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| Job Location | Delhi |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Media / Dotcom / Entertainment |
| Functional Area | General / Other SoftwareSales / BD |
| EmploymentType | Full-time |
Some of the things we d like you to do: Data Management Building pipelines from different data sources to prepare core dataset for the engine to work on Data prep and cleanup (missing data, outlier detection, duplications) from internet scale digital advertisement/ survey response data Data Integration (merge, join, subset) Data visualization (Tableau, R, Matplotlib etc. ) Insight Generation Methodology writeups, interpretation of results Applications and generalization (Use cases, automation and scalability evaluation) POVs, 1-pager, vendor evaluation and assessment Technical Programming Coding languages (Python is must, Java & C++ know how is a plus) and Google tools (BigQuery, Airflow, GCP) Comfortable with data retrieval and processing with SQL and NoSQL Solid understanding of relational and non-relational database technology, cloud-based data lake, ETL, data pipeline Understanding of code version management system A bit about yourself: A degree in Engineering (Computer science is a plus) or equivalent field At least 1 year of industry experience in a data-focused role Experience with managing multiple large data sources (structured or not) Ability to use the data to create a story and help create new analytical products or change an existing product in a way that improves company goals and metrics. Knowledge of the data science lifecycle - acquiring data from different sources, exploratory data analysis, scheduling tasks, creating and optimizing modes including validation and interpretation, and finally onward communication of results in a clear and succinct fashion. Hands-on Experience with programming languages (SQL, Python or JAVA) , statistical software packages (R, Python SciPy) would be a plus. Baseline understanding of all the five core competencies: programming, statistics, machine learning, data munging, and data visualization. Ability to communicate your findings effectively to non-technical audiences. Preferred: Knowledge of popular ad serving technologies and supporting analytical and research tools (Doubleclick, Atlas, comScore, Compete, etc. ) What you can expect from Essence Essence s mission is to make advertising more valuable to the world. We do this by employing the world s very best talent to solve some of the toughest challenges of today s digital marketing landscape. It s important that we hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. As an Essence employee, we promise you a workplace that invests in your career, cares for you and is fun and engaging. We believe these factors create a workplace where you can be yourself and do amazing work.,
Keyskills :
spss datavalidation advertising customerrelations datacleaning adserving datascience datamunging dataanalysis datamanagement machinelearning dataintegration codinglanguages xpl at ydataanalysis