Senior data analyst- jobs in Cherryland, CA - 1,531 jobs

A healthcare technology company in San Francisco is looking for a Senior / Staff Data Scientist to improve patient care through data insights. You will work on logistics, patient behavior, and clinical operations using large datasets. The ideal candidate has over 5 years of experience in data science, proficiency in SQL and Python, and a passion for making a difference in healthcare. This position offers a competitive salary and a hybrid work model. #J-18808-Ljbffr

A leading fintech company in San Francisco is seeking a Senior Data Scientist to optimize marketing strategies through data analysis and experimentation. The ideal candidate will have over 6 years of experience in data science, along with strong skills in SQL and experiment design. This role involves designing internal predictive tools and collaborating across multiple teams to implement insights that improve marketing effectiveness. Competitive salary and benefits offered. #J-18808-Ljbffr

About RDC.AI What started in 2016 with five people and two chairs has become a global force transforming how banks lend, grow, and protect their portfolios. RDC.AI helps business and commercial bankers know more, do more, and grow more by turning complex data into actionable intelligence. Our platform uniquely combines predictive and agentic AI to deliver transparent, explainable insights across the entire lending lifecycle from origination to monitoring. With built-in AI assistants and clear rationales for every recommendation, we empower banks across the globe to make confident decisions faster, launch innovative products, and generate tens of millions of dollars in measurable value. We're not just building AI - we're pioneering the future of intelligent banking, where every decision is explainable, every insight is actionable, and every outcome real impact. Join the AI RevolutionAward-Winning Innovation Winner: The Digital Banker's 2025 Global AI Innovation Awards (Best AI-Powered Platform) Two-time finalist: American Chamber of Commerce Alliance Awards (Advanced Capabilities category) Cutting-EdgeTechnology Building agentic AI solutions that solve real world banking problems Wearelive in major banks, making millions of decisions, generating tens of millions in value Highest security accreditations: SOC2 Type 2 and ISO 27001 certified 5-Star Employer Experience Named "Best Companies to Work For" by HRD Australia (2023) High-performance teams working alongside industry-leading data scientists and credit experts Vibrant, innovative culture that celebrates wins and solves complex problems together Global Impact & Growth Fast-expanding presence across Australia, New Zealand, and North America Helping drive financial inclusion through fair, accessible, sustainable credit Opportunity to gain AIexpertiseand international experience in a rapidly growing market Work-Life Excellence Flexible working arrangements - workhow'sright for you Collaborative, agile environment where your contributions matter Be part of a missionthat'stransforming financial services globally RDC.AI North America offers: Competitive benefits package (80% of premiums paid by RDC.ai) 12 paid holidays 20 days PTO per year + 5 paid personal or sick days per year Paid Maternity/Paternity leave Ready to shape the future of intelligent banking? Join us.About the Role RDC.AI is a cloud native AI Decisioning company and the Data Science function is key to our organizational success. As we look to expand in North America, we are looking for a Senior Data Scientist to join our North America team. A Sr Data Scientist will work closely with our customers on developing AI/ML based solutions to solve complex credit-based decisions in the Business and Commercial lending space. Key responsibilities will include: Design, present & document AI-based initiatives to our clients, typically banking and risk executives. Develop use cases for clients with clear objectives and success criteria, matching our AI platform capabilities and client needs. Assist in developing data processing solutions and machine learning models to address the business objectives of our clients using RDC.AI platform. Assist in developing AI/ML based solutions to be deployed on the RDC.AI platform for clients across use cases in Business and Commercial lending within North America. Help mentor and train junior data scientists on RDC.AI methodologies, AI/ML best practices and credit risk modelling methodologies in the Business and Commercial lending space. About the CandidateEssential-Experience/Skills Bachelor's degree in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree. 5+ years of data science experience, ideally in credit risk or financial services. Experience developing and managing quantitative credit risk models including credit decisioning models. Programming experience in Python for 3+ years. Programming in SQL for 1+ years. Knowledge of data discovery, statistics, and data-driven model discovery, development, and validation, and tracking. Ability to learn and adapt to new or emerging modeling techniques (e.g., LLM, GenAI, LSTM, etc.) Experience presenting to technical, and non-technical stakeholders, including senior leadership. Excellent communication and client engagement skills. Ability to travel within North America (estimated 25% travel). Desired-Experience/Skills Advanced degree in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree. Experience with commercial and/or business lending. Experience working with traditional and non-traditional data sources such as transaction, accounting, and e-commerce data. Understanding the decision-making process behind the lending process. Experience in credit risk analysis, strategy design, and monitoring. Experience with additional programming languages is nice-to-have (e.g., Java, Scala, R, SAS, Perl, etc.) #J-18808-Ljbffr

About BayRock Labs At BayRock Labs, we pioneer innovative tech solutions that drive business transformation. As a leading product engineering firm based in Silicon Valley, we provide full-cycle product development, leveraging cutting‑edge technologies in AI, ML, and data analytics. Our collaborative, inclusive culture fosters professional growth and work‑life balance. Join us to work on ground‑breaking projects and be part of a team that values excellence, integrity, and innovation. Together, let's redefine what's possible in technology. We are seeking a highly experienced and expert Senior Data Scientist with a minimum of 6 years of hands‑on experience to lead the development and deployment of advanced machine learning solutions. The ideal candidate is an expert in predictive modeling, time‑series forecasting, and recommendation systems, with a strong focus on native and efficient ML development within the Snowflake Data Cloud (Snowpark). This is a critical MLOps role requiring deep expertise in managing the entire model lifecycle using tools like MLflow, and a proven ability to apply advanced modeling techniques, including reinforcement learning (RL), to solve high‑impact business challenges. Key Responsibilities Advanced Model Development & Leadership Design, develop, and implement production‑ready machine learning models for core business challenges, including: Prediction (e.g., customer churn, risk, conversion). Forecasting (e.g., demand, resource planning) using advanced time‑series methods. Recommendation systems (e.g., content, product matching). Lead advanced modeling initiatives: research, prototype, and implement cutting‑edge techniques such as reinforcement learning (RL) for sequential decision‑making problems (e.g., dynamic pricing, inventory optimization). Apply expert‑level knowledge of deep learning and other complex algorithms to drive innovation and competitive advantage. Lead the entire model development lifecycle, from ideation and feature engineering to deployment and monitoring. Native Snowflake ML & MLOps Excellence Snowflake native ML development: drive efficient and native ML development by utilizing Snowpark (Python, Scala, or Java) and Snowflake ML functions (e.g., FORECAST, Model Registry) for data processing, model training, and inference directly within the Snowflake Data Cloud. MLOps and production engineering: own and automate end‑to‑end ML pipelines, ensuring scalability, low latency, and high reliability. Implement rigorous model optimization and performance tuning to ensure maximum efficiency and minimal cost within the Snowflake compute environment. Utilize MLflow (or similar tools like the Snowflake Model Registry) for comprehensive experiment tracking, model versioning, and governance. Expertly leverage Snowflake for large‑scale data wrangling, feature engineering, and collaboration with data engineers to establish and integrate a robust, production‑ready feature store into the ML workflow. Conduct A/B testing and rigorous experimental design to scientifically validate the business impact of deployed models and features. Core Technical Expertise (Must Haves) Expert proficiency in Python and its data science ecosystem (Pandas, NumPy, scikit‑learn, TensorFlow, etc.). Expert proficiency in SQL and experience optimizing queries for cloud data warehouses. Deep hands‑on experience with Snowflake for data preparation and ML, including Snowpark. Proven experience with MLOps tools and practices, especially MLflow for model. Advanced expertise in implementing and tuning predictive models, time‑series, and recommendation systems. Practical experience in advanced modeling beyond classical ML (e.g., deep). Demonstrated experience with reinforcement learning (RL) algorithms (e.g., Q‑learning, policy gradients) and frameworks (e.g., Stable‑Baselines, Ray) for real‑world application. Experience with cloud computing platforms (AWS, Azure, or GCP) for #J-18808-Ljbffr

This is a hybrid role based in our Bay Area or Chicago offices and will require you to be in office Tuesdays and Thursdays. What's so interesting about this role? Grindr (NYSE: GRND) is the largest LGBTQ+ Social App in the world, used by over 14M+ monthly users in nearly every country in the world. We are a fundamental part of the global LGBTQ+ community and are a pillar in gay culture. As a Senior Data Scientist at Grindr, you'll partner closely with product managers, designers, and engineers to define meaningful metrics, design and analyze experiments, and uncover insights that inform product development. You'll contribute to data products and experimentation, and help shape how we use data to improve the user experience. This role is ideal for someone who is technically strong, curious, and eager to deepen their product thinking and analytical leadership. You'll be a valued member of Grindr's centralized Data organization, which brings together data scientists, data engineers, and ML/AI engineers into a collaborative team. You'll have the opportunity to grow your impact while learning from peers across disciplines. What's the job? Define and track key product metrics in collaboration with cross-functional partners Design, run, and analyze A/B tests to evaluate the impact of new features Perform data deep dives to explain trends and uncover actionable insights Communicate findings clearly to stakeholders and influence product decisions Build dashboards and tools to help teams monitor metrics and make data-informed decisions Contribute to the development of best practices within the Data Science team Explore and prototype ML applications to improve product quality (e.g., recommendations, spam detection) What we'll love about you BS or higher in Computer Science, Statistics, Mathematics, Physics, a related quantitative field, or equivalent experience 4+ years of industry data science experience Strong communication skills and comfort working with cross-functional partners Proficiency in Python for data analysis (e.g., pandas, Jupyter) Strong SQL skills and experience working with large-scale data Solid foundation in statistics and experimental design Familiarity with BI tools like Looker, Tableau, or PowerBI Some exposure to big data tools like Spark is a plus We'll Really Swoon If You Have Exposure to machine learning, especially practical tradeoffs in product settings Experience with experimentation platforms like Statsig Clear communication style and interest in mentoring peers or sharing best practices What you'll love about us Mission and Impact: Grindr is building the global gayborhood in your pocket. Your role will impact the lives of millions of LGBTQ+ people around the world. Through our success, we are making a world where the lives of our community are free, equal, and just. Family Insurance: Insurance premium coverage for health, dental, and vision for you and partial coverage for your dependents. Retirement Savings: Generous 401K plan with 6% match and immediate vest in the U.S. Compensation: Industry-competitive compensation and eligibility for company bonus and equity programs. Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more. Additional Benefits: Flexible vacation policy, monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch provided onsite, and yearly travel & leisure stipend. About Grindr Grindr is building the global gayborhood in your pocket. With more than 13.5 million monthly active users, Grindr has become a fundamental part of the LGBTQ+ community and is charting a path to make the world more free, equal, and just. Since 2015, Grindr for Equality has advanced safety, health, and human rights for millions of Grindr users and the global LGBTQ+ community in partnership with more than 100 community organizations in every region of the world. Our next evolution is underway as a public company that continues to grow and build meaningful experiences for our users. From social issues to product innovations, we're setting audacious goals for our community and the business, and leveraging the latest tech stacks and a culture of engineering excellence to make it happen. At the heart of our work in this new chapter is a shared set of operating principles centered around cultivating curiosity, thinking big, setting and expediting our ambitious goals, and growing through iteration; all while keeping our users #1. Grindr is headquartered in West Hollywood, California, with offices in the Bay Area, Chicago, and New York. With a track record of strong financial performance and plans for continued headcount growth, we're building a team of talented, passionate, and open-minded people who want to disrupt the dating app space, innovate products, and advance LGBTQ+ culture. Come be a part of this exciting journey with us. Grindr is an equal-opportunity employer To learn more about how we handle the personal data of applicants, visit our Employee and Candidate Privacy Policy . #J-18808-Ljbffr

A pioneering healthcare AI company in California is seeking a Principal Data Scientist to lead the development of core analytics and AI models. This hands-on role involves working with healthcare data to enhance payer decision-making and drive significant healthcare improvements. Candidates should have over 8 years of experience in data science, expertise in statistical modeling and ML, and strong communication skills. Join a dynamic team, focused on transforming healthcare efficiency while enjoying a flexible hybrid work environment. #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 global financial tech firm in California seeks a Data Science professional to partner with executives and lead forecasting efforts. You will leverage AI and causal inference methods to generate insights that drive business efficiency. Candidates should have 5+ years of experience in a quantitative field and possess strong communication skills to influence strategy effectively. This role offers a chance to work in a rapidly growing team in the fintech space, contributing to the company's growth and technological innovation. #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 tech company in San Francisco is seeking an AI Data Scientist to develop scalable solutions and improve business intelligence through data insights. The ideal candidate will possess expertise in Python, SQL, and statistical modeling with a minimum of 6-10 years' experience. Responsibilities include maintaining data management systems, collaborating on product roadmaps, and engaging in cross-functional projects. This role offers the opportunity to work in a dynamic environment and contribute to innovative applications. #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

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

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

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

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business. About the role Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting recommendations and personalization products. In this role, you will leverage data analytics to support and improve our recommendations and personalization initiatives, identifying trends, mitigating risks, and providing actionable insights. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise. For California Only - The estimated annual salary for this position is between $132,000-$254,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. Roku will be accepting applications for this position until November 27, 2025 [or until the position filled]. What you'll be doing Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute AB tests Translate complex analyses into clear executive narratives and dashboards, driving consensus on priorities and accelerating delivery across the board. Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions Develop necessary data pipelines to power automation, validation and reporting Develop analytical tools (real-time alerts, models, etc.) to understand what drives success for our mobile platform Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback Providing feedback directly to leadership on performance of various initiatives and untapped opportunities We're excited if you have 5+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 5+ years of experience across consumer product, digital media or entertainment industries Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis Hands on experience with visualization tools like Tableau or Looker Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment Hands on experience in A/B testing and statistical modeling/forecasting Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit ************************************ #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