Data Scientist II - Job ID 638

As a Data Scientist at Kapitus, you will develop models to support programs for the organization. You will then classify or categorize data to make predictions related to the models. Please note this is a hybrid position based in our Arlington, VA office. 

What you will do:

Model Development:

• Design, develop, and deploy machine learning models and algorithms to solve business problems or improve processes for Legal/Collections and Sales
• Build models to classify account transaction data to benefit underwriting process and merchant insights
• Build models including but not limited to credit risk, fraud, and offer acceptance propensity
• Perform through testing and validation of models and support various aspects of the business with data analytics, i.e., experience with data and model governance
• Research, design, implement and validate cutting-edge algorithms/models to analyze diverse sources of data to achieve targeted outcomes, i.e., be up to date on data science research (papers and libraries); be able to build and evaluate models yourself

Advanced Data Analysis:

• Conduct sophisticated analysis on top of models to derive meaningful insights and actionable strategy recommendations.
• Identify new data sources and patterns that add lift to predictive modeling capabilities; come in with existing knowledge about relevant datasets and services to leverage
• Conduct analysis and turn insights into actionable changes for predictive models or policies; have experience identifying and prioritizing the business impact

Statistical Analysis:

• Apply statistical techniques to interpret data, validate models, and ensure robustness of analytical solutions.
• Deliver informative and effective findings, results and recommendations from statistical analysis to stakeholders, both technical and non-technical audiences
• Recommend ongoing improvements to methods and algorithms currently in production

Collaboration:

• Work closely with cross-functional teams such as engineering, product management, and business stakeholders to understand requirements and deliver solutions.

What we are looking for:

• MS in Statistics, Economics, Finance, or other related quantitative field
• Strong understanding of Computer Science fundamentals
• 3-5 years of relevant experience in applying data science techniques to real-world problems
• Proven track record of building new models and improving existing models
• Strong attention to detail; excellent communication and project management skills
• Thorough understanding of statistical modeling techniques
• Strong proficiency Python and SQL for data manipulation, analysis, and modeling
• Strong understanding of Software Development Lifecycle (SDLC)
• Experience with exploratory data analysis and visualization