programs. This involves testing, research, and analysis of cellular, satellite, Wi-Fi, Bluetooth, and other on-board and off-board technologies Provide digital technical support for essential Caterpillar digital applications and products What You Will Have - Skills and Experiences Business Statistics: knowledge of statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions Accuracy and Attention to Detail: understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision Analytical Thinking: knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems Machine Learning: knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services Programming Languages: knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages Query and Database Access Tools: knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use Requirements Analysis: knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required businessfunctionality and non-functionality requirements to ensure the success of a system or software development project Top Candidates May Have: Bachelor’s degree or higher in data science, computer engineering, electrical engineering or related degree (selected candidates must complete their degree by their start date) 0-2 years of relevant experience related to this field (internships or academic projects are a plus) Minimum cumulative GPA requirement 3.0/ 4.0 (no rounding) Demonstrated strong problem-solving skills and the ability to work effectively in a team environment Additional Information Ideal for those building foundational skills in data science/technical analytics, generally within the first 24 months of their career Locations for this position are typically Chicago and Peoria Illinois. Limited opportunities in Dallas, Texas Basic relocation may be available, depending on relocation qualifications Sponsorship is NOT available for this position Summary Pay Range: $89,210.00 - $144,960.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. Medical, dental, and vision benefits\ Paid time off plan (Vacation, Holidays, Volunteer, etc.)\ 401(k) savings plans\ Health Savings Account (HSA)\ Flexible Spending Accounts (FSAs)\ Health Lifestyle Programs\ Employee Assistance Program\ Voluntary Benefits and Employee Discounts\ Career Development\ Incentive bonus\ Disability benefits Life Insurance Parental leave Adoption benefits Tuition Reimbursement These benefits also apply to part-time employees Relocation is available for this position. Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at www.caterpillar.com/careers.Posting Dates: January 26, 2026 - March 24, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community.

Senior Product Data Scientist (Analyst)

Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. <span style="font-family: