Data Scientist

7 - 10 years

9 - 17 Lacs

Posted:2 weeks ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Responsibilities:

  • Build and maintain univariate time series feature analysis
  • Test and integrate new univariate time series models into IBP process
  • Participate in the development and deployment of complex multivariate forecasting models
  • Interface with IBP process representatives on model trouble shooting and new feature analysis
  • Interface with analytical and subject matter experts throughout SHS organization in the pursuit of improved forecasting outcomes
  • Provide expert consultation for focused reviews with management team when needed.
  • Maintain documentation of and control framework for deployed models and tools

Skill Set:

  • 7 to 10 years of experience
  • 3-5 years of experience with classic time series analysis tools (e.g. ARIMA, State Space Models, VAR, Error Correction Models etc.)
  • 3-5 years of experience with machine learning models including Decision Tree, Regression, Gradient Boosting, and Deep Learning
  • 3-5 years of experience of Python / R coding
  • 3-5 years of experience with SQL coding
  • Experience in working on Azure tech stack
  • Experience building and deploying production time series forecast models
  • Experience managing code repositories.
  • Experience in Decision Science area / Operations Research / Applied Mathematics, Statistics, Data Science or Computer Science.
  • Knowledge on LLMs

Nice to have:

  • 6+ years of experience implementing and managing time series analysis and forecast models
  • 6+ years of experience implementing and managing machine learning models
  • Experience working on projects in Supply Chain Management or Marketing analysis.
  • Experience working with high volume time series forecasting
  • Knowledge of In Vitro Diagnostics market space
  • Experience building & deploying Structural Equation Models
  • Experience utilizing MLFlow
  • Experience working in SnowFlake
  • Familiarity with Azure Databricks
  • Familiarity with M Competition outcomes
  • Experience in GenAI projects
  • Masters in Economics, Operations Research, Applied Mathematics, Statistics, or Data Science

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