McD Tech Labs

McD Tech Labs

CA, US

Data Scientist, Machine Learning Evaluation

We are currently looking for a talented data scientist to work with technology, engineering, and other data scientists to define success of machine learning software and help establish our ML evaluation team at McD Tech Labs. You will be tasked with defining how we evaluate quality of our machine learning algorithms and models that operate with petabyte-scale worth of customer interaction data. What evaluation data sets make sense? How do we craft and curate such data sets? What data mining techniques and systems are necessary to identify such data across diverse regions and stores worldwide?

The ideal candidate will have previous experience using advanced analytics techniques and creating ML models to tackle diverse and large-scale ML data challenges.

Responsibilities:

  • Work with teams of data scientists in the ML evaluation work of our AI Drive Through Product

  • Collaborate with technology, engineering, and other data science team leaders to define success of machine learning software development lifecycle.

  • Create and own overall ML model and system evaluation datasets, methodology, process and frameworks

  • Craft test cases and regressions suites for ML models operating at petabyte scale.

  • Employ data mining and statistical techniques to tackle diverse and large-scale ML data challenges.

  • Provide cross-functional teams and leadership with regular updates and strategic guidance regarding ML model quality through evaluation test framework

Qualifications:

  • Master’s or PhD Degree in Information Technology, Computer Science, or a related quantitative field

  • Minimum of 5 years of experience in data science with proven experience leading a team of Data Scientists

  • 3+ years of Python experience working with big-data

  • Strong understanding of high-performance algorithms, and data mining

  • Experience in developing state-of-the-art data science techniques for large-scale machine learning products

  • Strong understanding of ML data pipelines, from defining, collecting to crafting ground truth and training/testing data sets for ML models

  • Demonstrated ability to facilitate and coordinate complex data design and development activities across teams in agile sprints with minimal direction

Qualifications:

  • Master’s or PhD Degree in Information Technology, Computer Science, or a related quantitative field

  • Minimum of 5 years of experience in data science with proven experience leading a team of Data Scientists

  • 3+ years of Python experience working with big-data