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Gestalte die Transformation im Kreditgeschäft durch fundierte Business-Analyse, Prozessoptimierung und wirkungsvolle Unterstützung in der Umsetzung. Deine Rolle Als Senior Consultant – Business Analyst im Bereich Credit & Capital Management übernimmst Du eine zentrale Rolle bei der Umsetzung komplexer Transformationsinitiativen für führende Finanzinstitute. Du nutzt Deine Expertise entlang des gesamten Kreditprozesses, um Anforderungen zu analysieren, Zielprozesse zu gestalten und Geschäftsanforderungen in umsetzbare Lösungen zu übersetzen. Die Rolle verbindet fachliche Analyse mit enger Zusammenarbeit über Business-, Technologie-, Risiko- und Operations-Teams hinweg. Deine Aufgaben Analyse und Dokumentation von Geschäftsanforderungen entlang der Kreditprozesse (Origination, Bewertung, Entscheidung, Abwicklung, Monitoring und Restrukturierung) Entwicklung von Fachkonzepten, Prozessmodellen, User Stories und funktionalen Spezifikationen für Initiativen im Kredit- und Kapitalmanagement Übersetzung fachlicher Anforderungen in klare technische Spezifikationen, insbesondere in den Bereichen Daten, Workflows und Systemintegration Zusammenarbeit mit interdisziplinären Teams zur Verbesserung von Effizienz, Kontrollmechanismen und Nutzererlebnis Unterstützung der Umsetzung in Wasserfall- und agilen Projekten, einschließlich Testing, UAT-Koordination und Stakeholder-Abstimmung Dein Profil Mehrjährige Erfahrung als Business Analyst im Finanzdienstleistungsumfeld, idealerweise im Kredit-, Lending- oder Firmenkundengeschäft Fundiertes Verständnis von Kreditprozessen, einschließlich Financial Spreading, Risikobewertung, Kreditgenehmigung, Sicherheiten, Limiten und Monitoring Erfahrung in Transformationsprojekten mit Fokus auf Kreditprozesse, Operating Models oder unterstützende Technologiesysteme Kenntnisse regulatorischer und risikobezogener Themen im Kredit- und Kapitalmanagement (z. B. Basel, IFRS 9, interne Kreditrichtlinien) Ausgeprägte Kommunikations-, Analyse- u

Unterstütze die Modernisierung von Corporate-Card-Angeboten und -Prozessen durch fundierte Analyse und wirkungsvolle Umsetzungsbegleitung. Deine Rolle Als (Senior) Consultant – Business Analyst im Bereich Payments mit Fokus auf Corporate Cards unterstützt Du Transformationsinitiativen bei Banken und Zahlungsdienstleistern, die ihre Commercial-Card-Fähigkeiten weiterentwickeln. Du analysierst Geschäftsanforderungen, optimierst End-to-End-Prozesse und begleitest die Umsetzung über Produkt-, Operations- und Technologieteams hinweg. Diese Rolle verbindet fundierte Payment-Expertise mit strukturierter Analyse und Beratungskompetenz. Deine Aufgaben Erhebung und Dokumentation von Geschäftsanforderungen im Bereich Corporate Cards (z. B. Issuing, Kontoeröffnung, Ausgabensteuerung, Transaktionsverarbeitung, Abstimmung, Service und Reporting) Unterstützung bei Prozessneugestaltung und funktionaler Analyse für Produktverbesserungen, Plattformveränderungen und Operating-Model-Optimierungen Übersetzung fachlicher Anforderungen in klare Spezifikationen für Technologie-Teams, Anbieter und Implementierungspartner Enge Zusammenarbeit mit Produkt-, Operations-, Compliance- und IT-Stakeholdern zur Unterstützung der End-to-End-Umsetzung Mitwirkung an Testaktivitäten, Defect-Management, UAT-Koordination und Go-Live-Vorbereitung Dein Profil Mehrjährige Erfahrung als Business Analyst im Payments-, Karten- oder Transaction-Banking-Umfeld Fundiertes Verständnis von Corporate- oder Commercial-Card-Produkten sowie zugehörigen Prozessen (Service, Kontrolle, Settlement, Reporting) Erfahrung in Transformationsinitiativen im Zusammenhang mit Kartenplattformen, Customer Journeys oder Prozessoptimierung Fähigkeit zur effektiven Zusammenarbeit über Business- und Technologie-Teams hinweg in komplexen Projektumfeldern Ausgeprägte analytische Fähigkeiten, Kommunikationsstärke und Stakeholder-Management-Kompetenz Fließende Deutsch- und Englischkenntnisse sowie Reisebereitschaft Nice to have Kenntn

Unterstütze die Transformation von Pricing- und Billing-Prozessen im Zahlungsverkehr durch fundierte Analyse und strukturiertes Business Design. Deine Rolle Als (Senior) Consultant – Business Analyst im Bereich Payments mit Fokus auf Pricing & Billing unterstützt Du strategische Transformationsinitiativen bei Finanzinstituten, die ihre Preismodelle, Abrechnungsprozesse und kommerziellen Angebote modernisieren. Du arbeitest eng mit Produkt-, Finance-, Operations- und Technologieteams zusammen, um Anforderungen zu analysieren, Lösungen zu definieren und skalierbare Pricing- und Billing-Fähigkeiten umzusetzen. Diese Rolle erfordert eine Kombination aus Payment-Expertise, kommerziellem Verständnis und analytischer Präzision. Deine Aufgaben Erhebung und Dokumentation von Anforderungen zu Gebührenstrukturen, Preismodellen, Abrechnungsereignissen, Rechnungsstellung, Anpassungen und Umsatzreporting im Zahlungsverkehr Analyse bestehender Prozesse sowie Unterstützung bei der Zielbilddefinition für Pricing- und Billing-Plattformen, Kontrollen und operative Abläufe Übersetzung fachlicher Anforderungen in funktionale Spezifikationen für Pricing-Engines, Abrechnungssysteme, Produktkonfiguration und Reporting-Lösungen Zusammenarbeit mit Produkt-, Finance-, Operations- und Technologie-Teams zur Sicherstellung wirtschaftlich sinnvoller und operativ umsetzbarer Lösungen Unterstützung von Testaktivitäten, Abstimmungsprozessen, UAT und Implementierung in Pricing- und Billing-Transformationsprogrammen Dein Profil Mehrjährige Erfahrung als Business Analyst im Payments-, Transaction-Banking-, Billing- oder Pricing-Umfeld Fundiertes Verständnis kommerzieller und operativer Prozesse im Zusammenhang mit Pricing, Gebührenmodellen, Rechnungsstellung und Vermeidung von Umsatzverlusten Erfahrung in der Strukturierung komplexer kommerzieller Anforderungen und deren Überführung in umsetzbare Lösungen Fähigkeit zur effektiven Zusammenarbeit mit verschiedenen Stakeholdern aus Produkt, Fin

Gestalte die Transformation im Core Banking durch fundierte Analyse, Prozessdesign und die Übersetzung fachlicher Anforderungen in technologische Lösungen. Deine Rolle Als (Senior) Consultant – Business Analyst im Bereich Core Banking unterstützt Du zentrale Transformationsinitiativen führender Banken bei der Modernisierung von Produkten, Prozessen und Plattformen. Du arbeitest eng mit Fach- und IT-Teams zusammen, um Anforderungen zu definieren, Prozesse zu optimieren und eine erfolgreiche Umsetzung von Veränderungen im Core Banking sicherzustellen. Diese Rolle verbindet praktische Projektarbeit mit intensiver Zusammenarbeit auf Kundenseite. Deine Aufgaben Analyse und Dokumentation von Geschäftsanforderungen in Core-Banking-Bereichen wie Kunden-Onboarding, Konten, Einlagen, Kreditgeschäft, Serviceprozessen und Produktkonfiguration Erstellung von Prozessmodellen, Geschäftsregeln, User Stories und funktionalen Spezifikationen zur Unterstützung von Plattform- und Operating-Model-Transformationen Übersetzung fachlicher Anforderungen in umsetzbare Spezifikationen für Technologie-Teams sowie Begleitung der Lösungsvalidierung während der Umsetzung Zusammenarbeit mit Business-, Operations-, Architektur- und Testteams zur Unterstützung der End-to-End-Delivery in Transformationsprogrammen Mitwirkung an Workshops, Testaktivitäten, Datenmigration und Go-Live-Vorbereitungen Dein Profil Mehrjährige Erfahrung als Business Analyst im Finanzdienstleistungsumfeld mit relevanter Erfahrung im Core Banking, idealerweise in einem globalen Umfeld Fundierte Kenntnisse in einem oder mehreren Core-Banking-Bereichen wie Girokonten, Einlagen, Kreditprodukte, Produkt-Engines oder Kundenservice Erfahrung in Transformationsinitiativen mit Fokus auf Prozessneugestaltung, Plattformveränderungen oder Integration von Business und IT Fähigkeit, komplexe Anforderungen strukturiert aufzubereiten und effektiv mit Fach- und IT-Stakeholdern zusammenzuarbeiten Hohe Eigeninitiative sowie eine selbstst

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is building AI BI: a new way for anyone in a company to ask questions and get accurate, auditable answers from their data, whether as visualizations or plain-language insights. We are looking for a senior+ level full-stack engineer to help build this experience end to end. This is not about recreating every long-tail feature from legacy BI tools. We are building something lightweight, composable, and understandable by AI. The goal is to help business users, analysts, and data teams move from question to answer faster, while creating a product that is robust, scalable, and delightful to use. You should be excited to work across the stack, move quickly, and make strong product and engineering tradeoffs. The ideal candidate has experience building durable systems at enterprise scale, but is also comfortable operating with startup speed and ambiguity. In this role, you will Build core product capabilities for AI-native dashboards and analytics experiences using JavaScript (React), Go, Java. Drive projects end to end across frontend, backend, architecture, and product details. Partner closely with product, design, and sister teams to deliver cohesive user experiences. Make thoughtful tradeoffs between speed, quality, and long-term maintainability. Help shape technical

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for a Senior Software Engineer to join our Network Engineering team to accelerate building and scaling our innovative systems that support our growing identity platform. In this role, you will build the next-generation infrastructure that underpins all systems at CLEAR. The ideal candidate for this role will approach challenges with an eye toward reliability, simplicity, and scalability. What You'll Do: Develop and maintain a streamlined process for engineers to effortlessly build and deploy scalable and reliable software-defined networking solutions on AWS. Enhance our compute platform (Kubernetes) by integrating new functionalities and features, focusing on AWS networking services and concepts such as VPCs, Route Tables, Security Groups (SGs), ALBs/ELBs, and Route53, as well as implementing Kubernetes networking solutions like service mesh (Istio) to optimize service communication and management. Collaborate across engineering teams to advocate for and implement best practices in observability, utilizing tools like Splunk or Datadog to ensure robust network monitoring. Act as a product owner for our infrastructure, collecting feedback and requirements from engineering teams to address pain points and develop solutions, particularly in the realm of AWS networking and cloud-native design principles. What you're great at: 6+ years of extensive experience in infrastructure and platform development, particularly in software-defined networking and AWS cloud services. Proficient in writing production-grade softwar

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The opportunity: As a member of the Account Management team, your mission will be to proactively grow our client relationships by building and implementing solutions to their critical supply chain challenges. This is the golden opportunity to help expand our business in Asia. You will also support our share of wallet expansion with existing clients while helping to define new targets in the Asia Pacific region. You will: Develop and launch new solutions that meet the needs of the largest and most complex global Freight Forwarding clients Focus on accelerating the growth of all services across the Flexport Portfolio including Air, Ocean, Trade Advisory, Customs, PO Management Partner with the destination team in the US and Europe to identify expansion opportunities with our existing accounts in order to grow Flexport’s share of wallet. Work cross-functionally – across Supply Chain Operations, Procurement, Account Solutions, ProServe, Implementation, Legal, Industry SMEs, and Trade and Financial Services teams – to develop and execute on the client strategies in a deliberate way that maximizes the outcomes. You will create alignment of executive level customer

About the Role Together AI is looking for a Senior Network Engineer to design, deploy, and operate the global network infrastructure supporting our production services and high-performance AI compute environments. This is a hands-on engineering role for someone with deep networking expertise who can also troubleshoot across Linux, Kubernetes, automation, and application boundaries. You will work on large-scale, multi-vendor data center networks and help ensure they remain highly available, reliable, scalable, and performant. The ideal candidate has strong networking fundamentals, experience operating complex networks at scale, and a structured, evidence-based approach to troubleshooting. You should be comfortable owning problems from initial investigation through root cause and resolution, including situations where the issue may extend beyond the network itself. Requirements 8+ years of professional experience designing, building, and supporting large-scale production data center, cloud, service-provider, or high-performance computing networks (excluding enterprise networks). Deep understanding of TCP/IP and strong experience with technologies such as BGP, OSPF, VXLAN, EVPN, ECMP, and QoS. Experience designing and supporting multi-tenant network environments using technologies such as VRFs, VLANs, overlays, and policy-based segmentation. Hands-on experience deploying and troubleshooting network platforms from vendors such as Arista, Cisco, Juniper, and NVIDIA. Strong troubleshooting skills using tools such as Wireshark, tcpdump, MTR, curl, nmap, and standard Linux networking utilities. Ability to diagnose connectivity, latency, packet-loss, routing, and performance issues across the network, host, and application layers. Experience developing or maintaining network automation using Python, Ansible, or similar tools. Experience working through a Git-based software development lifecycle, including branching, code review, validation, linting, testing, CI/CD, deploymen

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions. IN THIS ROLE YOU WILL GET TO: Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the APJ region. Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases. Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback. Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos. Influence, tailor and maintain Sales Engineering AI and ML selling assets, incl

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY DISCOVERY EXPERIENCES? Roblox is not just a platform; it is a complex, two-sided marketplace where millions of creators meet over 70 million daily active users. The Discovery Experiences team is the technical heartbeat of this ecosystem. We own the surfaces—Home, Search, Matchmaking, and Notifications—that determine how users navigate the metaverse. As a Data Scientist , you will own the ranking initiatives that power these canvases. You aren't just building models; you are building the economic and social f

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Child Safety Intelligence Analyst on Roblox’s Safety Intelligence Team, you will be on the front lines protecting the platform’s youngest and most vulnerable users. This is a proactive intelligence role focused on identifying, tracking, and disrupting systemic threats to minors, to include child sexual exploitation and abuse (CSAE), grooming behaviors, peer-to-peer harassment, financial minor extortion (sextortion) and bad-actor networks trying to exploit platform features to victimize minors. You will blend quantitative and qualitative data, open-source intelligence (OSINT), behavioral analysis, and deep knowledge of online culture to uncover adversarial trends before they impact the platform ecosystem, and provide your analysis to teams across Roblox and company leadership. Your insights will directly shape automated detection logic, product safety features, and platform policy. Psychological Wellness Note: This role involves exposure to highly sensitive and potentially disturbing themes regarding the exploitation of minors. Roblox offers resources to support employees handling this challenging work. This role is based in San Mateo, CA and requires employees

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. ML Platform @ Roblox today supports hundreds of ML use cases and billions of inferences per day across Discovery, Safety, Engine, and much more. As an Infrastructure Engineer on the ML Platform team, you will design, scale, and maintain the foundational infrastructure powering our entire machine learning ecosystem. We are looking for accomplished engineers to spearhead the development of our next-generation ML tooling and platform capabilities. You will: Bootstrap and maintain Kubernetes and Cloud infrastructure for ML Platform components--Serving Layer, Metadata Store, Model Registry, and Pipeline Orchestrator. Set technical strategy and oversee development of high scale and reliable infrastructure systems. Propose and implement new platform tooling to improve time to production for MLEs and Data Scientists across the full ML lifecycle. Work on infrastructure projects such as GPU fleet management, hybrid-cloud orchestration, and writing custom Kubernetes controllers and resources. Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading-edge technologies and practices. Partner across organizations to build tooling, interfaces, and visualizati

About the Role: We're hiring Senior and Staff Data Platform Engineers to join the Data Infrastructure teams in Toronto. Together these teams own the infrastructure that processes billions of events per day: Spark-on-Kubernetes, Flink and Kinesis pipelines, a multi-petabyte Delta Lake, a large-scale MemoryDB feature store, Databricks multi-environment operations, and the catalog and lifecycle systems that govern it. The team is small and senior. Each engineer owns major platform components: you design it, build it, and support it in production. This is a hybrid-role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Spark-on-Kubernetes — EKS-based compute platform for Spark workloads: cluster configuration, Pod Identity IAM, job environment setup, Kustomize overlays, and shadow canary validation Event ingestion — Rust services and Flink jobs processing billions of events per day over Kinesis; throughput, reliability, on-call response, and AI-assisted operational tooling to reduce toil Platform infrastructure — Terraform modules for environment provisioning, cross-account AWS IAM, ARC runner infrastructure, and CI/CD for data platform changes Feature store and ML compute — Flink-based real-time feature pipelines feeding a large-scale MemoryDB cluster; GPU capacity governance and Databricks multi-environment operations for ML training workloads Workflow orchestration and CDC — Airflow-based DAG deployment, change data capture pipeline operations, and data quality monitoring Your Background: 3+ years building and operating production data platform infrastructure at the cluster or platform level, across Spark, Flink, Kinesis, Kubernetes, or equivalent Deep experience in at least one of: Spark-on-K8s cluster operations, Rust-based data or systems engineering, Kubernetes platform engineering and IaC, or data catalog and governance tooling Production AWS experience or equivalent: EKS, S3, Kinesis, and mu

Salary range: $225k - $300k | Equity: 0.15% - 0.35% | In-Person: NYC About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We’re at high 7-figure ARR. Anthropic, Legora, Booz Allen, and ElevenLabs are customers. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, chandra, surya, marker, and lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We’re looking for a fullstack engineer who wants to build the interfaces, tools, and infrastructure that help developers and enterprises use our models. You’ll work across the stack to shape how people interact with OCR, extraction, and document-understanding systems. That includes building core inference workflows, creating intuitive UI for complex parsing tasks, and improving the developer experience across our open-source repos and API. This is a high-ownership role that blends engineering, product thinking, and community engagement. You will work closely with the founders and the rest of the team to ship features, improve performance, and make our technology accessible to a global community of builders. As a small and fast-moving team, roles are fluid. You should enjoy working across backend, frontend, performance, and user-facing surfaces. Your work will directly influence how teams evaluate and deploy our models. Day to day, you will: Ship features to our open source repos, API, and internal tooling. Design and build frontend features that make document parsing more interactive and understandable. Optimize inference performanc

About the Opportunity Enabling millions of distributed energy devices to deliver reliable and predictable grid services to the electricity industry requires state-of-the-art forecasting, control systems, optimization algorithms, and data science. As such, EnergyHub seeks to hire a Senior Forecasting and Optimization Engineer to join EnergyHub’s Data Science and Power Systems Intelligence team. As a Senior Forecasting and Optimization Engineer you will work closely with some of the brightest minds in the electricity industry to solve some of the most difficult problems in distributed energy. The algorithms and data systems that you contribute to will be key to enabling a carbon-free distributed energy future. Main Responsibilities: What you’ll do Develop and improve accurate and robust energy forecasting models Develop and improve control and optimization algorithms Design, write, test, and deploy production-grade code for mission-critical forecasting and optimization products and related algorithms Build and use tools and processes to monitor and assess the quality of operational forecasting and optimization models Translate data from one of the largest distributed energy datasets in the electricity industry into actionable insights for electric utilities and other energy industry stakeholders Provide guidance to other engineers and scientists regarding machine learning, forecasting and optimization methods Present results clearly to internal and external stakeholders Collaborate closely with stakeholders inside and outside of EnergyHub including Data Engineering, Client Success, Marketing, Sales, Product, and Market Development teams Other duties as assigned Required Skills and Experience: What you need Passion for enabling a carbon-free, distributed energy future At least five years of experience in machine learning, statistical analysis, data visualization, control systems engineering, and/or mathematical optimization Experience developing data pipelines using la