Role and responsibilities

Work with business partners and stake holders to understand the business, formulate the problems, come up with the solutions and communicate them back effectively to non-technical audience.

Lead complex, multifunctional data science projects

Design, develop and implement real-time, highly complex advance machine learning models to solve credit business problems (demand generation, marketing, fraud, credit, account management and collections)

Work with large volumes of data; extract and manipulate large datasets using standard tools such as Python, R, H2O, Hadoop and SQL

Collaborate with engineers to implement models on one of the best data platforms in the industry.

Analyze data to identify trends, perform root cause analysis and test hypotheses.

Communicate complex concepts and the results of the models and analyses to technical and non-technical audience

Mentor and grow junior data scientists

Qualification

Advance degree (MS or PhD) in science or engineering field with 4+ years of relevant experience

Strong problem-solving and communication skills

Proven track record of building and implementing machine learning solutions

Experience in leading cross-functional, highly complex Data Science projects

Data Mining experience in Python, R, H2O and/or SAS. Familiar with various Machine Learning algorithms and Statistical methods

Have a passion for working on big data and professional experience in data mining, statistical analysis, predictive modeling and data manipulation.

Ability to deal with large amount of data and fluency with SQL or SQL-like tools.  

Financial services or eCommerce experience a big plus