Senior Data Modelling Dataverse Jobs

About the team The People Product team builds the internal tools and frameworks that power every employee's journey across DoorDash, Deliveroo, and Wolt. We combine a hybrid "build + buy" approach to deliver intelligent, scalable and people-centric experiences across hiring, compensation, onboarding, learning, performance and more — connecting our mission to empower local economies with the experience of the people who make it happen. We partner closely with Design, Engineering, Analytics, People/HR, Total Rewards and Talent Acquisition to build products that elevate the entire People Tech stack across all three brands. About the role We're hiring a Senior Product Manager to own the our internal compensation products — this includes the tooling, data, and AI that determine how DoorDash sets and maintains pay ranges across every job family, level, and country. Range setting is the starting point, as it is the core process of a compensation team and the infrastructure everything else is built on. Your role is to turn that into a product: a range-setting workspace that ingests market and internal data to enable a Compensation Partner to review and make decisions. This is an individual contributor role with a clearly scoped product area. The range-setting tool and the monitoring dashboard are the anchor. You will also own the seams into adjacent compensation surfaces — recruiter offer guidance, budget modeling, headcount planning, and Workday range loads — wherever they depend on range data. What you'll be doing Own product decisions for the compensation range-setting stack — the range tool, its recommendation engine, and the monitoring dashboard — partnering with Compensation on methodology while owning how that methodology becomes product logic. Define the data pipelines and data products that range setting depends on — historical ranges, offers, incumbent, and attrition data — and own the partnership with People Analytics on the semantic layer and the proposed compen

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. This is an individual contributor role. The Senior Contract Manager for First Health Network Management serves as the subject matter expert in support of contracting initiatives and data audits to enhance provider networks while meeting and exceeding accessibility, compliance, quality, and financial goals. Responsible for reviewing, building and auditing complex contract and network data, support recruitment efforts, and collaborating on negotiations as needed. Role/Responsibilities Negotiates, executes, reviews, and analyzes contracts and/or handles dispute resolution and settlement negotiations with solo, small group, or local providers, including SCAs, LOAs, and PPAs. Collaborates cross-functionally to manage provider compensation and pricing development activities, submission of contractual information, and the review and analysis of reports as part of negotiation and reimbursement modeling activities. Responsible for identifying and managing cost issues and collaborating cross functionally to execute significant cost saving initiatives. Represents company with high visibility constituents, including customers and community groups. Promotes collaboration with internal partners. Manages contract performance in support of network quality, availability, and financial goals and strategies. Recruits providers to ensure attainment of network expansion

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Provider Digital Analytics and Intake Team is hiring a Business Analytics Specialist to support the reporting and data analytic needs for value capture and metric driven management of Aetna’s provider digital tools. This successful candidate will partner and support activities of the Provider Digital business team and advise on insights to drive value in digital tool offerings. Performs data analysis and issue research as well as participates in business and technical projects to assess the impact of that work on the reporting and data. Consults with internal clients to identify opportunities to implement data solutions to business problems at an intermediate level. Collaborates with business partners to understand their problems and goals to help solve by developing predictive modeling, statistical analysis, data rereports, and performance metrics. Participates in the implementation of information strategy and development of information products to ensure operational objectives and other strategic business initiatives are met. Ability to structure data analysis, driving analytics insights and analytical solutions to help determine the best analytical solution. Consults on the creation of analytics solutions that effectively weigh business and technical tradeoffs using an intermediate understanding of business strategy as well as relevant

What you’ll do Own the tissue-class segmentation and labeling models for the ultrasound CT clinical analysis layer, and the pipelines that make them trainable and verifiable. Retune across 2D per-slice, 3D volumetric, and 2D×3D fusion as reconstructed image inputs are continuously updated, and clinical indications for use expand. Define training/evaluation pipelines, datasets, and metrics from the ground up or from open source; map model behavior to user needs and design requirements. Work with data labeling contractors, expert clinicians, and our internal cloud/data teams on labeling specs, QC, and dataset versioning. Help productionize models into a versioned, HIPAA-bound analysis service: reproducible/low-latency inference, per-prediction confidence, drift monitoring, and safe fallbacks. What we’re looking for Strong applied ML experience with a track record of developing new models — architecting, training, and evaluating from scratch as well as benchmarking against existing models. Experience with image segmentation (semantic/instance, 2D and ideally 3D/volumetric) and the modeling and training-data choices that make it robust across diverse patient anatomy. Comfortable moving fluidly between open-ended research iteration and producing quantifiable, testable models. Fluent in modern deep-learning tooling (e.g., PyTorch) and current development practices. Comfortable working under design controls, where model changes carry documentation and verification weight. Useful experience Image segmentation and label generation with modern architectures (U-Net / nnU-Net, 3D U-Net, transformer-based and promptable segmentation like SAM), including the geometry that ties voxel- and mesh-level predictions back to a coordinate frame. Learning under limited or noisy supervision: self-supervised / semi-supervised methods (masked autoencoders, contrastive pretraining like DINO/SimCLR), active learning, weak labels, and simulation-driven pretraining. Hands-on experience with data

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 are seeking a Senior Manager of Industrial Engineering to join CLEAR's Central Operations team. This role is the quantitative backbone of our Experience & Operations Design function — owning the data-driven design standards, labor models, and capacity planning that determine how CLEAR's physical operation is structured and staffed. You will be the analytical engine behind lane design decisions, engineered labor standards, and demand forecasts, ensuring the operation is designed to deliver a consistently excellent member experience efficiently at scale. What you'll do: Develop and own engineered labor standards and staffing models across CLEAR’s physical experiences, including Verifier, Greeter, eGate, Concierge, TSA PreCheck, Enrollment, Sports, and new programs, serving as the operations source of truth for labor and headcount inputs Define physical operating requirements and sizing standards across lane configurations, verification and enrollment experiences, hardware placement, and queue management; lead checkpoint design for new and existing airport locations Lead demand forecasting and capacity planning across CLEAR experiences, modeling throughput, staffing requirements, operating hours, and operational impact for new programs, launches, surge periods, and events Drive operational efficiency through time studies, process analysis, and labor optimization, identifying and developing opportunities to improve productivity, capacity, and the Member experience across the network Partner cross-functionally with Operations,

Location : Hamburg or Berlin! At Freenow by Lyft, we are on a mission to empower smarter mobility decisions, helping people to move freely and cities to thrive. We are looking for a Senior Commercial Finance Manager to drive financial planning, business casing, and performance tracking across our dynamic growth segments and key strategic initiatives. In this role, you will act as a core financial business partner to the segment leaders and business owners accountable for driving these growth levers, providing the analytical rigor needed to guide investment decisions and strategy. Your scope extends beyond our core marketplace model to encompass B2B SaaS solutions and other business models. Beyond commercial FP&A, you will play an active role in M&A activities by supporting buy-side due diligence and post-acquisition financial integration. YOUR DAILY ADVENTURES WILL INCLUDE: Lead structured financial modeling and business casing for growth segments and strategic projects in close collaboration with business owners. Act as a key finance partner to segment leaders and business owners, providing objective analysis to inform senior leadership discussions on resource allocation and major investment decisions. Establish continuous ROI tracking frameworks and conduct routine performance reviews to ensure capital efficiency across all growth levers. Work alongside the Data team to define and implement consistent KPI tracking, reporting frameworks, and performance dashboards. Collaborate with the broader Commercial Finance team to build and maintain sustainable "shadow P&L" reporting for growth segments (prospectively utilizing Anaplan). Support buy-side M&A projects by assessing target financials and evaluating business models within the context of our own operational data to complement external due diligence advisory work. Structure and drive the post-acquisition financial integration of newly acquired businesses from an FP&A perspective, ensuring

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Revenue Operations team plays a critical role in connecting Sales, Business Units, Finance, and Supply Chain to drive accurate revenue outcomes and operational excellence worldwide. We partner across global teams to improve forecast confidence, align business priorities, and deliver insights that support Micron’s financial objectives. This is a highly collaborative team where data, strategy, and execution come together to influence key business decisions. As a Revenue Operations Analyst, you will serve as a strategic advisor to business leaders, helping translate complex data into actionable recommendations that protect revenue, improve operational performance, and support informed decision-making. This role offers broad exposure across the business and the opportunity to influence forecasting, planning, supply and demand alignment, and process improvement initiatives on a global scale. Responsibilities: Manage worldwide Sales Plan activities for an assigned Business Unit and drive alignment across Sales, Business Unit leadership, Finance, and Supply Chain Develop revenue projections, evaluate risks and opportunities, and provide executive-ready recommendations to support business performance Lead recurring revenue reviews and deliver data-driven insights to support strategic decision-making Analyze demand, supply, customer commitments, and plan attainment to identify priorities and mitigate revenue risk Drive operational excellence through KPI management, scenario modeling, pro

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. Cortex Code is Snowflake’s coding agent for building with data. It ships inside the platform that thousands of the world’s largest enterprises — including a large share of the Forbes Global 2000 — run their data on, which means the quality of this agent is felt by the data teams behind a meaningful slice of the global economy. We are taking coding agents from impressive demos to tools Data Science and Engineering teams depend on every day, and we hold them to a rigorous, public bar. See our data engineering agent benchmark . About the Role This is a measurement-first role that owns the quality and efficiency of Cortex Code end to end: how good the agent is, how much it costs to run, and how reliably it behaves in production. You will take agents from research capability to real, measurable user value — turning fuzzy “the agent feels worse” signals into hard metrics, running the experiments that move them, and shipping the changes that stick. You will work on a small, high-powered modeling and infrastructure team where your work reaches every developer building on Snowflake. What you will do in this role Take agents from prototype to production: design and refine agent behaviors for real coding and data-engineering workflows, and make them reliable enough to depend on. Own a

At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale's product security needs are growing as we ship to larger and more demanding customers. We're looking for a Senior Product Security Engineer to own our secure software development lifecycle and to be engineering's partner on building security into the product. Reporting to the Head of Security, you will work in close partnership with engineering. This is a senior, high-ownership role. You will own and operate a scalable SSDL, partner with engineering on security features and secure design, review the security of existing systems and new initiatives, and own how we find, track, drive to resolution and report on vulnerabilities in what we ship. This role is based in India. In your first year, success looks like an SSDL that scales with engineering rather than gating it, security review embedded in how new initiatives ship, and accurate, on-demand vulnerability reporting backed by a working path to resolution. What You'll Do Own and operate a scalable secure software development lifecycle: threat modeling, security requirements, secure design practices, and scanning that engineering can readily adopt. Partner with engineering on security features and secure-by-design architecture, from early design through i

We are a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.ca , AutoSync , Dealertrack Canada and CMS - help Canadians buy, sell, and finance vehicles with confidence. AutoTrader.ca is Canada’s largest automotive marketplace, with over 25 million monthly visits . As part of AutoScout24 group , Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond. As a Senior Analytics Engineer , you will be a senior technical contributor within the Analytics Engineering team and help shape the data foundations behind reporting, self-service analytics, and AI-driven decision-making. You will own complex technical workstreams, set direction for team-level analytical systems, and help improve the standards, practices, and architecture used across the team. What youʼll do Own complex analytics engineering workstreams from problem framing through delivery and adoption Design and evolve scalable analytical models, semantic layers, and reusable data products Set technical direction for team-owned models and analytical systems Resolve ambiguity and align stakeholders around clear, pragmatic technical decisions Improve modeling standards, documentation, testing, review practices, and quality gates Drive consistency in KPIs, metrics, and analytical logic Partner with Data Platform, Product Analytics, Engineering, and Data Governance teams Improve the performance, reliability, and cost efficiency of AWS-based analytical workloads Contribute to AI-driven capabilities such as text-to-SQL, semantic modeling for AI, automated insights, and conversational analytics Guide complex refactoring, migrations, and technical debt reduction Review analytical solutions for correctness, maintainability, privacy, security, performance, and business

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. The Strategic Finance team is responsible for providing data-driven insights to inform strategic, financial, and operational decision-making across the company. We are seeking a Senior Associate to support the go-to-market efforts of our International organization, which brings Toast’s platform to restaurants outside the U.S. You’ll partner directly with International sales, marketing, and onboarding leaders, building the topline and expense forecasts for each market and the reporting that tracks them against plan. The work is hands-on and close to the numbers, and it’s also where the strategic questions get answered: how each market performs, what drives unit economics, and where the business can operate more efficiently. This is a high-impact role at the center of Toast’s international expansion, with regular exposure to senior and cross-functional leadership. A day in the life (Responsibilities) Serve as a finance business partner to International go-to-market leadership, supporting market investment and resourcing decisions Run the budget and forecast cycle for International, partnering with budget owners to track spend against plan, refresh topline and expense projections through the quarter, and surface risks early Manage headcount planning and tracking across the International organization, spanning Sales, Onboarding, and Marketing, including capacity models, hiring plans, and reconciliation of actuals Deliver monthly and quarterly reporting and analysis for International financials and KPIs, ensuring key issues, risks, and business drivers are understood and highlighted Use unit economics such as LTV/CAC to pinpoint what’s driving results and where there’s room to improve Conduct ad-hoc analyses, modeling, and deep dives into strategic issues to improve decision-making Commu

About the Job: Software powers the world, and LaunchDarkly empowers teams to deliver and control it safely. As a Senior Backend Engineer on the Billing team, you will own the systems that turn every plan, price, entitlement, and usage limit into revenue — checkout, subscription and entitlement APIs, usage metering, and the integrations to our billing, CRM, and finance systems. When billing is wrong, customers get the wrong product and we invoice the wrong amount. Correctness here is a commitment to our customers, not a nice-to-have. You and your team will drive the modernization of our billing platform. Technologies include Go, TypeScript, Postgres, AWS, and Terraform. Exact tool match matters far less than deep backend judgment and a track record of safely changing systems that are not allowed to be wrong. Responsibilities: Design and build the systems that define our plans, pricing, entitlements, and limits, and expose them through our API. Decompose billing from our monolith into services that are correct, testable, and independently deployable. Own correctness end to end — usage metering, reconciliation, and the invoices and usage data customers see. Operate what you build: SLOs, alerting, on-call, and fixing root causes rather than repeating mitigations. Qualifications: 6+ years of professional software-engineering experience, with significant work on complex backend applications. Experience decomposing a monolith A track record on systems where correctness is non-negotiable, and the habits that come with it: idempotency, reconciliation, reversible migrations, and safe cutovers. Proficiency in at least one backend language (Go, Rust, Python, etc.) and familiarity with cloud infrastructure (AWS or equivalent), plus strong production ownership including on-call. Bonus Billing, payments, or metering systems, or usage-based pricing. Modeling entitlements, quotas, or multi-tenant limits. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Fran

Position Overview: The Senior Financial Analyst will play a critical role in supporting Diligent’ s financial planning and analysis efforts across assigned regions or business areas. This role provides deep insights and actionable recommendations that inform both strategic and operational decisions. The Senior Financial Analyst leads budgeting, forecasting, variance analysis, and financial modeling activities, while partnering closely with cross-functional teams and business leaders to drive performance and operational efficiency. The successful candidate demonstrates advanced analytical skills, strong business acumen, and the ability to influence stakeholders through clear, data-driven insights. Key Responsibilities Lead the design, maintenance, and enhancement of financial reporting packages, models, and dashboards to support business decision-making Analyze, consolidate, and interpret complex financial and operational data to identify trends, variances, and actionable business insights Drive budgeting, forecasting, and monthly/quarterly management reporting processes, ensuring alignment with company goals and financial statements Prepare and present financial materials for leadership and Board meetings, providing analysis and recommendations Partner with cross-functional teams (Accounting, Sales Operations, HR, Product, etc.) to support financial planning, process improvements, and strategic initiatives Perform advanced ad-hoc financial analyses to guide key operational and strategic decisions Identify opportunities to improve financial systems, tools, and processes for enhanced efficiency and data accuracy Mentor and provide guidance to junior analysts as needed, contributing to team development and knowledge sharing Required Experience/Skills 2-5 years of experience in financial reporting, analysis, or FP&A &nbs

As Zoox embarks on expanding our fleet of robotaxis, the development of the infrastructure to support our fleet will continue to be a critical first step in expansion. In the role of Senior Real Estate Capacity & Topology Planner, you will be responsible for accurately modeling and tracking capacity needs for all new and expanded service markets. The candidate will need to be highly analytical with the ability to condense inputs from multiple sources in order to develop a consolidated model of future capacity needs. In this role, you will: Maintain an understanding of Zoox’s current deployed fleet as well as future projected growth Act as the primary planner and tracker for Zoox Service & Maintenance location and capacity planning Work in conjunction with Zoox Strategy, Go-To-Market, and Fleet Operations Teams to define and update long-term capacity requirements. Develop robust models to clearly evaluate and communicate capacity requirements to stakeholders and leadership Track high-level progress of all Operations Infrastructure projects to confirm alignment against anticipated fleet sizing, flagging misalignments or risks to leadership Work with Zoox Operations teams to continually evaluate and refine capacity ratio targets against projected fleet counts Make recommendations to Capital Projects team on sizing, scope, and location of future projects Help prioritize projects based on balancing short and long-term company milestones Qualifications Bachelor's degree in Business Administration or other related degree Minimum of 8 years experience in a capacity planning or operations analytics-related field Ability to create robust and dynamic models in excel, Google Sheets or other software programs Ability to navigate through ambiguity and consolidate multiple data points into a single model Ability to create professional, e

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, protecting consumers and merchants while balancing fraud loss, customer experience, and conversion. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as fraud patterns evolve. What you’ll do - You will lead development of new fraud prediction models using a mix of approaches for tabular, graph, and behavioral data - You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed. - You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. - You productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness. - You will instrument and monitor model and data health, and help define retraining/backtesting workflows as fraud patterns evolve. - Identify and implement foundational improvements to how the team builds models. - You will collaborate across Engineering, Fraud Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. What we look for - You have 6+ years experience researching, training, tuning and launching ML models at scale. Relevant PhD can count for up to 2 years of experience. - Track record of delivering high impact machine learning models in a low latency live setting - Strong Python skil