Military Veterans are Encouraged to Apply. Here's what you need: Experience with Python and/or R Programming Language Experience with SQL or similar database languageExperience with analytics, statistical modeling, optimization, machine learning, and/or artificial intelligenceExperience in consulting or similar field requiring client collaboration, presentation, and deliveryExperience extracting, aggregating, and structuring data along different dimensionsExperience managing technical teamsBonus points: You have experience with visualization (e.g. Power BI, Tableau, MicroStrategy, d3.js) You have experience with machine learning frameworks (e.g. TensorFlow, Scikit-Learn, Spark) You have experience with RDBMS (MariaDB, PostgreSQL, Oracle) You have experience with Agile Methodology Important Information Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture Federal Services. Accenture Federal Services is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities. Equal Employment Opportunity: All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. An active security clearance or the ability to obtain one may be required for this role.
Associated topics: data architect, data center, data manager, data management, data scientist, data warehouse, data warehousing, etl, erp, mongo database