at Oracle in Springfield, Illinois, United States
Job Description
Job Description
As part of this focus on AI workloads and customers, we’re building a Data Science and ML capabilities to gain us key insights and automation into our super sophisticated and rapidly evolving world of GPU compute infrastructure. We want to drive transformative change in the business enabling us to scale our systems and processes rapidly by an order of magnitude. To do this – we are building a team that will give us end to end intelligence and actionable insights into our datacenter operations. This intelligence will help us optimize our engineering and server management processes in real time. This team will also build learning and feedback loops that enable us to automatically triage and repair complex issues that come up in the operation of these sophisticated Super Compute clusters. We also have an opportunity to drive predictive analytics in GPU datacenter operations enabling us to build order of magnitude improvements in throughput and availability of GPU workloads. This is a great opportunity to work across several engineering teams and drive transformational change that will be key to landing our growth vision in the AI space.
In this role you would lead the software development organization building out and operating this platform and work with some of the largest players in the AI space building systems that operate at unprecedented speed, scale and reliability. You should be a Data Science and ML specialist, and be able to architect broad systems interactions, while being very hands-on, able to work with and understand systems that run and operate large scale GPU data centers. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn.
Career Level – M4
Responsibilities
- Our Directors need to be able to foster excellence in :
+ SLA’s & Reporting – Lead teams and drive SLA’s. This candidate must have the ability to lead team members, internal and external, to meet all SLA’s. They must be able to work around / remove obstacles and understand when escalation is needed to avoid impact to the business.
+ Communication & Status – Effective communication is critical, especially when team members must operate independently in different time zones and still act as a cohesive team unit to external stakeholders. You will be expected to provide consistent, valuable communication across teams and have the ability to drive all related tasks to closure, including on time status reporting to peer stakeholders and executives.
+ Problem solving – Can you see way to resolve the issues of the moment? Can you see risk and how to avoid it? This role requires someone that can spot opportunities and issues and prioritize relative to organizational goals. You must also know how to ask the tough questions of several different teams & get them to support the common goal. Problems can also have downstream impacts, so this role must be good with awareness of overarching project & timelines, identify and manage dependencies and plan to avoid surprises/risks as much as possible.
+ Process Improvement – We need a visionary that can see opportunities for improvement and make changes quickly. This includes all aspects of process from day-to-day Standard Operating Procedures through partner communications to management decision making. You must be prepared to drive change in accordance with limited resources and compressed timelines effectively with awareness and inclusion across impacted teams.
+ Organization – Cloud Program Management in a start-up environment means keeping many projects on track while managing multiple processes, deliverables and tasks, yet, still accommodating the day-to-day Cloud business needs across global time zones. Agility is required as direction can frequently change on a dime with little notice and all other deliverables will still be due.
+ Leadership – Be a voice at the management table. We need people that are prepared to bring new ideas / new ways of working and above all are prepared to constructively engage to get those ideas from discussion through to delivery. We expect the candidate to manage up as well as down and be an active participant in the design and delivery of our service as well as those of the wider CFS group.
Our key values are :
+ Put Customers First with Database Administrator Excellence ! – Be able to communicate complex database upgrade, patching, and migration challenges faced by the DBA team to senior leadership. With senior DBA support, communicate problem resolution and best practices to Partners to deliver the best service availability and creating the best user experience.
+ Expect, Embrace, & Manage Change ! – Ensure we maintain our PCI / HIPPA and ISO compliance by optimizing the change processes whilst maintaining a keen eye on the detail to avoid unnecessary outages caused by poor quality / rushed delivery.
+ Innovate Together & Be Creative ! – Look around constantly for problems to solve that would make your services better. Find the best data sources in the company and in the industry to leverage the creativity of others. Leverage agile development and DevSecOps to implement what you learn.
+ Nail the Basics ! – You must be detail oriented and understand that there is not much time during the day to concentrate quietly and focus. You must be able to plan for changing needs and priorities and always keeping tight on critical details which can never be a low priority
+ Own Without Ego & Support Your Team ! – You must be able to support your team members when demands heighten in other areas outside your core functions to ensure all business is kept at the level of service for the organization to not be impacted.
Required Qualifications
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., modeling structured and unstructured data, applying statistical techniques and reporting results)
+ OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., modeling structured and unstructured data, applying statistical techniques and reporting results)
+ OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., modeling structured and unstructured data, applying statistical techniques and reporting results)
+ OR equivalent experience.
+ 3+ years in a customer-facing role (Internal / external), with project-delivery experience.
+ 3+ years people-management experience.
Preferred Qualifications:
+ Demonstrated experience as an organizational leader. Three plus years of experience recruiting and managing data scientists, program/product managers, business/data analysts, or related roles from industry and/or academia.
+ Functional knowledge of cloud computing and online services business models, including business, technical, financial, and operational measurements.
+ Proven business acumen to understand which projects best support overall business strategy and which types of data insights apply to strategic goals.
+ Excellent quantitative, data modeling, and statistical skills. Examples include causal inference, resampling techniques, mixed effects models, significance tests, etc.
+ Knowledgeable about data storage patterns and tradeoffs.
+ Fluent in tools for navigating and analyzing data (SQL, Azure Data Explorer, R, Python, Databricks, etc.).
+ Experience with machine learning algorithms for forecasting, clustering, classification, recommendation systems, NLP, etc
