Principal Data Scientist

Job Description

Analyze, design develop, troubleshoot and debug software programs for commercial or end user applications. Writes code, completes programming and performs testing and debugging of applications.As a member of the software engineering division, you will analyze and integrate external customer specifications. Specify, design and implement modest changes to existing software architecture. Build new products and development tools. Build and execute unit tests and unit test plans. Review integration and regression test plans created by QA. Communicate with QA and porting engineering to discuss major changes to functionality.Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. Leading contributor individually and as a team member, providing direction and mentoring to others. BS or MS degree or equivalent experience relevant to functional area. 7 years of software engineering or related experience., Principal Data Scientist HyderabadOracle Applications Labs (OAL) runs Oracle software that runs Oracle. OAL is responsible for implementing, running, and improving nearly all of Oracles Enterprise On-Premise and Cloud Applications. We use Oracle s business requirements as a test bed for innovation. We often are ahead of the standard product road map and build extensions and custom applications to meet the needs of our 120,000-employee, Fortune 100 Company. Once proven, our ideas and innovations quickly find their way back into the core product. We also ensure that Oracle is always Oracle s best reference for our enterprise applications and analytics solutions and platforms.We are seeking to grow the data science capabilities with brilliant and diverse individuals with exceptional technical ability. This is a challenging role that will stretch your knowledge and curiosity, while at the same time is a great opportunity to learn new skills and work within an unusually talented, global community at OracleAs a Principal Data Scientist, you will be responsible for driving the top-level data science strategy for OAL. You will be the go-to person and provide guidance to enable Machine Leaning and AI development and be a hands-on person inventing advanced innovative algorithms, and to solve challenging business problems. The role requires that you have an extensive background in machine learning and data mining. You will be defining reference architecture, ML/AI life-cycle, technical platform and development processes that helps other OAL teams to deploy ML/AI capabilities for their application and analytical solutions. You will be a team player who is eager to both teach and learn daily, that is proactive and self-motivated and has excellent communication skills.Key Responsibilities:Define and document the full life-cycle of data science products development from data collection, aggregation, feature engineering, visualization, productionization, and monitoringComplete end-to-end execution of the data science processes experimentation and documentationSolve business and technical problems with robust and statistically sound use of rigorous scientific methodologies and creative use of algorithms using AI, machine/deep learning and predictive modelling techniquesMake consistent use of solid verbal, interpersonal and written communication skills to carefully document findings and share results with various stakeholdersWork effectively with global teams located in multiple geographical locationsActively participate as contributor or leader in a team of peer data scientists, understanding the collaborative and transparent relationships with engineering and product teams and the ways of working of an agile environmentWork effectively with global teams located in multiple geographical locationsAble to present complex analysis results to both technical and non-technical audiences.Qualification:An advanced degree in Computer Science, Statistics, Engineering, Mathematics, or another relevant quantitative field7+ years of proven track record of data mining and data sciencePractical experience with machine learning algorithms for classification, regression, clustering, recommender systems, reinforcement learning, dimensionality reductionA proven track record in developing, innovating, and applying advanced algorithms to address practical problems and in building new predictive analytic productsPractical experience in feature engineering, feature evaluation, feature selection and automation of such tasks, model interpretation and visualizationDomain expertise in one or more of Software, technical or digital marketing, manufacturingProficiency with several years experience in more than one of Python, PySpark, R, Java, C++, Scala, and SparkExperience with big data processing engines like Spark, Kafka is a plusProficiency in using query languages such as SQL and its adaptationsExperience with horizontally scalable data stores such as Hadoop and other NoSQL technologies such as Map Reduce, Spark, HBase, etc., and associated schemasWorking experience in data warehousing, data integration, and visualizationExperience with application of Agile and iterative development practices and DevOps processesLead, Influence, and guide other data scientistsTeam player with great communication and presentation skills.

Keyskills :
machinelearningpythondataanalysissqlanalyticsdataminingdatacollectiondatawarehousingdataintegrationigdatadatascienceglobalteamsdataprocessingcomplexanalysis