Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services-all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 537,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com .
In today's business environment, growth isn't just about building value-it's fundamental to long-term business survival. So how do organizations sustain themselves? The key is a new operating model-one that's anchored around the customer and propelled by intelligence to deliver exceptional experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clients-by harnessing talent, data and intelligence to revolutionize their operating models.
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Operations is one of four services that make up one Accenture -the others are Strategy and Consulting, Interactive and Technology.
Job Description:
The Data Scientist Associate Principal will be part of Accenture Operations Data 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 models
- Integrate 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
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Qualifications
Basic Qualifications:
- Masters with 3 years of working experiences 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 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, Reliability Models, Markov Models, Stochastic models, Bayesian Models
- Experience leading or collaborating with a team of data scientists in developing and delivering machine learning models that work in a production setting
- Knowledge of UNIX or Linux environments
- Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc.
- Experience working with large data streaming technologies like Spark, Flink, etc.
- Familiarity with relational databases and intermediate level knowledge of SQL
- Ability to think creatively to solve real world business problems
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