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.