Data Scientist

  • BHO Tech
  • San Francisco, CA, USA
  • Sep 20, 2020
Full time Engineering

Job Description

In this role, you’ll build and implement novel machine learning and deep learning algorithms to combat fraud and help scale the risk we take on.

Responsibilities

    • Understand the fraud and risk processes inherent in our product and how to minimize the same.
    • Creatively leverage new and existing data to increase the effectiveness and efficiency of our decision-making infrastructure
    • Work with engineers to design machine learning solutions that operate quickly and effectively at scale
    • Partner with operatives to quickly respond to rapidly evolving threats
    • Make business recommendations to the executive and cross-functional teams (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information

Requirements

  • 4+ years industry experience developing machine learning models at scale from inception to business impact. Leadership opportunities also available
  • Risk, fraud detection experience preferred but not a requirement.
  • You've earned a: (a) Ph.D. in Machine Learning, Statistics, Optimization, Physics, or related field, with experience building production-ready ML models and systems; or (b) MS in CS or related field with 3+ years of experience in implementing and deploying large scale ML solutions
  • Deep understanding of and experience of modern machine learning techniques such as classification, recommendation systems, and other shallow learning techniques, data analytics, and statistical models
  • Deep experience with ML/DL toolkits: Tensorflow, scikit-learn, XGBoost, Numpy, Scipy, Pytorch. SparkML.
  • Strong programming skills - Python preferred. And intermediate to advanced knowledge of SQL and ability to wrangle data from many disparate data sources
  • Experience developing and deploying machine learning and/or deep learning solutions into a production environment
  • Ability to build tools to monitor the performance of models in production and ability to differentiate the
  • The versatility to communicate clearly with both technical and non-technical audience
  • Demonstrated leadership and self-direction and willingness to both teach others and learn new techniques
  • Deep learning experience preferred but not a requirement
  • Technologies we use: MySQL, R, PHP, Python, AWS, Snowflake, and Looker, among many others.

If you are up for it, apply today!

Best Regards,
Kris
Kris Young
Account Manager
BHO Tech
San Jose, San Francisco CA
Phone: 866 816-1615 x 823
kris@bhotech.com
www.bhotech.com