Senior Data Scientist

Oportun; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

A leading company in financial inclusion seeks a Data Scientist to innovate using alternative data sets. You will work on developing machine learning models and driving growth through risk management solutions. Ideal candidates will possess advanced quantitative degrees and extensive practical experience in data analysis and machine learning in a fast-paced environment.

Qualifications

• 3+ years of experience with data extraction, cleaning, analysis and building reusable data pipelines.
• Hands on experience with machine learning techniques like Gradient Boosting and Logistic Regression.
• Strong written and oral communication skills.

Responsibilities

• Develop data products and machine learning models for Risk, Fraud, and Collections.
• Build accurate monitoring tools for model performance.
• Lead projects from planning to execution.

Skills

Machine Learning

Data Analysis

SQL

Python

Stakeholder Management

Education

Masters degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics

Tools

AWS EMR

Sage-maker

HDFS

Hive

Job description

We are growing our world-class team of mission-driven, entrepreneurial Data Scientists who are passionate about broadening financial inclusion by untapping insights from non-traditional data. Be part of the team responsible for developing and enhancing Oportun's core intellectual property used in scoring risk for underbanked consumers that lack a traditional credit bureau score.

In this role you will be on the cutting edge working with large and diverse (i.e. data from dozens of sources including transactional, mobile, utility, and other financial services) alternative data sets and utilize machine learning and statistical modeling to build scores and strategies for managing risk, collection/loss mitigation, and fraud. You will also drive growth and optimize marketing spend across channels by leveraging alternative data to help predict which consumers would likely be interested in Oportuns affordable, credit building loan product.

RESPONSIBILITIES

• Develop data products and machine learning models used in Risk, Fraud, Collections, and portfolio management, and provide frictionless customer experience for various products and services Oportun provides.
  
• Build accurate and automated monitoring tools which can help us to keep a close eye on the performance of the models and rules.
  
• Build model deployment platform which can shorten the time of implementing new models.
  
• Build end-to-end reusable pipelines from data acquisition to model output delivery.
  
• Lead initiatives to drive business value from start to finish including project planning,
  communication, and stakeholder management.
  
• Lead discussions with Compliance, Bank Partners, and Model Risk Management teams to
  facilitate the Model Governance Activities such as Model Validations and Monitoring

REQUIREMENTS

• A relentless problem solver and out of the box thinker with a proven track record of driving business results in a timely manner
  
• Masters degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline (Bachelor’s degree with significant relevant experience will be considered).
  
• Hands on experience leveraging machine learning techniques such as Gradient Boosting, Logistic Regression and Neural Network to solve real world problems
  
• 3+ years of hands-on experience with data extraction, cleaning, analysis and building reusable data pipelines; Proficient in SQL, Spark SQL and/or Hive
  
• 3+ years of experience in leveraging modern machine learning toolset and programming languages such as Python
  
• Excellent written and oral communication skills
  
• Strong stakeholder management and project management skills
  
• Comfortable in a high-growth, fast-paced, agile environment
  
• Experience working with AWS EMR, Sage-maker or other cloud-based platforms is a plus
  
• Experience with HDFS, Hive, Shell script and other big data tools is a plus