Data Science

Manager Data Scientist MLOPS - GOPT - Remote

Remote
Work Type: Full Time
Hiring Data Scientist for an A.I.-powered digital banking lending product company (Well established)
Mode of work: Remote
Experience: 4 - 6 yrs

#datascientist #fintechopenings #machinelearning #MLopenings#

Responsibility:

  • Develop data products and models used in managing credit/fraud risk and customer lifetime valuation and provide frictionless customer experience for various products and services Oportun provides.
  • Build end-to-end reusable and automatic pipelines from data acquisition to model development to model output delivery through partnership with data and production engineering teams.
  • 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. 
  • Lead, coach and partner with the DS and non-DS team to deliver results 
  • Communicate and partner with third party data vendors.
Skills:

  • A relentless problem solver and out of the box thinker with a proven track record of driving business results in a timely manner
  • Comfortable in a high-growth, fast-paced and agile environment
  • Master’s 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).
  • 3+ years data science experience in developing and deploying Machine Learning models
  • Hands on experience leveraging machine learning techniques such as Gradient Boosting, Clustering, 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 using SQL, Spark SQL, and Python/Pyspark
  • 3+ years of experience in designing, developing and leveraging model platform/MLOps, or 3+ years of hands-on experience with engineering/SW development
  • Excellent written and oral communication skills
  • Strong stakeholder management and project management skills is a plus
  • Experience working with AWS EMR, Sage-maker or other cloud-based platforms is a plus

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