HP

Data Scientist

HP

full-time

Posted on:

Location Type: Office

Location: Chennai • India

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Tech Stack

NumpyPandasPython

About the role

  • Run daily/weekly/monthly scenario analyses (shock modeling, lead-time variability, bias/drift detection).
  • Produce forecast cones, velocity assessments, scenario comparison charts, and risk heatmaps.
  • Perform data prep, feature engineering, cleansing, and schema validation.
  • Maintain modeling configs, parameter files, and version control.
  • Support simulation model improvements via testing, QA, and benchmarking.
  • Collaborate with planners to interpret outputs and prepare business presentations.
  • Monitor performance of scenario engines; flag anomalies or broken logic.
  • Document modeling workflows, assumptions, and data dependencies.

Requirements

  • 2–6 years in Data Science, Analytics, or Quantitative Modeling.
  • Strong analytical foundation with Python (Pandas, NumPy) and basic modeling experience.
  • Knowledge of forecasting concepts, basic simulation, statistical modeling, and data QA.
  • Ability to interpret model outputs and translate them into clear action points.
  • Solid data engineering fundamentals (pipelines, joins, schema checks).
Benefits
  • 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).
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonPandasNumPyforecastingsimulation modelingstatistical modelingdata QAdata engineeringfeature engineeringschema validation
Soft Skills
analytical skillscollaborationcommunicationinterpretation of model outputspresentation skills