Data Scientist
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Job Location:
Monthly Salary:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Description -
Role Summary
The Principal Data Scientist is the technical and strategic owner of scenario planning across the organization. This role defines the global scenario architecture ensures alignment with IBP and S&OP leads multi-domain modeling (demand/supply/network) and drives the adoption of simulation optimization and agentic AI-based scenario engines. Acts as a senior advisor to Directors and VPs.
Key Responsibilities
Design and govern the enterprise-wide scenario planning framework including templates taxonomies and scalability standards.
Build multi-layer simulation frameworks (deterministic stochastic Monte Carlo empirical).
Define relationships between scenario outputs and planning decisions (e.g. SL trade-offs buffer logic allocation rules capacity constraints).
Lead cross-functional scenario reviews with Finance Category Factory Ops and Regional Planning.
Identify and formalize structural drivers of risk: forecast drift bias lead-time volatility cannibalization velocity shifts market shocks.
Architect the technical foundation for the scenario engine (configs abstraction layers ML/optimization modules).
Drive integration into IBP/S&OP cycles including automated updates and governance.
Mentor Expert and Specialist DSs; define capability roadmap for the scenario DSC (Data Science Center of Excellence).
Represent DS in executive forums; simplify technical concepts for senior leadership.
Ensure compliance with model governance explainability auditability and risk controls.
Required Skills & Experience
10 years in Data Science Decision Science Optimization or Scenario/Risk modeling.
Deep knowledge of scenario planning stochastic methods optimization theory and forecasting analytics.
Experience designing large-scale decision systems for planning (IBP S&OP supply/demand).
Strong Python engineering architectural design capability.
Familiarity with Gurobi/OR-Tools PyMC Monte Carlo simulation engines and time-series decomposition.
Experience building frameworks not just models; ability to define system-level abstractions.
Excellent communication and executive influencing capability.
Preferred Experience
Led scenario engines in global supply chains (consumer electronics FMCG automotive).
Experience with agentic AI orchestration and LLM-assisted decision systems.
Job -
Data & Information TechnologySchedule -
Full timeShift -
First Shift (India)Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP Inc. provides equal employment opportunity to all employees and prospective employees without regard to race color religion sex national origin ancestry citizenship sexual orientation age disability or status as a protected veteran marital status familial status physical or mental disability medical condition pregnancy genetic predisposition or carrier status uniformed service status political affiliation or any other characteristic protected by applicable national federal state and local law(s).
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Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
