Data Scientist

HP
Mexico, Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Problem-solving","Analytical thinking","Communication","Organization","Collaboration"]

Strengthen analytics pipelines that support planning, forecasting, and inventory optimization across the HP supply chain network. Partner with data scientists, data engineers, and planning teams to design, test, and scale model-driven solutions in Databricks and GitHub, translating prototypes into reusable production code. Build reproducible workflows using Python, PySpark, and MLflow, develop forecasting and inventory models, and connect outputs to business metrics and decision support tools.

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FursaFursa
HP
HP
6 months ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live
Reposted: similar role first listed 4 weeks ago

Job Summary

Strengthen analytics pipelines that support planning, forecasting, and inventory optimization across the HP supply chain network. Partner with data scientists, data engineers, and planning teams to design, test, and scale model-driven solutions in Databricks and GitHub, translating prototypes into reusable production code. Build reproducible workflows using Python, PySpark, and MLflow, develop forecasting and inventory models, and connect outputs to business metrics and decision support tools.
Location: Mexico, Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and maintain reproducible analytical workflows in Databricks using Python, PySpark, and MLflow.
  • •Apply feature engineering best practices and handle data cutoffs for model inputs.
  • •Translate prototypes into parameterized, reusable code for weekly or monthly production runs.
  • •Develop and evaluate models for short-term forecasting, attach rate tracking, and inventory buffer analysis.
  • •Link model outputs to business metrics (forecast accuracy, bias, service level) and support dashboard/decision tool integration.

Key Requirements

  • •Strong programming skills in Python and SQL, with experience in Databricks, GitHub, and MLflow.
  • •Experience with Pandas, PySpark, and scikit-learn and building regression, classification, or time-series models for business applications.
  • •Familiarity with feature engineering (lag features, rolling averages, categorical encoding) and methods to prevent data leakage.
  • •Ability to create reproducible, parameterized workflow automation for weekly/monthly production runs.
  • •Ability to explain analytical results and model behavior in business terms.
Experience:Supply chainPlanningForecastingInventory optimizationMachine learning
Skills:Problem-solvingAnalytical thinkingCommunicationOrganizationCollaboration
Tech Stack:PythonSQLDatabricksGitHubMLflowPandasPySparkScikit-learnPower BITime-seriesRegressionClassificationFeature engineeringCategorical encoding

Company Brief

HP
Designs and manufactures personal computers, printers, and related supplies, as well as provides software, services, and solutions for consumers and enterprises worldwide.
Industry: Hardware Devices
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Palo Alto, United States
Founded: 1939
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn