Services

We typically work on a project basis, but we can also lend you data scientists for any work that needs to get done, even without a formal project arrangement. Our work typically falls into four broad categories:

Model Development

We will take you from start to finish on any data science, machine learning, or AI project.
  • Ideation
    • What data science ideas are feasible and will generate value?
    • How much time and resources will they require
  • Execution
    • Data collection, generation, exploration, transformation, cleaning, structuring, summarizing, and visualizing
    • Model training, validation, and implementation
  • Maintenance
    • Ongoing measurement of model performance
    • Retraining models and refactoring code

 

Data Science Strategy

We will help you figure out how to activate data science organizationally.
  • Organizational Design & Data Science readiness Assessment
    • Existing and recommended headcount and structure of data science teams
    • Identification of skill gaps and needs
    • Assessment of existing data and tooling infrastructure
    • Analysis of change management challenges, hurdles, and recommendations of creating a data science culture
  • Talent Acquisition
    • Recruiting, interviewing, and assessing candidates
    • Vetting capabilities of other contractors

Extra Data Science Help

We will loan out our data scientists for your miscellaneous data science tasks.

This option is often the best in the following circumstances:

  • You need a data scientist or two for a few, hours, days, or weeks, but do not want to hire full time data scientists
  • There are various tasks to complete and they do not necessarily fit into a typical project format
  • You have an existing data science team that just needs additional help for a limited duration.

Data Science Training

We will give your staff the relevant data science skills for their roles

Often times a little DIY knowledge can go a long way. We structure our one-on-one or small class training classes to meet your specific needs, and ensure that your staff is getting the specific skills they need. Common training topics include:

  • Understanding Data Science, Machine Learning, and Artificial Intelligence conceptually and practically
  • Developing an instinct for data - understanding data structures, why they matter, how they can be utilized, and their limitations
  • Learning Languages and Tools: Python, R, SQL, Tableau, Alteryx, etc.
  • Learning Data Science Techniques: Model development, Validation, Feature Selection, Pitfalls, Visualization, etc.
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