Data Scientist

As a Data Scientist, you will have the opportunity to manipulate large data sets, integrate diverse data sources, data types and data structures into solutions under management guidance. You will build experience developing analytical approaches to meet business requirements, which involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.

What You Will Do

• Execute code to generate business results, code efficiency improves solution delivery
• Analyze and prepare data for analysis, assembling data from standard and disparate data sources
• Research new and advanced predictive modeling techniques as appropriate for a specific solution
• Work with cross-functional teams to develop ideas and execute business plans
• Develop solution prototypes and help integrate them with the product
• Work closely with software development teams to communicate requirements and ensure quality of end-to-end deliverables of developed analytical solutions
• Contribute to the team knowledge by keeping up with the state-of-the-art in machine learning applied to our domain
  
  

What Experience You Need

• 3+ years’ experience, or equivalent education, in the credit, collections, marketing, and/or fraud analytics arena
• 3 years of experience in Big Data/GCP environment and friendly language such as BigQuery, Python, Scala, etc.
• 3 years of experience in GCP cloud native tools and techniques
• 3+ years hands on experience in python programming and analytics required, experience with R, Python,
  
  

What Could Set You Apart

• Active cloud certification (can be Google Cloud Platform, AWS, or Azure)
• Experience building logistic and linear regression solutions, knowledge of advanced machine learning and deep learning methodologies preferred
• Python, Scala or other statistical packages preferred
• Knowledge of credit bureau, macroeconomic, housing and/or demographic data is preferred
• Business knowledge of mortgage, rental, property data or insurance is preferred
• Master's degree or higher in Statistics, Mathematics, Computer Science, Operations Research,
• Economics or other related discipline; or equivalent analytics work experience is required
• Experience with G suite applications such as docs, sheets, slides etc..
• Ability to build visualizations using Tableau/Spotfire applications.
• Excellent verbal and written communication skills with the ability to interact with multiple departments
• in solving cross-departmental issue
• Detail oriented, proactive, efficient with ability to accurately gather and analyze data
• Ability to clearly present statistical solutions to non-statistical people
• Ability to create new ideas for statistical solutions to customer’s business issues