Data Analytics Consultant Jobs

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Position Overview The AI Platform Engineer builds and operates the machine learning and generative AI platform used by teams across Abbott Cancer Diagnostics. You'll own the full model lifecycle in production — data and feature pipelines, training and experimentation, evaluation and promotion, serving, and monitoring — along with the platform services, compute and tooling underneath it. This is hands-on infrastructure work backed by solid platform engineering practice: making inference fast and cheap, making the path from experiment to production repeatable and auditable, and shipping interfaces other engineers can build on — in support of software that ultimately reaches patients. Essential Duties Include, but are not limited to, the following: Build and maintain data, feature, and training pipelines for ML and LLM workloads — ingestion, transformation, fine-tuning, distributed training, and reproducible experiment execution with lineage tracked from dataset and code to resulting model. Implement automated evaluation and promotion gates — performance benchmarks, regression checks, and validation criteria that determine whether a model advances toward production. Automate the model lifecycle end to end through CI/CD and GitOps: packaging, promotion across environments, progressive rollout, and rollback. Build and operate production model-serving infrastructure for LLMs and predictive models, including inference optimization, autoscaling,

The Shift Engineer - Cluster - IPQA conducts in-process quality inspections during shifts, monitoring production processes and identifying quality deviations. This role records and analyzes quality data, assists in implementing corrective actions, provides training on in-process quality procedures, and supports continuous improvement initiatives to enhance process quality. Source: Adani Group | Job ID: 57088

Be at the forefront of innovation with NVIDIA! Our CUDA Libraries & Frameworks Product Marketing Manager role offers an outstanding opportunity to build the future of accelerated computing. This is your chance to join an elite team in Santa Clara, where your contributions will have a lasting impact on technology and society! We are looking for a technical, AI-first CUDA Product Marketing Manager. This is a hands-on PMM role for someone who uses AI coding agents and automation as part of daily execution, not as an occasional productivity aid. Come help craft the story for CUDA, core NVIDIA acceleration libraries like cuDNN, NCCL, NIXL, and AI frameworks like PyTorch, JAX, vLLM, and SGLang. What you'll be doing: Own positioning and messaging for CUDA as a developer platform, including the CUDA programming model, compilers, and core libraries. Make technical capabilities clear, credible, and useful for developers and technical decision-makers. Translate technical features for core libraries such as cuDNN, NCCL, CUTLASS, and TensorRT-LLM into data-driven developer narratives, release messages, proof points, ecosystem informed claims, and field-ready assets. Describe how NVIDIA speeds up AI frameworks and runtimes such as PyTorch, JAX, vLLM, and SGLang, linking low-level platform features to benefits for developers. Use AI coding agents daily to build PMM operating systems: competitive-intelligence agents, automated research pipelines, content auditing, reporting, and partner mapping. Turn documentation, performance benchmarks, GitHub issues, customer signals, and roadmap updates, into messaging assets. Lead go-to-market execution for CUDA launches and core library releases. What we need to see: Bachelor's degree in Computer Science or relevant field (or equivalent experience).

The Shift Engineer - Cluster - IPQA conducts in-process quality inspections during shifts, monitoring production processes and identifying quality deviations. This role records and analyzes quality data, assists in implementing corrective actions, provides training on in-process quality procedures, and supports continuous improvement initiatives to enhance process quality. Source: Adani Group | Job ID: 57787

The Shift Engineer - Cluster - IPQA conducts in-process quality inspections during shifts, monitoring production processes and identifying quality deviations. This role records and analyzes quality data, assists in implementing corrective actions, provides training on in-process quality procedures, and supports continuous improvement initiatives to enhance process quality. Source: Adani Group | Job ID: 57089

Technical Business Analyst, Point72 A Career with Point72's Trade Research Team Point72’s Trade Research team supports the firm’s trading activity by delivering research, market data, and day-to-day support that help quantitative researchers and portfolio managers make informed decisions. WHAT YOU’LL DO Partner with Technology, Operations, Trading, Compliance, and other teams to prioritize, scope, and execute projects that support the Trade Research function Design and improve day-to-day workflows that leverage new technologies to increase team productivity and efficiency Coordinate with brokers and third parties to implement trading connectivity and resolve operational issues Streamline the team’s process for evaluating, investigating, and purchasing new market data Build strong relationships across internal functions to support research teams and address daily operational needs WHAT’S REQUIRED Strong project management and organizational skills, with the ability to prioritize multiple initiatives and drive them to completion Technical fluency, including coding experience and familiarity with cloud technologies such as AWS High degree of agency and ownership, with the ability to identify needs, solve problems, and execute independently Experience building partnership across business and operations functions Ability to design, improve, and document workflows that increase efficiency and support day-to-day operations Comfort working with market data, trading systems, brokers, and other third-party providers Strong communication skills and the ability to build relationships with internal stakeholders A proactive, solutions-oriented mindset, with strong attention to detail and a focus on operational excellence Commitment to the highest ethical standards WE TAKE CARE OF OUR PEOPLE We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully-paid health care benefits Generous parental and family leave policies Voluntee

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. We are looking for a Senior Compliance & Investigations Counsel to join our team. Reporting to the Head of Corporate Compliance and Responsibility, you will take ownership of building our legal investigations function while advancing critical compliance activities, from partner risk management to our training and awareness efforts. This is a key role on a growing team with a mission to embed integrity across our global operations. The position can be hybrid at our Santa Clara, CA headquarters or fully remote in the US. What you’ll do (Role Expectations) Build our legal investigations function by collaborating closely with key stakeholders in our Finance and People & Culture teams to fine-tune investigation procedures and identify use cases for technology and AI to drive greater transparency, efficiency, robustness and awareness among employees, senior management and the Board Take ownership of embedding our “speak u

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. Reddit's Infrastructure organization has the mission of building and delivering the compute orchestration environment, storage and data systems, and essential platform services behind all of Reddit. The breadth of the infrastructure portfolio spans Compute, Storage, Messaging, Transport, Core Platform, Ranking Platform, SRE, Security, and Compliance. and more, each with active roadmaps driving modernization, migrations, and platform evolution. We are looking for an experienced Staff Technical Program Manager (IC5) who is a generalist across all things infrastructure. This role requires strong TPM skills paired with strong technical knowledge to effectively drive programs across the full breadth of Reddit's infrastructure stack. You will plan and execute complex, multi-team programs, from cluster migrations and storage modernization to Kafka client rollouts, with a deep understanding of the processes, trade-offs, and dependencies involved. Why this role matters: Reddit's infrastructure is undergoing its most significant modernization in company history. We are migrating off legacy clusters, standing up intent-based compute environments, evolving our storage and messaging platforms, scaling ML serving to GPU, and expand

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Ads Quality team helps Pinners move from inspiration to action by showing the right ad at the right time. We are at the core of the entire ads system optimizing for Pinner, Advertiser, and Pinterest value. The output of this work will both be highly impactful (driving measurable value for Pinners and Advertisers) and highly visible (your launches will change the way the app looks and feels), and will critically contribute to our mission of helping hundreds of millions of people find the inspiration to create a life they love. The ideal candidate has a passion for delighting our Pinners and strong intuition about what matters most to their experience. In addition, they must possess a deep understanding of the back-end systems, have worked cross functionally with engineering, data teams, and PMM and understand the

About Graphcore Graphcore is a leading innovator in artificial intelligence computing. We develop hardware, software, and data center infrastructure that provide the specialized processing and systems capabilities needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore works alongside companies developing advanced technologies. Our teams bring together AI researchers, silicon designers, hardware and software engineers, and systems architects to solve complex technical problems across the computing stack. The Opportunity As Principal Datacenter Technologist, you will turn new platform architectures into repeatable operating models for Graphcore's AI data centers. You will lead the technical definition of how Graphcore introduces, deploys, services, and sustains new compute, networking, storage, memory, power, and cooling technologies at scale. Working within Advanced Architecture, you will connect platform design with data center engineering and site reliability operations. You will define new-product-introduction workflows, readiness criteria, diagnostics, and cross-functional handoffs so that new systems can move from architecture through deployment with clear ownership, supportability, and operational feedback. What You Will Do Own the technical operating model and new-product-introduction framework for new hardware and infrastructure technologies entering Graphcore data centers. Define end-to-end workflows for installation, configuration, validation, deployment, service, repair, upgrade, and sustained operation across the product lifecycle. Translate architecture requirements into data center readiness criteria covering software, firmware, compute, networking, storage, memory, rack integration, power, cooling, space, and site operations. Create clear runbooks, interface definitions, ownership models, acceptance criteria, and escalation paths that align architecture, engineering, data center, and site r

About Graphcore Graphcore is a leading innovator in artificial intelligence computing. We develop hardware, software, and data center infrastructure that provide the specialized processing and systems capabilities needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore works alongside companies developing advanced technologies. Our teams bring together AI researchers, silicon designers, hardware and software engineers, and systems architects to solve complex technical problems across the computing stack. The Opportunity As Principal Storage Architect, you will define the high-performance storage architecture for Graphcore's AI computing and data center infrastructures. You will lead the design of local and distributed storage tiers that provide the throughput, availability, and predictable tail latency required for large-scale training and inference. Working within Advanced Architecture, you will address storage requirements for saving model states, offloading key-value caches, large datasets, and high-speed data-loading pipelines. You will combine hands-on performance engineering with Principal-level technical leadership across hardware, software, networking, systems engineering, automation, supply chain, and external technology partners. What You Will Do Define the end-to-end architecture and technology roadmap for local, disaggregated, and distributed storage across Graphcore AI server and data center platforms. Design storage topologies that optimize PCIe lane allocation, network-domain placement, and data paths among CPUs, AI accelerators, memory, and storage systems. Lead the architecture of storage control-plane and data-plane solutions, evaluating commercial and open technologies against performance, resilience, manageability, and lifecycle requirements. Profile and tune the Linux storage stack, block layer, I/O schedulers, direct I/O paths, file systems, and drivers to imp

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Knowledge Graph Platform team builds the foundational systems that help Reddit understand entities, relationships, and context across its content. We are evolving an advanced, AI-powered knowledge graph into a reliable, scalable platform that enables teams across Reddit to build better experiences on top of shared, high-quality knowledge. This is a high-leverage team at the intersection of data, platform engineering, and AI. Our work supports emerging capabilities such as contextual grounding while creating the contracts, standards, and developer experience that make shared data dependable and easy to use. This team is strategically positioned to impact both ads and consumer roadmaps. Our data is used across ads marketplace models as well as user-facing features on reddit.com . What You’ll Do: Lead, coach, and develop a team of engineers building Reddit’s Knowledge Graph Platform; create a high-trust, high-performing environment with clear goals and strong technical ownership. Set the technical direction and roadmap for a scalable knowledge graph platform, including data and API contracts, service interfaces, reliability, observability, performance, and developer experience. Leverage SOTA LLM and agentic patterns for knowledge graph construction. Establish production-grade operating standards: defining SLOs, implementing quality measures of data within the knowledge graph, governance mechanisms, and safe change-management practices. Partner with engineering, computational linguists, and domain-expe

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role We are seeking a Senior Privacy Engineer to lead the design and implementation of privacy controls across software, cloud, AI, and connected device platforms. The Privacy Engineer will work closely with Design, Product Security, Legal, Compliance, and Product Management teams to ensure personal data is collected, processed, stored, and shared in compliance with applicable privacy regulations, including GDPR, CCPA/CPRA, and other global privacy frameworks. Responsible for establishing and leading privacy engineering practices across the organization, driving privacy-by-design adoption, defining technical privacy strategy, and overseeing privacy risk management for products, services, cloud platforms, AI systems, and connected devices. The ideal candidate combines strong technical expertise with a deep understanding of privacy regulations and privacy engineering practices. What You Might Do Implement Privacy by Design and Privacy by Default principles throughout the software development lifecycle. Conduct privacy impact assessments (PIAs), data protection impact assessments (DPIAs), and

About the Team DoorDash's MarTech Operations team is the connective tissue between our Retention Marketing organization and the tools, systems, and data that power it. As a Senior Associate focused on QA Automation, you'll own the quality backbone for how we build, test, and ship marketing campaigns across DoorDash audiences. About the Role You'll lead the expansion of our QA automation tooling, drive the shift from manual QA to automated QA workflows, help automate the ship review process, and scale multivariate QA and sample testing practices across every audience we serve. This is a highly cross-functional, builder-oriented role for someone who wants to own a strategic quality function end-to-end. You’re excited about this opportunity because you will… Own and expand DoorDash's QA automation toolkit for Retention Marketing campaigns Lead the transition from manual QA to automated QA across all audiences Automate and streamline the ship review process Design and scale Multivariate QA / Sample Testing programs across DoorDash audiences. Partner cross-functionally with Marketing, Engineering, and Data Science to define QA requirements and operational readiness criteria Track and report on QA coverage, defect rates, and campaign quality metrics Build documentation, SOPs, and training that help marketing teams adopt new QA tools and processes with confidence We’re excited about you because… 3+ years of experience in marketing technology, quality assurance, marketing operations, program management, or a similar operational role at a technology company Experience with QA processes for marketing campaigns (peer review, ship review, sample/multivariate testing) or software QA automation Expertise with Retention Marketing technology platforms (Braze, Salesforce, CDPs, or similar) preferred Demonstrated ability to coordinate cross-functional projects – defining milestones, managing dependencies, and keeping stakeholders aligned Comfort working with data to track quality met

We’re hiring a Compensation Specialist to join the compensation team as we continue to grow! Compensation at Datadog is a data-driven team dedicated to constantly improving the way we hire, develop, and support our most valuable asset: our people. In this role, you will support core compensation programs while developing particular expertise in executive compensation, compensation planning for new-market entry, and mergers and acquisitions. You will partner with stakeholders across the People team, Finance, Legal, Tax, Payroll, and other business functions to analyze complex compensation questions and translate findings into clear, actionable recommendations. Whether you're looking to learn from the best or be the best, the People team is dedicated to furthering personal development and team success. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Analyze complex business problems and issues using data from internal and external sources to provide insight to decision-makers including PBPs, People Leadership, and other Senior Leadership at Datadog Support the design, administration, and governance of executive compensation programs, including executive benchmarking and compensation-related materials for senior leadership and the Compensation Committee Assist with annual executive compensation planning processes and the preparation and validation of compensation data used in public-company disclosures Support compensation planning for entry into new countries and markets, including market-pricing approaches, salary structures, statutory compensation requirements, pay practices, and implementation considerations Support compensation due diligence and integration for mergers and acquisitions, including employee census reviews, job and level mappi