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Data Scientist - Remote

Posted 8 weeks ago
Data Analysis
Full Time
Worldwide

Overview

Oportun is a mission-driven fintech that empowers its members with intelligent borrowing, savings, and budgeting capabilities, aiming to broaden financial inclusion.

In Short

  • Join a team of mission-driven Data Scientists.
  • Work with large and diverse alternative data sets.
  • Utilize machine learning and statistical modeling.
  • Develop data products for risk and fraud management.
  • Build automated monitoring tools for model performance.
  • Lead initiatives from project planning to execution.
  • Collaborate with Compliance and Model Risk Management teams.
  • Drive business value through data insights.
  • Foster an inclusive and diverse workplace culture.
  • Work in a high-growth, fast-paced environment.

Requirements

  • Master’s degree or PhD in a quantitative discipline.
  • 3+ years of experience in data extraction and analysis.
  • Hands-on experience with machine learning techniques.
  • Proficient in SQL, Spark SQL, and/or Hive.
  • Strong communication and stakeholder management skills.
  • Experience with AWS EMR and SageMaker is a plus.
  • Familiarity with big data tools like HDFS and Hive is a plus.

Benefits

  • Inclusive workplace culture.
  • Opportunities for professional growth.
  • Mission-driven work focused on financial inclusion.
Oportun logo

Oportun

Oportun is a forward-thinking financial technology company dedicated to empowering individuals with innovative software solutions that enhance their financial independence. The engineering team at Oportun plays a crucial role in designing, developing, and maintaining high-quality software applications that support the company's mission. With a focus on collaboration and agile methodologies, Oportun's engineers are committed to delivering elegant and intuitive systems that improve member experiences. The company values creativity and continuous improvement, striving to create a fun and rewarding work environment while tackling complex technical challenges to drive business growth.

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