Senior data analyst- jobs in San Jose, CA - 1,457 jobs

A leading people intelligence company in California is seeking a deeply technical Staff Data Scientist to join their Modeling & AI team. This role involves architecting sophisticated machine learning solutions and collaborating with customers to develop predictive models. The ideal candidate will have at least 7 years of industry experience, mastery of Python and SQL, and a strong background in data engineering and machine learning. Competitive salary range is $200,000 - $230,000 annually, with additional equity. #J-18808-Ljbffr

San Francisco, CA, Washington, D.C., New York City, N.Y., Remote (USA) The ideal candidate is interested in working from any of our offices (Silver Spring, NYC, SF, Miami, Denver) 1-2x per week. Rocket Money's mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. Data Scientists at Rocket Money advance our mission by building internal and external products that strengthen customer relationships across our financial offerings. We work closely with product and engineering teams to test the effectiveness of features that help customers understand, track, and improve their personal finances. Data Scientists also enhance growth operations through ML‑powered personalization during onboarding, modeling customer lifetime value, and estimating the relationship between marketing operations and user acquisition outcomes. We seek team players who excel at cross‑team collaboration, use data to shape strategy, and deliver solutions effectively within cross‑functional teams. While Data Scientists primarily focus on model development, data preparation, and experimental testing + design, they also contribute to system architecture, design, deployment, and evaluation. Rocket Money is looking for a Senior Data Scientist to drive marketing efficiency, attribution, and experimentation efforts through the use of tools like customer lifetime value modeling, media mix attribution modeling, and causal impact assessments of marketing strategies. This role will also lead product scientific experimentation program efforts, including building tooling and processes for self‑service product and CRM experimentation. Lead internal marketing effectiveness measurement and estimation approaches. Be responsible for leading projects from start to finish - making key decisions on both implementation and scope while balancing technical and business goals and working with stakeholders to implement operational change. Design and conduct experiments to estimate the impact of marketing and product strategies. Create scale by leading a systematic marketing and product experimentation program. Contribute to product experimentation via expert level experimental design, assessment, and collaboration with product managers. Work with data engineering and analytics teams to build scalable and durable machine learning to data analytics pipelines that enable marketing and product experimentation operations. Optimize to continuous product feedback loops - you understand that data product development is the practice of a continuous lifecycle of measurement, analysis, modeling, and hypothesis testing. You understand how to build, test, and deliver internal facing predictive tools. You understand how to effectively design and assess experiments for a variety of user facing experiences. Maintain a high technical bar by mentoring other members, participating in code reviews, and ensuring quality in production systems. Level up others around you via effective technical mentoring. Work with engineering teams to design and architect predictive feedback mechanisms for digital ad networks and add new features to our in‑house experimentation engine. Be on the cusp of new developments in marketing data science tech and drive operational changes in marketing that are cutting edge. Create scalable approaches and tooling that allow others on the data team to undertake product experimentation without your direct input. In this role, you will focus on the following types of problems: Collaborate closely with Product, Marketing, and Engineering teams to define marketing measurement and optimization strategy and build internal predictive tools. Build the next generation of Rocket Money's customer lifetime value models and integrate into the operational decision making and optimization of our marketing portfolio. Level up our product experimentation program. Rigorously design experiments to assess the effectiveness of product experiences. Reassess baseline approaches and strategies. Create tooling to enable self‑service experimentation by teams of data analysts. 6+ years of professional experience in data science, with proficiency in SQL, at least one scripting language, statistical modeling, and engineering scalable experimentation solutions. Expert level experiment design and assessment skills. You have direct experience building production grade tooling for operational use by teams of internal decision makers. You know how to drive marketing and product strategy with experimental and observational data and build the tools that can implement it at the tactical level. You've worked with engineering teams to design optimal feedback signals between applications and ad networks or build experimentation platforms. You are a team player with a proven ability to collaborate across teams and communicate technical insights effectively, driving alignment with marketing strategy and operations. You care about products, not publications. Solving business problems is your primary goal. We love recovering academics that aren't looking in the rearview. You care just as much about why you're solving a problem as the solution. You always want a deep understanding of context and business impact. You are a data scientist first but an expert analyst when necessary. Excellent writing, presentation, and communication skills. Documenting, soliciting feedback, and securing alignment among collaborators is second nature. Deep experience in several of the following in a professional capacity: customer segmentation, customer lifetime value modeling, A/B testing and causal inference, media mix modeling. Experience in fintech, banking, or finance is a plus. Life Insurance Long/Short Term Disability Competitive Pay 401k Matching Team Member Stock Purchasing Program (TMSPP) Daily Lunch, Snacks & Coffee (in‑office only) Commuter benefits (in‑office only) Additional information: Salary range of $180,000 - $220,000 /year + bonus + benefits. Base pay offered may vary depending on job‑related knowledge, skills, and experience. Rocket Money, Inc. is an Aff… All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

A leading health technology company in Mountain View is seeking a Senior Data Scientist to drive innovation in evidence generation for healthcare. This role involves building longitudinal datasets and implementing advanced machine learning models using real-world data. Candidates must have a strong background in data science and experience with healthcare data, particularly EHRs. The role offers a competitive salary, benefits, and the opportunity to impact health outcomes positively. #J-18808-Ljbffr

A leading travel technology company is seeking a Senior Data Scientist to join their Marketplace Data Science team. The role involves building data products and inference frameworks to enhance marketplace growth. Candidates should have over 5 years of relevant experience or 2+ years with a PhD, strong skills in Python or R and SQL, and a solid background in economics. This position offers remote eligibility and a competitive salary range between $177,000 and $208,000 annually. #J-18808-Ljbffr

About Gigs At Gigs, we're building the operating system for mobile services-a platform that lets tech companies embed global connectivity into their products effortlessly. Just as Stripe lets any business add a payment button in seconds, Gigs empowers platforms to weave in connectivity-bridging the traditional world of telecom with modern tech. From fintechs launching mobile services to HR platforms offering work phone plans, we automate provisioning and remove telecom complexity. Our team of around 100 people across the US and Europe, backed by nearly $100 million in funding from Ribbit Capital, Google, and Y Combinator. As one of the fastest‑growing tech companies, bringing together early‑stage engineers, product builders, and business athletes from companies like Stripe, Airbnb, and Shopify. We're tackling deep technical and regulatory challenges to make connectivity truly seamless. If you're driven by curiosity, creativity, and the chance to shape the future of telecom, we'd love to hear from you. The Role As a Senior Data Analyst, you'll be a foundational part of our data team - shaping how data is modeled, shared, and turned into insight across the company. You'll join a team of 3 spread across data engineering, analytics engineering and insight generation. This will be the second dedicated Senior Data Analyst in the team. What You Will Do Collaborate cross‑functionally with teams like Finance, Growth, Product, and Operations to understand their needs and ensure data is actionable and impactful. This could mean delivering a dashboard, an insight, or a data model powering automation. Be a thought partner on how we define core metrics, track business performance, and build trust in data across Gigs. Empower internal teams by leveling up power users and educating data consumers, through clear communication, thoughtful documentation, stakeholder collaboration, and occasional training sessions. Build the analytics content that matters, both internally and externally. You'll work with the Product team to identify key customer‑facing metrics and play a crucial role in delivering those insights via dashboards and data products. Not every data point is available yet. We all work end to end. Work with product to define new data points, translate messy source data into clean, reliable models that power dashboards, metrics, and product decisions. You will work with a modern event‑based data platform across Bigquery, Fivetran, dbt, dagster, Lightdash and Hex. What We Are Looking For 8+ years of experience in analytics with a focus on end‑to‑end delivery. Having worked closely with Finance stakeholders, Product in a B2C context (to support customer launches and ongoing implementations) or experience with customer‑facing data products are strong plus points. A strong understanding of data modeling best practices (e.g. dimensional modeling, testing, documentation). Skilled at building alignment and managing expectations with both technical and non‑technical stakeholders. Experience translating complex business requirements into well‑structured data pipelines and models. Familiarity with Git, CI/CD, Python and strong SQL. A product mindset: you care about usability, performance, and building for scale. You see the content you deliver as a product and are interested in having those being used. This is not your first rodeo. You have worked in small and early data teams, grown along side them and worked in larger teams and data platforms. You've seen what works and doesn't in both and are looking to apply this in your next role. Clear communicator - you can work cross‑functionally and explain complex topics to non‑technical stakeholders Strong bias for action: You move quickly, deliver incrementally, and aren't afraid to ship v1. You identify what's missing and work with stakeholders to fill the gaps. Experience working in fast‑moving startups or remote‑first teams is a plus. Before You Apply The truth is, what we're building isn't easy. We expect a lot, and operate with urgency and ownership. This won't be the right place for everyone, and that's okay. This role probably isn't a fit if: You need a lot of structure, or layers of process to do your best work You prefer to specialize narrowly and wait for direction rather than taking initiative You're uncomfortable making decisions with imperfect information or wearing multiple hats You're looking for a “big company” setup - we're still building many things for the first time But if you're excited by the idea of building from zero, working with passion, and leaving your mark on something that matters - we'd love to meet you. Work at Gigs At Gigs, we know that different work styles and teams thrive in different environments. Some work best remotely, while others rely on in‑person collaboration to spark creativity and drive execution. We're remote‑friendly by design, but we also offer hubs for those who need the energy and focus that only in‑person collaboration can bring. Gigs Pads: Our hubs in San Francisco, London, Amsterdam, and Berlin are vibrant spots where Gigsters connect, collaborate, and create together. Gigs Republic: Twice a year, our entire company comes together to strengthen bonds, align on big ideas, and share experiences that fuel our culture and ignite growth. What We Offer At Gigs, we believe in rewarding excellence. We offer competitive compensation and stock options because we see you as a true partner in our growth. We also provide stipends for your home office or work setup, a budget for learning and development to fuel your career, and of course, a free phone and international data plan. Want to learn more about our benefits, hubs, and what it's like to work at Gigs? Check out our Careers page. #J-18808-Ljbffr

To help keep everyone safe, we encourage all applicants to pay close attention to protect themselves during their job search. When applying for a position online you are at risk of being targeted by malicious actors looking for personal data. Please be aware we will only reach out via email using the domain quanata.com. Anything that does not match those domains should be ignored and considered a security risk. Job Summary We are looking for a Senior Data Scientist to be the strategic anchor for a functional team, translating ambiguous business challenges into powerful, end‑to‑end machine learning solutions and taking ownership of the data science lifecycle. Responsibilities Drive Full‑Cycle Solutions: spearhead high‑impact modeling projects from initial question to deployed solution, framing the problem, designing experiments, selecting evaluation criteria that connect to business value. Engineer the MLOps Backbone: build and own automated systems for model retraining, monitoring, and alerting; implement robust pipelines and CI/CD processes that ensure service stability. Elevate the Team: mentor junior data scientists, lead knowledge‑sharing sessions, and champion best practices to raise team standards. Influence Business Strategy: translate complex technical concepts into clear insights for non‑technical audiences, providing recommendations that directly shape functional priorities. Qualifications Relevant degree or equivalent experience, and 10‑12 years of data science work. Production‑grade proficiency in Python and SQL; mastery of multiple data science libraries and clean, scalable, well‑tested code. Proven track record of designing robust experimental frameworks and validation strategies. Business acumen - ability to turn vague challenges into well‑defined projects with clear success metrics. Mentorship mindset - natural teacher and collaborator who elevates others. Bonus Points Advanced credentials such as a PhD in a quantitative discipline or an actuarial designation (or progress toward one). Open‑source contributions - demonstrated track record of contributing to or maintaining widely used analytical libraries. Salary $250,000 to $400,000, depending on skills, experience, and internal salary structure. Our goal is a competitive and equitable compensation package. Benefits & Perks Health, dental, vision, life insurance and supplemental income plans. Headspace app subscription, monthly wellness allowance, and 401(k) with company match. Work‑from‑home equipment stipend of $2K for home office setup. Paid time off: four weeks PTO in first year; twelve weeks paid parental leave for new parents. Personal and professional development: up to $5,000 per year for learning, LinkedIn Learning subscriptions, Coaching via BetterUp. Location & Work Hours Remote‑first company; work from anywhere in the U.S. (excluding U.S. territories). Core meeting hours 9 AM - 2 PM Pacific time. Equal Employment Opportunity Statement Quanata, LLC is an equal‑opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. If you are a San Francisco resident, please read the City and County of San Francisco's Fair Chance Ordinance notice: *********************************************************************************************** This role is employed by Quanata, LLC, a separate company in the State Farm family of companies. If you require a reasonable accommodation, please reach out to your Talent Acquisition Partner for assistance. #J-18808-Ljbffr

A leading financial technology company is seeking a Risk & Payments Data Scientist located in the San Francisco Bay Area. This role focuses on shaping the product roadmap through collaboration with Product Managers, driving experimentation initiatives, and implementing KPIs for the payments team. The ideal candidate will have a solid background in machine learning and risk analysis, aiming to improve payment processes and drive business growth. Competitive salary and robust benefits offered. #J-18808-Ljbffr

A VC-backed AI product intelligence platform is seeking a Senior Data Scientist to enhance foundational data science infrastructure, focusing on building and optimizing data pipelines across SQL/NoSQL systems. This role involves collaboration with experts to analyze user behavior, design experiments, and generate insights. The ideal candidate will have strong proficiency in Python and experience in ML frameworks. This position is located in San Francisco and promises to deliver impact quickly through innovative solutions. #J-18808-Ljbffr

A financial wellness platform in San Francisco is seeking a Data Science leader to optimize risk strategies through advanced analytics and machine learning. The role requires a strong background in analytics and at least 8 years of experience with SQL or Python. You will collaborate with various teams to design and implement strategies that enhance approval and portfolio performance while minimizing losses. This position provides competitive perks including comprehensive health benefits and flexible PTO. #J-18808-Ljbffr

Role Summary: We are seeking a highly skilled and experienced Computer Scientist to join our dynamic team, focusing on the development, optimization, and application of Large Language Models (LLMs). The ideal candidate will have a proven track record of working on LLM projects, with extensive experience in implementing Retrieval Augmented Generation (RAG) models, utilising the LangChain framework, and optimizing LLM performance for various applications. Key Responsibilities Design and implement Retrieval Augmented Generation (RAG) models to enhance the performance and accuracy of LLMs. Utilize the LangChain framework for building efficient LLM workflows. Develop methods for chunking and embedding non‑structured and structured databases, storing these in vector databases such as Pinecone. Conduct vector similarity searches to improve information retrieval processes. Employ the llmware framework for citations and source verification, ensuring the accuracy of LLM responses by comparing them with source data. Generate knowledge by prompting separate LLMs to produce information, aiming to improve overall LLM performance. Possess in‑depth knowledge of all main proprietary LLMs, including GPT‑3, GPT‑3.5Turbo, GPT‑4, GPT‑4Turbo, Claude 1, Claude 2, Llama, etc. Apply advanced prompt engineering techniques such as Chain of Thought, Zero‑shot CoT, Self Consistency, Least‑to‑most, AutoPrompt, Prefix Tuning, Prompt Tuning, and P Tuning to refine LLM outputs. Ensure security measures, including encryption in transit and at rest, are upheld. Optimize LLM performance through caching, efficient API calls, and cloud infrastructure optimization. Mandatory Skills: LLM, RAG, Gen AI, Statistics, NLP Apply Now Personal Information Work Experience Short summary of the job: A sales job for smart people and canlearn quickly new industries management practices. You will bein charge of the full sales cycle from the opportunityqualification to the negotiation, going through astonishingproduct demos. Responsibilities Full sales cycle Achieve monthly targets Full sales cycle Achieve monthly targets Must Have Full sales cycle Achieve monthly targets What's great in the job? No outbound calls, you get leads and focus on providing value to them You sell management software to directors of SMEs: interesting projects and people Direct coordination with functional consultants for qualification and follow ups PTOs Vacation, Sick, and paid leaves Save on commute Pre-tax commuter benefits (parking and transit) Discount Programs Brand‑name product and services in categories like travel, electronics, health, fitness, cellular, and more Only a couple blocs from BART, Caltrain, Highway 101, carpool pickup, and Bay Bridge. Sponsored Events Tuesday Dinners, Monthly Lunch Mixers, Monthly Happy Hour, Annual day event Sport Activity Play any sport with colleagues and the bill is covered Eat & Drink Peet's and Philz coffee provided all day to order and pantry snacks #J-18808-Ljbffr

About Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can't get to a doctor's office. For many, the ER becomes their first touchpoint with the healthcare system-driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we've supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway. Data is core to how we deliver care, allocate clinicians, and understand population risk-and we're now building the team to scale that impact. About the Role We're hiring a Senior / Staff Data Scientist to tackle high-impact problems across logistics, patient behavior, clinical operations, and population health. This is a 0→1 role where your work directly shapes how care is delivered, optimized, and scaled. You'll turn messy, real-world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes. If you like asking hard questions and using data to solve problems that matter in the real world, this is that opportunity. Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work-life balance and understand that there will be times where flexibility is needed. What you will do Explore clinical, operational, and patient engagement data to surface actionable insights Analyze routing, capacity planning, and supply-demand dynamics across regions Identify drivers of preventive care engagement and patient follow-through Predict cancellations, risk, and future care needs using behavioral and clinical signals Design and evaluate A/B experiments across product, growth, and operations Support internal teams with dashboards, analytics, and ad hoc decisions Help shape the Data function's standards, tooling, and processes as an early leader What you have done 5+ years in data science, advanced analytics, or applied data modeling Worked with large, messy datasets to answer ambiguous, high-stakes questions Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar Written high-quality SQL across warehouses like BigQuery, Snowflake, or Redshift Influenced product, ops, or strategy decisions through data insight and storytelling Presented findings to leadership and collaborated with cross-functional teams What gives you an edge Experience with Python, Pandas, Scikit-learn, or ELK (Elasticsearch + Kibana) Exposure to GCP data tools like BigQuery, DataFlow, or DataForm Familiarity with healthcare data (claims, HL7, CCDAs, HIEs) Experience with logistics, routing, or operational optimization problems Designed or analyzed growth experiments or user behavior funnels Communicated insights to C-level stakeholders or mentored junior talent Our Tech Stack Python SQL Superset, Looker, Tableau, Grafana BigQuery, Snowflake, Redshift Elasticsearch / Kibana FHIR, HL7, claims data (bonus) Pandas, Scikit-learn, DataForm, DataFlow What we offer Meaningful pre-IPO equity Medical, dental, and vision plans 100% paid for you and your dependents Flexible PTO + 10 paid holidays per year 401(k) with match 16-week parental leave policy for birthing parent, 8 weeks for all other parents HSA + FSA contributions Life insurance, plus short and long-term disability coverage Free daily lunch in-office Annual learning stipend $180,000 - $230,000 a year Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes. Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending **********************. Please ensure that you're only replying to emails that end ************************. #J-18808-Ljbffr

A leading AI research firm based in San Francisco is seeking a hands-on technical leader to manage a team focused on developing forecasting capabilities. This role demands collaboration with various stakeholders to ensure the integration of forecasting insights into strategic decision-making. Ideal candidates have extensive experience in data science, demonstrate excellent communication skills, and hold an advanced degree in a quantitative field. The position follows a hybrid work model and offers competitive compensation. #J-18808-Ljbffr

A leading technology company is seeking a Data Architect in San Jose, California. The role involves building and maintaining data infrastructure for ML products, managing data pipelines, and ensuring data quality for AI security applications. The ideal candidate has over 8 years of experience and a strong background in backend datastores, programming, and SQL. Competitive salary and diverse benefits are offered. #J-18808-Ljbffr

At Banking Soft Solutions (BSS) LLC, our mission is to launch a new Cryptocurrency exchange called ‘Marai-X'. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging on-chain platform - and with it, the future global financial system. Our team is dedicated to eliminating customer pain points, resolving the current challenges of existing Cryptocurrency exchanges such as weaker protection against hackers, making users keep assets on the exchanges, and high transaction fees. To achieve our mission, we're seeking a very specific candidate. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high-caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. As a Data Architect, you will serve as a Backend DB and Interface Architect for specific modules in the cryptocurrency exchange. Aligned with our mission to deliver outstanding support, you will work closely with developers, software programmers, and QA testers to ensure compliance with audit requirements, generate actionable insights, and share key findings with stakeholders. You'll have the opportunity to work on a high-impact project in the trillion-dollar Cryptocurrency market. We're not just building systems; we're creating a scalable, high-performance exchange that makes a real difference in the crypto world. We prioritize design quality, customer focus, and rapid iteration. Please note that this role is expected to report onsite at our corporate office in San Jose, CA. We are looking to fulfill 2 positions for this same role. Your Role and Responsibilities: Design a centralized Crypto Currency Exchange (Marai-X) with a web interface, admin dashboard, mobile apps, and trading engine. Design features including onboarding, crypto wallet, charts, order book, transaction history, and portfolio analytics. Design crypto staking, cold wallet integration, credit card integration, P2P crypto trading, KYT practices, exchange token, and API endpoints. Collaborate with engineering leaders to define crypto exchange visions and translate them into technical roadmaps. Lead the design and review of new and existing system architecture. Conduct deep research into current platforms and identify areas for optimization. Create documentation, diagrams, and presentations to communicate architectural strategies. Mentor and coach developers to cultivate technical leadership. Architect integration patterns for Developer Platforms and test environments. Develop technical standards, blueprints, and design patterns for internal tools. Implement developer-focused solutions like portals and API gateway integrations. Evaluate strategic architecture investments and technologies. Prioritize scalability, security, traceability, and observability in designs. Guide technology investment decisions aligned with industry standards. Apply organizational principles such as Conway's Law to system design. Lead cross-functional architecture reviews and maintain design records. Support teams in incident management and RCA processes. Collaborate to reduce inefficiencies and redundant development efforts. Mentor teams and advocate engineering excellence and innovation. Communicate technical concepts clearly across all stakeholder levels. Develop with blockchain tools, smart contracts, and decentralized platforms. Drive architectural decisions in a fast-paced startup environment. Qualifications: Education: 4-year bachelor's degree in a relevant field or 3 years of relevant work experience. Creativity, pragmatism, and empathy in solving technical and business challenges. A love of technology and a growth mindset. Strong communication skills in written, verbal, and visual formats. Experience designing large-scale, complex software systems with strategic outcomes. Proven ability in mentoring engineers and developing talent. Experience with high-volume platforms, cloud technologies, and modern architectures. Strong knowledge of systems design, distributed systems, and enterprise architecture. Core Competencies: Mission-driven: Commitment to BSS's mission and enhancing customer experience. Problem solver: Strong analytical and solution-oriented mindset. Expert calibrator: Skilled in communication, negotiation, and alignment handling. Project management: Ability to manage and execute architecture-focused projects. Reporting management: Skilled in dashboards, documentation, and presentations. Stakeholder management: Able to engage and influence across the organization. Time management: Excellent prioritization and deadline management. Nice to Haves: Familiarity with crypto exchange or banking systems. Knowledge of AI capabilities for developer productivity. Expertise in Solidity, Rust, or Move. Backend skills in Node.js, Go, or Python. Proficiency in Web3.js, Ethers.js, or Polkadot.js. Experience with Ethereum, Hyperledger, or Solana. Knowledge of cryptography, consensus, and layer-2 solutions. Experience with Docker, Kubernetes, AWS, or GCP. Understanding of blockchain security practices. Prior supervisory or team leadership experience. Background in customer support or account management. Basic knowledge of cryptocurrency and change management. #J-18808-Ljbffr

A leading streaming technology company in San Jose is seeking a Sr. Data Scientist to support recommendations and personalization products. You'll leverage data analytics to identify trends, mitigate risks, and provide actionable insights while collaborating closely with product management and engineering. The ideal candidate has over 5 years of experience in data science and is proficient in SQL, Python, and A/B testing. This role offers competitive compensation and a comprehensive benefits package. #J-18808-Ljbffr

About the Company: World is building a real human network designed to accelerate people in the age of AI. As bots and autonomous agents reshape the internet, people, institutions, and applications need a trusted way to confirm who is a real human while preserving privacy. Our products make this possible: the Orb verifies real people, World ID proves it privately, and World App enables and distributes the new applications made possible by this technology. Together, they form a new layer for AI internet. We're one of the fastest-growing networks in tech. More than 17 million people across 160 countries have verified with World ID, and we complete over 350,000 verifications each week. World App is already among the most used wallets globally. Developers are integrating World ID to build safer online experiences and create spaces where real people can participate, earn, and be recognized in ways AI simply can't replicate. World was founded in 2019 and launched globally in 2023. We are more than 400 people across hardware, software, AI, cryptography, mobile engineering, and global operations. Our teams come from OpenAI, Tesla, SpaceX, Apple, Google, Stripe, Meta, Coinbase, Palantir and MIT Media Lab. We're backed by leading investors, including a16z, Khosla Ventures, Bain Capital Crypto, Blockchain Capital, Variant, Tiger Global, and Coinbase Ventures, as well as prominent operators and founders across fintech and AI. World has been featured on the cover of TIME Magazine, highlighted in Fast Company's Next 5 in Fintech, and explored in a Bloomberg deep dive. New York Times, Bankless and TechCrunch have all recognized our progress in identity, cryptography, AI, and global-scale hardware deployment. Our leadership is also named to the Time AI 100. About the Team Systems & Delivery is the engine inside Central Ops. We design and land the workflows, tools, and processes that make the World project run reliably across every market. We work closely with Product, Market Ops, T&S, and Data teams to translate strategy into real-world execution at speed and scale. About the Role We're looking for a Systems & Delivery Lead who can turn operational chaos into dependable, scalable systems. This role owns the back-office workflows that power Orb operations worldwide: payments, token transactions, operational tooling, and new initiative rollouts. You'll work across functions to ensure clarity, consistency, and adoption. You'll build tools, shape processes, run pilots, write PRDs, and drive global implementation. This is both strategic and hands‑on. If you enjoy building the operational backbone of a global network, this role is for you. What you will do Own the Ops Systems Roadmap and priority workflows end-to-end Lead implementation of new tools and processes across all markets Collaborate with Product on PRDs and feature requirements Manage workflows related to payments, cost attribution, and token transactions Run pilots and tests; gather insights; iterate quickly Deliver clear documentation, comms, and rollout plans Build dashboards and feedback loops with Data Engineering Support experiments and convert learnings into scalable playbooks About you 7-10 years in operations, systems, or technical program management Track record of shipping processes and tools in fast-paced environments Strong analytical and systems‑thinking skills Experience drafting PRDs and collaborating with Product Comfort with ambiguity and willingness to dive into field-level details Excellent communicator who drives alignment across functions Pay transparency statement (for CA and NY based roles): The reasonably estimated salary for this role at TFH ranges from $190,000 - $240,000, plus a competitive long-term incentive package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, TFH offers a wide range of best-in-class, comprehensive, and inclusive employee benefits for this role, including healthcare, dental, vision, 401(k) plan and match, life insurance, flexible time off, commuter benefits, professional development stipend, and much more! By submitting your application, you consent to the processing and internal sharing of your CV within the company, in compliance with the GDPR. #J-18808-Ljbffr

Platform Architect / Data Architect - 6‑12 month contract, on‑site in San Francisco, CA. Pay rate TBD. This role focuses on data architecture, data governance, and cloud‑based data platform modernization. Key Skills Data architecture and data modeling (conceptual, logical, physical) Cloud platforms (AWS, Azure, GCP) Data governance, security and compliance frameworks Data lakes, data warehouses, and data lakehouse integration Responsibilities Define and implement enterprise‑wide data architecture standards and best practices. Develop conceptual, logical, and physical data models for complex systems. Drive modernization initiatives, including migration to cloud‑based data platforms. Evaluate and recommend tools, technologies, and frameworks for data management. Architect solutions leveraging cloud platforms (AWS, Azure, GCP), data lakes, and data warehouses. Ensure integration of structured and unstructured data sources. Establish data governance policies, security standards, and compliance frameworks. Implement data quality, lineage, and metadata management processes. Partner with business stakeholders, data engineers, and analytics teams to align architecture with business goals. Mentor junior architects and engineers on best practices and emerging technologies. Evaluate new and emerging technologies and assess their potential use for clients. Qualifications Experience as a performance architect or equivalent data architecture leadership role. Additional Information Freelance data hiring powered by an engaged, trusted community-not a CV database. #J-18808-Ljbffr

A leading technology company is seeking a Compute-focused Site Reliability Engineer in San Francisco, California. This role is essential for developing sustainable, AI-driven cloud solutions, ensuring performance and security. Candidates should have over 5 years of experience in SRE or system engineering, with strong Linux kernel and virtualization skills. The compensation range is competitive, including additional benefits like restricted stock units, health insurance, and a 401(k) match. #J-18808-Ljbffr

As a Tech Venturing & Innovation Sr. Analyst you will need to be at the forefront of cutting‑edge technologies. You will need to develop new partnerships across the organization and with external partners to build future capabilities together for PepsiCo's operation. You will drive the startup research, analysis & evaluations and lead the rapid pilot onboarding process. Responsibilities Lead cross‑functionally execution of strategic tech innovation programs across Marketing functions, Digital Commerce, AFH (Away-From-Home), and Strategy & Transformation organizations: Streamline working processes with support functions such as EA (Enterprise Architecture), Info Security, Legal, Finance, etc. Partner with project leaders to create project deliverables Develop briefs for new technical capabilities Evaluate startups or other solutions using data‑based approaches and drive the cross‑functional selection process Lead the rapid pilot onboarding process and own vendor management Lead the startup use case research, analysis & evaluation of solution fit to use case Be the face of PepLabs; act as the “eyes and ears” for the organization to source the best emerging tech solutions Build use case assessment criteria to systematically evaluate which startup's technology & overall solution has potential to solve the use case Assess competencies vs. Use case Engage & coordinate cross functional SMEs input to assessment criteria Provide process and pilot thought partnership to business partners and Senior Executives Maintain an external mindset, including staying on top of consumer, competitive, and macroeconomic / technology trends Lead project management across the team and support governance and reporting Contribute to capability building for the entire PepsiCo Labs function (e.g., Training, Knowledge Management, Process documentation, etc.) Manage and coordinate logistics for sector, functional and Labs program meetings with internal and external participants Compensation and Benefits: The expected compensation range for this position is between $76,400 - $127,850. Location, confirmed job‑related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. Bonus based on performance and eligibility target payout is 8% of annual salary paid out annually. Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications Experience/exposure in technology and digital innovation Knowledge of PepsiCo's businesses Experience in Consumer and/or Commercial functional areas a bonus, e.g., Marketing, Insights, Digital Commerce, Sales Proficient in Microsoft Outlook, Word, Excel, and PowerPoint with the ability to learn new tools quickly Strong teamwork, professionalism, and interaction with all management levels Effective communication skills, strong collaboration skills and an impeccable standard of excellence Results‑driven with timely task completion Ability to handle multiple priorities, including the ability to make clear and timely decisions Self‑motivated and goal‑oriented Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity #J-18808-Ljbffr