DEPARTMENT: Analytics

JOB TITLE: Data Scientist

REPORTS TO: Director of Analytics

JOB PURPOSE: A Data Scientist at Net Pay Advance, Inc. will develop and implement advanced analytics for analyzing data problems surrounding the day-to-day business and provide solutions across a range of functions. This includes customer segmentation, optimization, predictive analytics, and machine learning based decision making. They will also utilize machine learning solutions, along with advanced statistical math and algorithms, to provide accurate and timely data support, analysis, and maintenance on a variety of models, reports, and projects. The Data Scientist works closely with the other Data Scientists on analysis and prediction of trends while supporting cross-functional teams on the day-to-day delivery of projects and initiatives.

ESSENTIAL EXPERIENCE, DUTIES and RESPONSIBILITIES

RESPONSIBILITIES

• Contribute using SQL and R or Python languages to the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Find, clean, and integrate data into usable and helpful information.
• Identifies and utilizes machine learning, data analysis, and measurements effectively to identify performance trends, shortfalls.
• Identify campaigns, strategies, and processes that drive highest results.
• Turn data into insight: segment, cluster, model and mine to better understand behaviors and trends.
• Analyze why things happened and predict what could happen in the future based on data.
• Identify gaps in current data systems, drive and contribute to development of systems to bridge gap.
• Plans and executes ongoing strategies including maximization of technologies and processes.
• Responding with urgency to high priority requests from senior business leaders.
• Adhere to professional conduct standards as defined by company guidelines.
• Take initiative to make things better and provide solutions for challenges.
• Demonstrate commitment to continued personal and professional improvement.
• Supports management and advocates in day-to-day operations.
• Anticipate operational needs based on volume/expansion and make recommendations.
• Drive change ? produce clear, understandable visualizations and reports to share with Senior Management.
• Any other duties as assigned.

QUALIFICATIONS

• BS, MS or PhD in Computer Science, Statistics, Applied Mathematics, or a related field (with 3+ years of experience preferred).
• In depth knowledge and understanding of underwriting desired.
• Background in data mining, machine learning, statistical analysis, and modeling.
• Strong SQL abilities and experience with massive relational database systems.
• Programming skills in R or Python and experience with related machine learning packages.
• Proven track record of assisting business decisions with accurate data and analysis.

COMPETENCIES

• Ability to produce significant output with minimal waste of effort.
• Plans, organizes, and schedules time in an efficient, productive manner.
• Ability to structure and process qualitative or quantitative data and draw insightful conclusions from it. Exhibits a probing mind and achieves penetrating insights.
• Doesn?t let crucial details slip through the cracks or derail a project.
• Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship.
• Ability to communicate well, including the ability to take complex topics and create relatable narratives for different audiences.
• A decisive individual with excellent organizational skills and the ability to multi-task effectively

The above statements are intended to describe the general nature and level of work performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel in this position.