Tiger Analytics

Lead Data Scientist – Price Elasticity Modelling

Tiger Analytics

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

Tech Stack

CloudNumpyPySparkPythonPyTorchScikit-LearnSQLTensorflow

About the role

  • Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.
  • We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
  • Apply machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services.
  • Collaborate with cross-functional teams and business partners to define technical problem statements and hypotheses to test.
  • Develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools.
  • Drive current and future strategy by leveraging analytical skills and communicating the results.
  • Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
  • Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks.
  • Collaborate with data scientists to translate models into production-ready code.
  • Implement CI/CD pipelines and manage code repositories using GitHub Enterprise.
  • Design and optimize mathematical programming and machine learning models for real-world applications like Incentive elasticity model.
  • Expereince implementing scenario simulation algorithms.
  • Work independently to break down complex problems into actionable development tasks.
  • Ensure code quality, scalability, and maintainability in a production environment.
  • Contribute to sprint planning, documentation, and cross-functional collaboration.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.
  • Stay connected with external sources of ideas through conferences and community engagements.

Requirements

  • 8 years of experience working as a Data Scientist
  • Hands-on experience with enterprise data science solutions, preferably in retail, inventory management, or operations research.
  • Proficiency in Python, SQL, and PySpark.
  • Experience with Databricks or similar enterprise cloud environments.
  • Experience with production-level coding and deployment practices.
  • Familiarity with basic machine learning techniques and mathematical optimization methods.
  • Proficient in data science libraries and ML pipelines such as; NumPy, SciPy, scikit-learn, MLlib, PyTorch, TensorFlow.
  • Self-starter with an ownership mindset and the ability to work with minimal supervision.