Company Name:-
Accenture

Job Location:-
San Diego, CA

Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionAccenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations.

Combining unmatched experience and specialized skills across more than 40 industries and all business functions – underpinned by the world’s largest delivery network – Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders.

With approximately 469,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives.

Visit us at www.

accenture.

com.

People in the Innovation & Thought Leadership career track drive asset innovation and marketplace reputation within a specific area of expertise.

They grow into thought leadership roles, by increasing the depth of their expertise and reputation as an expert or innovator, and can progress either in role, laterally, or upward.

Job Description:
The Data Scientist Associate Principal will be part of Accenture Operations Data Artificial Intelligence (AI) team.

They will be managing and coordinating with the team that identifies and develops advanced analytics statistical models, machine learning methods and solutions for Accenture operations clients to improve various business outcome indicators.

Key Responsibilities:Successfully develop, conceptualize and test various statistical and machine learning modelsIntegrate the outcomes as real time analytics to elevate Accenture’s ability to create value for clients in areas and through means not immediately apparent to clients
Basic Qualifications:
Masters with 3 years of work experience or Ph.

D.

Minimum 3 years of Data Science experience (from work or academic)
Minimum 3 years of programming experience (Python, C, C++, Java, R, SAS)
Preferred Qualifications:
Preferred degree concentrations – Computer Science, Statistics, Engineering, Physics, Mathematics, Economics
Experience in one or more of the following – Supervised and Unsupervised Learning, Classification Models, Cluster Analysis, Neural Networks, Non-parametric Methods, Multivariate Statistics, Rel

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