Remote Lead Data Scientist

at Tiger Analytics

Posted 3 weeks ago 1 applied

Description:

  • Tiger Analytics is seeking experienced Data Scientists to join their advanced analytics consulting firm.
  • The firm specializes in Data Science, Machine Learning, and AI, serving multiple Fortune 500 companies.
  • As a Data Scientist, you will utilize machine learning, data mining, and information retrieval to design and build advanced analytics engines and services.
  • You will work with cross-functional teams to define technical problem statements and test hypotheses.
  • Your role will involve developing analytical models that mimic business decisions and integrating them into data products and tools.
  • You will have the opportunity to influence strategy through your analytical skills and communicate results effectively.
  • Key responsibilities include collaborating with business partners, developing data science solutions using Python, SQL, and PySpark, and managing code repositories with GitHub Enterprise.
  • You will also design and optimize machine learning models, ensure code quality, and contribute to sprint planning and documentation.

Requirements:

  • A minimum of 10 years of experience working as a Data Scientist is required.
  • Hands-on experience with enterprise data science solutions, preferably in retail, inventory management, or operations research.
  • Proficiency in Python, SQL, and PySpark is essential.
  • Experience with Databricks or similar enterprise cloud environments is necessary.
  • Familiarity with production-level coding and deployment practices is required.
  • Knowledge of basic machine learning techniques and mathematical optimization methods is expected.
  • Proficiency in data science libraries and ML pipelines such as NumPy, SciPy, scikit-learn, MLlib, PyTorch, and TensorFlow is needed.
  • A self-starter attitude with an ownership mindset and the ability to work with minimal supervision is crucial.

Benefits:

  • This position offers significant career development opportunities in a fast-growing and challenging entrepreneurial environment.
  • Employees will experience a high degree of individual responsibility, allowing for personal and professional growth.