Senior Data Scientist
há 4 dias

Job Description

Preferred Qualifications

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:


  • 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.
  • Detailed Description and Job Requirements

    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.

    As part of Oracle's employment process candidates will be required to successfully complete a pre-employment screening process. This will involve identity and employment verification, professional references, education verification and professional qualifications and memberships (if applicable).


    :Product Development


    :Yes, 25 % of the Time
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