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
- Data mining or extracting usable data from valuable data sources
- Using machine learning tools to select features, create and optimize classifiers
- Carrying out the preprocessing of structured and unstructured data
- Enhancing data collection procedures to include all relevant information for developing analytic systems
- Processing, cleansing, and validating the integrity of data to be used for analysis
- Analyzing large amounts of information to find patterns and solutions
- Developing prediction systems and machine learning algorithms
- Presenting results in a clear manner
- Propose solutions and strategies to tackle business challenges
- Collaborate with Business and IT teams
Qualifications
- Bachelor's degree (or equivalent) in statistics, applied mathematics, or related discipline
- Three or more years of experience in data science
- Proficiency with data mining, mathematics, and statistical analysis
- Advanced experience in pattern recognition and predictive modeling
- Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS)
- Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects
- Willing to be placed in a banking or financial company
