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Oracle Senior Data Scientist in Burlington, Massachusetts

Job Identification : 21000KKM

Job Category : Product Development

Job Locations :

Burlington, Massachusetts, United States

We 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

Qualifications

  • 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.

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse ?big data? sources to generate actionable insights and solutions for client services and product enhancement.

Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Job duties are varied and complex utilizing independent judgment. May have project lead role. 5 years relevant work experience. BS/BA preferred.

About Us

Innovation starts with inclusion at Oracle. We are committed to creating a workplace where all kinds of people can be themselves and do their best work. It’s when everyone’s voice is heard and valued, that we are inspired to go beyond what’s been done before. That’s why we need people with diverse backgrounds, beliefs, and abilities to help us create the future, and are proud to be an affirmative-action equal opportunity employer.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status, age, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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