Extramarks - Senior Data Scientist

Roles & Responsibilities:

- Conceptualizing and communicating strategic solutions

- Collaborating with internal and external clients to develop clear business and measurement objectives

- Applying various quantitative methods, including regression, multivariate and graphical methods to analyze and interpret information from complex data sources.

- Applying optimization techniques to high-dimensional multivariate problems Lead the integration of disparate, user-level data sets into a unified view of the consumer, and leverage these data for the development of models and media planning applications

- Providing integrated analytical solutions across customers and channels to improve client decision-making.

- Developing a high level of competence in several of Python, R, javascript, Tableau, Excel, and other statistical analysis language and tools.

- Developing and maintaining functional expertise in a broad array of digital marketing subjects, including; database marketing, integrated channel marketing (including web), analytical tools, techniques, and other infrastructure requirements.

- Job Responsibility: Skill Required 2-7.5 years of business experience working in a quantitative role in E-Learning, Management Consulting, Marketing, Advertising, or Technology Consulting. Bachelor's degree in Business, Finance, Economics, Statistics, Marketing, or equivalent experience; a quantitative graduate degree (e.g., Statistics, Applied Economics, Data Science) strongly preferred. Experience with one or more of the following: unsupervised classification methods, linear and logistic regression, discriminate analysis, dimensionality reduction, text mining, complex data management and transformation, multivariate testing. Experience strategically applying advanced analytics to complex business problems involving a wide array of data sets and conveying results, challenges, direction, and timelines to management and clients Fluency with Microsoft PowerPoint, Word, and Excel Expert knowledge of at least one of Python or R. Familiarity with SQL. Knowledge of javascript, Node.js, and Hadoop/Hive preferred and must have worked in Linux Environment.