Data Science All Stars Program

Looking for a Rewarding Career in Data Science?

(Above: our latest graduating class)

Our Data Science All Star Program is designed to develop and build top college graduates into highly talented entry level Data Scientists.

As a member of this prestigious program, you can be:

  • Developed into productive client engaged employees
  • Provided with practical approaches for solving business problems through the use of data, analytics and technology
  • Trained in various modeling techniques, applications, and methodologies that are in high demand by our Clients
  • Get to work hands on with some of the largest and most prestigious brands on the planet.
  • Be given a foundation to build a fast-tracking career within the field of Data Science

On top of the content, experience, and exposure you will get from the being a part of the program, you will also be able to leverage all the great perks of being part of our great company.

  • You will become a full-time member of the C2G Partners Family on Day 1 of the program.
  • You will be paid a competitive full-time salary from Day 1.
  • You will have access to all the benefits and programs that employees at our company have
  • You will have access to some of the best talent in the business
  • You will receive feedback and support from mentors
  • You will grow strong relationships within our business and client set

If you are interested in this, please submit an application here.

Submit Application

Here’s what we are looking for in a candidate:

  • Undergraduates and graduates from top schools who have a very strong quantitative background/skill set and problem solving skills
  • Knowledge of predictive modeling and statistical analysis, as well as machine learning, text mining, geo-spatial analytics, time series forecasting, or optimization
  • Primary: Experience with one or more Advanced Data Science software languages such as R, Python, SAS, SQL, SAS, etc.
  • Secondary: Experience with structured or un-structured data analysis tools such as Hadoop, Spark, Hive, Pig, etc.
  • Preferred: Experience with Google Analytics, Adobe Analytics, or other digital analytics tools

We will select the best people from the available candidates  for two potential intake periods – likely to be one in the Spring and one in the Fall.

Here is what career progression could look like:

If you are interested in this, please submit an application by clicking the button below

Submit Application