Title: Data Science Intern
Reports to: iSOCRATES Data Scientist
Location: Mysuru, Karnataka, India
Target Hire Date: Open
iSOCRATES is the leading end-to-end provider of Programmatic Resource Planning and Execution serving publishers, marketers, agencies and their suppliers.
iSOCRATES has three lines of business: Strategic and Operations Consulting, Managed Service Platforms and Business Process Outsourcing. The company is owned by its employees and is headquartered in Saint Petersburg, Florida, U.S.A. with its global delivery center in Mysuru, Karnataka, India.
iSOCRATES is staffed 24/7/365 with proven specialists who save clients’ money and time achieving transparent, accountable performance while delivering extraordinary value. Savings stems from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training.
iSOCRATES is seeking data science and machine learning interns to join the iSOCRATES’s growing Data Science team. The DS Intern works as a member of the team that defines, describes, architects, reports on, analyzes, predicts, and proscribes all audience, campaign and related programmatic media trading data as well as select client-focused Managed Services and Outsourced Services on behalf of select supply-side and demand-side clients. The DS supports all managers and teammates in their day-to-day media trading desk activities across a variety of digital and offline media channels including: display, mobile, video, social, native, and advanced TV/Audio ad products.
As a data science and machine learning intern, you will use your skills and new ones we will help you to gain to help our organization and its clients develop novel solutions to improve the insights and quality of our/their products and services using sample and big data sets. On a day-to-day basis, you will collaborate with experts in the fields of machine learning and media and marketing analytics, apply your knowledge to solve interesting data-driven problems, and work hands-on to implement your ideas.
Currently pursuing or recent students in Masters or Ph.D. program in Math, Statistics, Engineering or related fields are strongly encouraged.
If you are interested and your profile matches the requirements mentioned, please send your profile to email@example.com. This is a paid position with compensation varying based on term length and prior background/skills/capabilities.