Data Science Researcher

The role involves managing custom market research projects of various scopes and contributing to the development of new solutions and products in collaboration with other teams. You should possess rich experience in the market research industry, with a strong understanding of Primary research, especially online quantitative research. Additionally, you should have hands-on experience with advanced modeling techniques on survey data such as Regression, Key driver, Correspondence maps, TURF analysis, Factor analysis, etc. Proficiency in research and analytics tools like SPSS, R, or Python is required. Your responsibilities will include utilizing various statistical analysis methodologies to provide solutions aligned with client objectives. You must demonstrate expertise in research data interpretation, with a minimum of 3 years of experience in primary research and modeling, including key-drivers, random forest, TURF, segmentation, etc. Experience in advanced survey analytics techniques such as segmentation, clustering, regression, and driver analysis using tools like SPSS, Q, R, or Python is essential. As part of the role, you will be responsible for running market simulations, analyzing study data, and presenting conclusions and recommendations with minimal supervision. You should also be adept at conducting branding and brand equity studies, including Marketing Mix Modeling, Market Lift, Multi-Touch Attribution, etc. Experience in Trade-off analysis like MaxDiff, Conjoint analysis, DCM would be beneficial. Furthermore, you should be capable of effectively communicating complex model results in non-technical terms to clients, providing clear interpretations and actionable insights. Your role will involve preparing and delivering study results to clients, as well as offering consultation on research designs and methodologies. Required qualifications include an MSc/B.Tech with a strong statistical background, proficiency in Python or R, excellent communication skills, problem-solving abilities, and an analytical approach. You should be detail-oriented, a self-starter, and capable of thriving in a fast-paced environment. Proficiency in Microsoft Office applications (Word, Excel, PPT) and knowledge of platforms used in market research are essential.,