Description

Key Skills:Data Scientist, Recommendation Systems

Roles and Responsibilities:

  • Develop and implement machine learning models to address complex business challenges.
  • Analyze large, diverse data sets to extract insights and inform decision-making.
  • Design and conduct A/B testing to evaluate product features and marketing strategies.
  • Collaborate with cross-functional teams (tech, product, business) to embed data science solutions into products.
  • Utilize Python, R, and SQL for data analysis, modeling, and reporting.
  • Apply strong foundations in statistics and linear algebra to guide model development.
  • Troubleshoot and optimize models, addressing common testing and performance issues.
  • Stay current with emerging trends in machine learning and data science technologies.

Skills Required:

  • Strong hands-on experience in machine learning, predictive modeling, and data science workflows.
  • Proficiency in Python, R, SQL, and related data tools.
  • Solid knowledge of A/B testing, experimental design, and statistical techniques.
  • Experience working with recommendation systems (preferred).
  • Excellent problem-solving, analytical, and communication skills.

Education: Bachelor's/Master's degree in Computer Science, Data Science, Statistics, or a related field.

Education

Any Graduate