Description

Job Description
We are searching for a Principal Applied Scientist to join OCI Planning Strategic Initiative (PSI) team in Nashville, TN this is a critical role in improving operational efficiency, driving cross-functional visibility, and enabling leadership to make data-backed investments and risk-aware decisions. The ideal candidate will be a highly motivated, analytical individual with strong communication skills to help the organization meet its strategic and financial objectives. Responsibilities will include translating disparate and complex data sets into actionable insights across OCI's strategic initiatives. The ideal candidate is a subject matter expert in business operations and analytics, with a passion for data and a strong ability to translate complex information into actionable insights. D eep technical leadership to forecasting, scenario modeling, optimization needed to improve planning accuracy, quantify risk, and guide high-stakes capacity and investment decision at OCI scale. This leader will set scientific direction, establish rigorous evaluation and governance, and partner across planning, engineering, and finance to operationalize decision models into repeatable planning processes and measurable outcomes.

Responsibilities:

Demand, growth, and workload forecasting (multi-level)

• Develop and improve forecasting models for OCI demand/consumption and key drivers (by region, service, customer segment, shape/SKU)
• Build hierarchical approaches (global>region>AD/cluster/service) and reconcile forecasts across levels.
• 
  Quantify and communication uncertainty (prediction intervals, scenario ranges) to support planning decisions.
  
  Capacity planning and supply risk modeling
  
• Translate demand forecasts into capacity requirements (compute/storage/network) considering constraints (lead times, redundancy, placement rules)
• Model Supply risks and constraints (procurement delays, buildout timelines, utilization targets, failure domains)
• Create risk indicators (headroom depletion probability, hotspot detection, time-to-exhaustion

Optimization & Decision Analytics for Planning

• Formulate optimization problems to recommend actions (where to add capacity, how to allocate limited supply, prioritization across regions/services
• Perform tradeoff analysis across cost, performance, availability, strategic priorities.
• Develop scenario tools for "what if" planning (demand shocks, product launches, regional events)
• Measurement, back testing, and model governance

Data partnership & Feature/driver engineering

• Identify and validate leading indicators (pipeline signals, launches, pricing changes, customer ramp patterns, seasonality, macro factors where allowed)
• Improve data quality through anomaly detection, reconciliation, and automated checks.
• Explore and research data and answer strategic business questions, with data transformation, statistical analyses, or machine learning methods
• Fine-tune and optimize algorithms and models to ensure scalability, reliability, and performance at a high level
• 
  Collaborate with data scientists and other stakeholders to understand data needs and develop solutions that meet those needs
  
  Cross-functional influence and communication
  
• Partner with planners, finance/FinOps, capacity engineering and product teams to align on assumptions and actions
• Communicate results to exec and operational stakeholders with clear narratives: drivers, uncertainty, risks and recommended mitigations.
• 
  Drive adoption-ensure models change planning decisions and improve outcomes.
  
  Metrics and KPI design expertise, including defining the north star and guardrail metrics and ensuring metric definitions are unambiguous, consistent, and actionable.
  
  Basic applied ML understanding, familiarity with model types (classification/regression), evaluation metrics (AUC, precision/recall), and core concepts such as feature engineering, model training, offline/online evaluation, deployment/monitoring and iterative improvement. ML algorithms, feature engineering, model training, offline/online evaluation, deployment/monitoring and iterative model improvement
  
  Basic Data Engineering, including building data pipelines, reliability/SLAs for data, governance/definitions, reporting layers, and operational analytics
  
  Experimentation (A/B testing) experience, including designing experiments, analyzing results, avoiding common pitfalls
  
  

Responsibilities
Qualifications:

Proficient in SQL and/or Python development for data analysis including writing complex queries, joining multiple sources, validating data quality, and building analysis-ready datasets; python for analysis using pandas, notebooks, visualizations, and basic modeling.

Experience with ETL/ELT and data modeling concepts such as dimensional modeling, event-event-log design, and semantic layers

Experience building dashboards and BI reporting (e.g., Tableau/Power BI/Looker) to operationalize insights and support decision-making.

Metrics and KPI design expertise, including defining the north star and guardrail metrics and ensuring metric definitions are unambiguous, consistent, and actionable.

Basic applied ML understanding, familiarity with model types (classification/regression), evaluation metrics (AUC, precision/recall), and core concepts such as feature engineering, model training, offline/online evaluation, deployment/monitoring and iterative improvement. ML algorithms, feature engineering, model training, offline/online evaluation, deployment/monitoring and iterative model improvement

Basic Data Engineering, including building data pipelines, reliability/SLAs for data, governance/definitions, reporting layers, and operational analytics.

Experimentation (A/B testing) experience, including designing experiments, analyzing results, avoiding common pitfalls (selection bias, peeking, multiple comparisons)

Business/product problem framing with demonstrated ability to translate ambiguous questions into measurable hypotheses and requirements, and communication tradeoffs clearly

Strong stakeholder management and executive communication skills, including synthesizing complex analyses into clear recommendations for executive audiences.

Qualifications
Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC4

About Us
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Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Requisition #: 328915

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