Senior Data Scientist

Job Description

*Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc.As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.Duties and tasks are varied and complex needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience., *Preferred QualificationsWe are looking for a Senior Data Scientist who has strong analytical skills in the areas of data mining, forecasting and optimization and has the ability to work in an agile environment and work with cross-functional teams responsible for product design, development, integration and testing. As part of the Oracle Retail Science R&D group, you will be designing and prototyping analytical approaches to solve challenging retail business problems in close collaboration with product management and solution architects. Our team develops new ways to help retailers forecast sales, set prices, plan assortments and categories, and optimize their supply chain execution. Our customers are the major retailers in all market segments and geographies. Some of the products developed by this group are listed here: https://www.oracle.com/industries/retail/insight-science-suite.html Responsibilities

• Define analytical approaches and solution methodologies for solving retail business problems in close collaboration with product management and solution architects.
• Develop and validate prototypes using statistical programming languages (like R and Python) and optimization software applications.
• Test proposed solutions on real data.
• Write algorithmic specifications for forecasting, optimization, and data mining engines.
• Work closely with the development team to explain the business and analytics requirements.
• Present findings to internal and external audiences.
• Create patents and research innovative and forward-looking solutions for solving business problems.
• Review the deliverables throughout development to ensure quality & traceability to requirements and adherence to all quality management plans & standards

• Expertise in machine learning methods such as classification, clustering and deep learning, and strong knowledge of machine learning algorithms such as Naive Bayes, SVM, Decision Tree and Random Forests.
• Hands on experience in building predictive models.
• Experience with econometrics methods including regression techniques (such as OLS, MLE, univariate or multivariate analyses) and Statistics and Probability techniques (such as Bayesian methods).
• Experience with modeling and formulating optimization problems and knowledge of optimization algorithms for solving linear and non-linear optimization problems.
• Proficient in analytic/statistical programming languages such as R or Python.
• Experience with optimization solvers like Gurobi and CPLEX is a plus.
• Publishing and presenting analytics research and results.
• Able to balance and prioritize multiple concurrent projects effectively.
• Eager to learn and work in an agile environment.
• Self-motivated, responsible, and accountable.
• Excellent communication skills.
• Master s degree or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Computer Science, or related fields.
• 5+ years in designing and developing data-driven solutions for enterprise; Retail/SCM experience preferred.

Keyskills :
machine learninganalyticssqlalgorithmsoracle dbastrong analytical skillsdata miningsupply chainoracle retaildeep learningproduct designstatements of work sow