Job Title

ResponsibilitiesAnalyze data and generate analytical outputs to deliver insights, evaluate the hypothesis and complete root cause analysis of the business problem.Should have strong analytical skillset to design end to end solution leveraging the latest machine learning (ML) techniques, including data preparation, exploratory data analysis, feature engineering, model selection, model development, model evaluation, cross-validation, and deploymentEffectively present the analytics approach and insights to a larger business audience, Solve business problems which involves:Brainstorm with clients, translate the business problem into an analytical problemSolving the analytical problem using concepts from mathematics, statistics, Artificial Intelligence and Machine learningCreate, maintain and enhance artefacts that can help communicate the solution to clients like dashboards, power point decks, excel sheets etc.Develop algorithms based on the problem statement & domain area. Design & develop new algorithms for optimization, recommendation, attribution, and emerging real-time consumer analytics.Establish mathematical models to represent specific business functions or consumer behavior.Programming of algorithms, and integration into the Kvantum data science framework.Provide Support and add new features in a marketing performance analytics automation platform. Work on the scalability and performance of the automation platform.Minimum RequirementsBE-BTECH / 4-7 years of work experience in data science and statistical modeling.Candidates serving notice period / Early joiners preferred.Good understanding of Statistics and ML ModelsProficiency in SQL.Experience in Python Experience of working on large data/ AIML experience & Statistics basicsShould be okay with consulting nature of work, multiple projects of short/long durations, client delivery, mix of business analytics and data scienceML applications and use cases such as regressions, time series, forecasting, predictive modelling for customer targeting, churn prediction, risk identification, classification algorithms – decision trees, random forest, clustering are preferred.Preferred RequirementsExposure or working knowledge in building Data Science simulation tools.Understanding of package development and standalone deployment of Julia based software.Knowledge of Linux and machine learning algorithms & tools.Exposure to Kalman Filters, Wavelets, or other DSP techniquesExperience of building dashboards on Power BI or Tableau