Responsibilities: - Possesses strong analytical/logical thinking and communication skills - Collaborate with the data warehousing team, ensuring that data infrastructure supports the needs of our analytics team and validating data quality - Coordinate with business planners and decision makers to translate business questions into verifiable hypothesis and data models - Develop clear, concise, actionable models and recommendations from mountains of data - Advocate for exploration of interesting data anomalies or patterns that may provide more explanatory detail about customer behaviours or predictive value to the business - Partner closely with business and technical teams to understand their project objectives and provide data-driven solutions and recommendations - Design and develop data preparation components and processes that extract and transform data across disparate databases for reporting and analytics, ensuring integrity of analysis data by developing the requirement specifications and assisting the development and testing of data tables - Ensures solutions are scalable, repeatable, efficient and effective - Work hands-on on various analytics problems and provide thought leadership on problems that we are working on - Interact with onsite team as well as client on daily/weekly basis to gather requirements/provide updates - Be involved in the development of the company through pre-sales/operational support Qualifications: - 4-7 years of database experience with advanced SQL skills; experience researching and manipulating complex and large data sets (both distributed and non-distributed) - Proficient in one or more scripting languages, such as Python or Scala - Experience working with complex analytical tools such as R. - Experience with data visualisation tools, such as Tableau/Spot fire/Qlikview - Experience in statistical techniques such as Regression, Clustering & Time Series Forecasting, etc. - Proven ability to dig-in and understand the data and to leverage creative thinking and problem-solving skills to create new data models - Strong understanding with data infrastructure, data warehouse, or data engineering - Coordinate with business planners and decision makers to translate business questions into verifiable data models and hypothesis - Deeper and wider in forecasting, causal inferencing, NLTK, Recos, Application of latest like MAB, RL in DS use cases, exposure to ML architecture and experience in optimizing, multi-threading and parallel processing DS algos. - Experience in harmonizing data from complex containers, data modelling and feature engg. on one end and productionizing the algos and DS artifacts on other end. - Work with engineers to develop, test, and maintain the accurate tracking, capturing and reporting of key data - Knows MS Excel & PowerPoint - Bachelors in Engineering or Masters in Statistics/Economics

Bangalore

Delhi NCR

Chennai

Tredence - Data Science 

Tredence - Data Science  ,Job Description for Tredence - Data Science  in Tredence Analytics in  Bangalore Delhi NCR Chennai for (4-7) years of experience. Apply Now!

Job Description for Tredence - Data Science  in Tredence Analytics in  Bangalore Delhi NCR Chennai for (4-7) years of experience. Apply Now!