The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
- Collect, clean, and preprocess structured data from various sources
- Develop and implement machine learning models and algorithms
- Perform exploratory data analysis (EDA) to uncover insights
- Assist in evaluating and fine-tuning model performance
- Collaborate with cross-functional teams to understand business needs and translate them into data solutions
Qualifications:
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
- Familiarity with Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow)
- Basic understanding of data preprocessing, feature engineering, and model evaluation
- Strong analytical and problem-solving skills
- Eagerness to learn and apply new techniques
