Senior Data Science Manager Jobs

Senior Technician - Data Center Batch Operations - Onsite – Scottsdale, Arizona — AZ - Scottsdale. Apply via Workday.

What you’ll do Design and implement secure cloud pipelines that ingest very large scan datasets (multi-terabyte), reliably and resumably. Build orchestration for GPU-accelerated reconstruction and analysis with strong retry semantics, idempotency, and cost controls. Define end-to-end data lifecycle for medical imaging: raw vs intermediate vs derived artifacts, retention policies, and reproducibility. Implement security + compliance primitives appropriate for HIPAA/PHI: encryption in transit/at rest, key management, least privilege, audit logs, and access reviews. Build operational tooling: monitoring, alerting, runbooks, and incident-driven improvements for a growing device fleet. What we’re looking for Strong experience with cloud batch/queueing/orchestration, storage systems, and data pipeline reliability. Experience shipping production systems that handle large data volumes and failure-prone networks. Practical security mindset (least privilege, secrets, audit logging) and comfort operating in compliance-constrained environments. Useful experience Building reliable data pipelines at scale (queues/orchestration, resumable uploads, GPU batch execution) with strong observability. Security + privacy by default: encryption, least-privilege access, auditing, and practical HIPAA/PHI guardrails. Owning the “boring” backend details that keep a lean team moving: schemas/migrations, cost controls, retries, and runbooks. Understanding compute tradeoffs across hardware options, and specifying appropriate cloud resources.

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? As part of the GTM Analytics team, you will be the data partner for Fin's Mindshare function — the team responsible for building brand awareness, shaping market perception, and creating early engagement with target buyers. This role focuses on the top of the funnel: understanding how brand marketing, executive programs, experimentation, and upper funnel initiatives drive awareness, reach, and engagement before prospects ever enter a sales cycle. You will partner with Brand Marketing, Executive Programs, and GTM leadership to measure what's resonating, design experiments, and surface the insights that inform how Fin shows up in the market. What will I be doing? Top of Funnel Insights: Own reporting and analysis for upper funnel programs — measuring reach, awareness, engagement, and early-stage interest across brand marketing, content, and executive outreach initiatives. Brand Marketing Measurement: Develop frameworks to assess brand campaign effectiveness — tr

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? As a Senior Finance Data Scientist, Existing Business , you will be the architect of the systems that predict Fin's revenue future. You will move beyond static reporting to build production-grade forecasting models that translate complex customer behaviors into financial signals. You will work on high-impact, open-ended problems, such as predicting expansion propensity and modeling long-term customer LTV. This role requires a hybrid of financial intuition and technical rigor: the ability to navigate raw data warehouses and the strategic mindset to explain the "why" behind the numbers to our leadership team. The Impact You Will Have Own and Evolve the Revenue Engine: Build and maintain predictive models for usage-based revenue, renewals, and expansion that outperform traditional linear forecasts. Unlock Predictive Insights: Develop propensity models to identify expansion opportunities and churn risks before they materialize in the ledger. Architect Finance Data: Des

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is hiring a Senior Financial Data Analyst to lead the Reporting sub-team within Finance Data & Insights. This sub-team is core to ensuring all key Run the Business (RTB) financial reports are complete, accurate, and operationally reliable on a day-to-day basis. The mandate is two-fold: build repeatable systems, playbooks, and documented workflows that reduce reactive work, and own the primary stakeholder relationships for RTB work across teams. This is a high-visibility role that combines hands-on ownership of critical reporting with team leadership and process-building. Responsibilities: Own all RTB and Compliance reporting (tax, airports, audit requests, etc.), ensuring accuracy, completeness, and operational reliability Build and maintain process documentation, checklists, and operational playbooks that make reporting workflows repeatable and resilient Receive and operationalize reports stabilized by Finance Data Products, integrating them into day-to-day RTB reporting operations Reduce fire-drill, ad-hoc response patterns by replacing them with documented, recurring workflows and automation Identify and drive automation opportunities across RTB reporting processes to improve efficiency, reduce manual effort, and further reduce ad-hoc work Own primary stakeholder relationships for RTB work, serving as the go-to point of contact across teams Lead large-scale, cross-functional initiatives with significant autonomy — from problem definition through execution — proactively communicating progress and risks to stakeholders and management Proactively identify risks, gaps, and opportunities for improvement within RTB reporting and drive initiatives to address them Experience: BA/BS with 5+ years of experience in finance, accounting, business, consulting, or analytics Advanced proficiency in

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Data Stewardship team is a group of passionate data practitioners with a diverse background in analytics, data modeling, governance, compliance, and scaled data quality. We are responsible for ensuring Airbnb is meeting its compliance obligations across our data ecosystem and ensuring data consumers are able to easily identify the best data for their needs. We support the pipelines, programs, and policy-bodies that make this possible. You’ll be part of the overall Data Infrastructure organization that is responsible for online and offline data infrastructure across the company, and the components that transition data between these environments. The Difference You Will Make Set the North Star: you will define the multi-year vision for Data Governance and Data Quality that scales with our global business and evolving AI landscape. Organizational Influence: Act as a primary consultant for executive leadership on data governance, ensuring that compliance and stewardship are integrated into the data product lifecycle from day one. A Typical Day Architect Ecosystems: Lead the design of overarching data architectures that don't just solve today’s batch needs but anticipate future real-time and AI-driven requirements. Scale Best Practices: Rather than just "ensuring quality," you will define the best practices, tooling, and culture that enable data organizations to maintain high-quality data autonomously. Policy Stewardship: Lead cross-functional task forces (Infosec, Legal, Privacy) to navigate complex regulatory landscapes (like GDPR or AI Act) and translate them int

Senior /Staff Data & Cloud Platform Engineer — Hyderabad - Phoenix Aquila, India. Apply via Workday.

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Senior Principal Data Scientist - AI Lead will be the point of contact for Public Sector / Government stakeholders and will be responsible for end-to-end AI solution delivery. This role will partner with U.S. government agencies on programs that depend on trusted entity data, validation, and risk insight.

WE'RE HIRING Senior SQL Data Engineer Azure & Snowflake Remote (WFH) Immediate Joiners only Location: Remote Employment Type: Full-Time Immediate Joiners Preferred Salary: Up to 8 LPA (PF Included) Experience: 4+ Years We are looking for a highly skilled Senior SQL Developer with strong experience in Microsoft Azure and Snowflake to design, develop and optimize enterprise data solutions. Must have 4+ years as a SQL Developer, Data Engineer, or Data Warehouse Developer, The successful candidate will have excellent SQL development skills, a strong understanding of data warehousing and data modelling, and hands-on experience building cloud-based data pipelines and analytical platforms. The role involves working closely with data architects, engineers, analysts and business stakeholders to deliver reliable, scalable and high-performing data solutions. Key Responsibilities -Design, develop and maintain complex SQL queries, stored procedures, views, functions and database objects. -Must have 4+ years as a SQL Developer, Data Engineer, or Data Warehouse Developer -Build and optimise data transformation processes for large-scale datasets. Develop data pipelines using Azure Data Factory, Azure Synapse Analytics and related Azure services. -Design and implement data solutions within Snowflake. -Develop Snowflake tables, views, stored procedures, streams, tasks, stages and file formats. -Create and maintain ETL and ELT workflows across Azure, Snowflake and source systems. -Analyse and improve the performance of SQL queries, data pipelines and warehouse workloads. Design dimensional models, including star and snowflake schemas, fact -tables and dimension tables. Implement data quality checks, validation rules, reconciliation processes and error-handling frameworks. -Support data migration and modernisation programmes from on-premises platforms to Azure and Snowflake. -Develop incremental loading, Change Data Capture and Slowly Changing Dimension solutions. -Troubleshoot da

We are looking for an experienced Senior Manager - Data Loss Prevention (DLP) - to join us! As a Senior Manager, you will work as a part of our Cyber Security team, and you will collaborate with other IT professionals to ensure that sensitive data is protected from unauthorized access misuse, and breaches. Your role will also cover Data Security Posture Management (DSPM), disk encryption controls, discovery and classification technologies, and Database Activity Monitoring (DAM) solutions. Source: Adani Group | Job ID: 57062

Chartered Accountant with an Audit background Experience in, and thorough understanding of, managing, overseeing and applying controls across a Finance function, including those underpinning SOX and Operational Risk frameworks Good relationship management, collaboration and influencing skills Good interpersonal and communication skills, both written and oral. Confident and comfortable and experienced in engaging senior stakeholders Data and process analysis skills Committed to continuous improvement, self-motivated, confident, creative and capable of working effectively autonomously as well as part of a team Prior experience of designing and implementing new controls and processes Experience in change and transformation programmes Strong regulatory reporting control mindset; experience documenting and evidencing controls. Strong stakeholder management; comfortable engaging senior stakeholders. Data/process analysis capability; organised and self-directed. Knowledge of MREL regulatory reporting and traceability expectations (rules/interpretations/calculations/models/EUCs/data) strongly preferred.

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ ➡️ Mission: Join us as Analytics Engineer – Data Governance and become the architect of Qonto's data trust layer as we make our transition to a fully licensed bank. You will own end-to-end the Data Governance framework — defining rules, implementing controls, monitoring quality, and driving remediation across the company — so that every compliance report is reliable and every business decision is grounded in trusted data. You will work closely with Alice Fresko, our Head of Analytics Engineer, and with Paul, our Staff Analytics Engineer, and sit at the intersection of Data, Product, Engineering, and Compliance. This is a first-of-its-kind role at Qonto: you won't inherit a mature process, you'll build it. ➡️ As an Analytics Engineer at Qonto, you will: Build

Who is Artefact? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organisations through data and AI. We combine the rigour of top-tier strategy consulting with deep expertise in data, digital and analytics to help clients achieve tangible business impact. With 2,500+ consultants, data scientists and engineers, we work with global leaders such as Samsung, L’Oréal, Orange and Sanofi. Our Swiss offices are at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. Main Responsibilities As a Senior Consultant in our Zurich/Lausanne office, you will work at the intersection of strategy consulting and data and AI delivery. You will: Strategy Development: Work with client leadership teams to address high-stakes questions. How can AI reshape our business model? How should we govern and organise for data? Which strategic programmes deliver the most impact? Structured Problem-Solving: Break complex challenges down into decisions a client can act on, combining consulting rigour with a working knowledge of what current AI can and cannot actually do. Solution Design: Turn a business question into a solution shape — what data it depends on, what kind of platform or product it should sit on, and what “good” looks like once it is built. You will do this alongside our data scientists and engineers. Project Delivery: Support engagements end to end, from hypothesis framing and market and competitor analysis through to data maturity assessments, client workshops, governance design and implementation roadmaps. Client Engagement: Work closely with C-level stakeholders and business unit leaders. You will build trusted relationships, communicate recommendations with clarity, and keep the work aligned to what the client is actually trying to decide. Knowledge & Practice Building: Contribute to the growth of Arte

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We are seeking an experienced MDM Product Data Analyst to support the management, quality, governance, and transformation of product master data across enterprise systems. The role will work closely with Product, Business, Engineering, Data Governance, and technical teams to analyze complex product data, define and validate data quality rules, support MDM onboarding and migration, and drive resolution of data issues. The ideal candidate combines strong product data and MDM expertise with advanced SQL, analytical problem-solving, and practical use of AI/GenAI to improve data analysis and delivery. WHAT YOU'LL DO • Analyze, manage, and reconcile product master data across multiple source systems, MDM platforms, and downstream applications. • Leverage AI/GenAI tools to accelerate data profiling, analysis, data quality rule development, documentation, issue investigation, and root-cause analysis. • Translate business and product requirements into clear data requirements, attribute definitions, validation rules, and analytical specifications. • Perform detailed data profiling to identify quality issues, gaps, inconsistencies, anomalies, duplicates, and data integrity risks across product attributes and relationships. • Define, document, implement, and validate data quality rules covering completeness, accuracy, validity, consistency, uniqueness, and business-rule compliance. • Develop source-to-target analysis and reco

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Procurement Manager - Data Centers We are looking for a fast learner and hands-on Procurement Manager to join Adyen's Procurement team, a dynamic global team within our Finance function. The goal of the team is to contribute to Adyen’s 10x ambition through sustainable commercial decisions, risk mitigation, contract and vendor management, ultimately empowering stakeholders to deliver their strategies. You will work in the data center category, alongside another category manager and a supply chain manager, but as Adyen grows, and the Procurement team with it, this scope might change and increase in the future. What you'll do Act as a business partner to stakeholders such as Infrastructure, Data Center Engineering, Legal and Sustainability, delivering value and enabling their strategies. Lead and initiate commercial negotiations, including but not limited to contract renewals and setting up new agreements. Be responsible for the supplier selection process, RFx and screening. Work with the Infrastructure team on roadmaps, including our DC expansion plans. Do vendor monitoring on performance and contractual agreements. Be tracking and reporting on industry trends. Build and maintain relationships with key vendors. Who you are 7+ years of relevant experience, including category management or sourcing. Deep knowledge and exper