Software Engineer in Test


  • Austin, TX
  • Permanent
  • SQL

  • Python

  • R

  • Hadoop

  • Machine Learning

  • AWS

  • Job Posted: Monday, February 12, 2018

  • Expires On: Wednesday, March 14, 2018

  • Job Type: Permanent

  • Duration: 1+ years

  • Desired Experience: 3-5 years

  • Work Authorization: Resident/Citizen, Citizen, H1-B, EAD

Role Summary:


We are looking for a well-rounded Software Engineer in Test who has an academic background in statistics as well as hands on Machine Learning experience. We are looking to find someone who can be an advocate (both within Skillgigs and externally with our clients) for applying Machine Learning approaches to marketing challenges.

Role Description:


The ideal candidate will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches.

Research and develop statistical learning models for data analysis

Collaborate with product management and engineering departments to understand company needs and devise possible solutions

Keep up-to-date with latest technology trends

Communicate results and ideas to key decision makers

Implement new statistical or other mathematical methodologies as needed for specific models or analysis

Optimize joint development efforts through appropriate database use and project design Software Test qualifications and skills


Role Requirements:

Bachelors or graduate degree in computer science or related field

A minimum of 5 years applied analytics experience

End-to-end experience developing approach/methodology given business need, ETL, data quality analysis, model development and validation (machine learning or statistical), scoring, presentation of results and deployment into production environment (including AWS, Azure, Google Cloud)

Strong experience with predictive models and clustering (segmentation)

H2O experience a plus