-140409200338.png)
About this role
Qualification: --------------- - Ph.D. or Master’s Degree in Statistics, Mathematics, Computer Science, any other quantitative or relevant field. Quota: -------- - Open Merit Experience: ------------- - Having 5-7 years of experience with 2 years in data modeling and data analysis. Job Description: ------------------ - Undertaking data collection, preprocessing and analysis. - Building models to address business problems. - Presenting information using data visualization techniques. - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. - Assess the effectiveness and accuracy of new data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. - Develop company A/B testing framework and test model quality. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Strong problem-solving skills with an emphasis on product development. - Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. - Experience working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and techniques. - Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc. - Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. - Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. - Experience using web services: Redshift, S3, Spark, DigitalOcean, etc. - Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. - Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc. - Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. - Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc. - Age Relaxation is already included in maximum age.