Data Scientist Job in Isocrates Madtech Private Limited

Job Description iSOCRATES is seeking data science and machine learning fresher to join the growing Data Science team. The Data Scientist 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. Key Qualifications Prior experience with machine learning- theory and practice, particularly neural networks and sequence-based models Prior experience using statistics and machine learning software, such as Python Sci-Kit, Tensor Flow, Weka or MATLAB Prior experience with R, Java or Python along with an understanding of CS fundamentals and object-oriented programming Prior experience with model-building and algorithms Prior experience with Hadoop or Spark is a plus Prior experience with Business Intelligence tools is a plus Work on analytical reports, weekly internal/client report, PPTs as necessary Description As a data science and machine learning fresher, 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. You will be trained on ETL and data integration project along with database query languages. Education Currently pursuing or recent students in Masters or Ph.D. program in Math, Statistics, DS Engineering or related fields are strongly encouraged