Industrial & Functional AI Decision Science Manager
Full time @Accenture posted 2 weeks ago in Information Technology (IT) Shortlist Email JobJob Detail
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Job ID 14145
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Experience 2 Years
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Qualifications Degree Bachelor
Job Description
“Industrial & Functional AI Decision Science Manager (Accenture LLP; Raleigh, NC): Accenture LLP has multiple openings for the position of Industrial & Functional AI Decision Science Manager in Raleigh, NC, and the job duties are as follows:
Address client’s business challenges by using big data and providing new insights from advanced predictive and optimization models.
Collect big data from disparate data sources by interacting with the client’s IT team, and design models, algorithms, and visualizations that will help companies distill insights from huge volumes of chaotic data.
Interpret analytical models, conduct analysis to gain insights into the root of the clients’ business problem, propose potential solutions to their problems, and assist in quantifying improvements in their metrics.
Create high impact business strategies and roadmaps for solution implementation, to help clients reap the benefits of big data analytics on an ongoing basis.
Supervise a team of analysts and consultants to gather data across multiple systems, and interpret clients’ problems and convert them into analytical solutions.
Conduct project and issue management (status reporting, issue reporting, budget reporting) for assigned scope of work, and make decisions that impact the team through regular consultation with senior management.
Adhere to strategic direction set by senior management. Interact with client and internal senior management on a regular basis.
BASIC QUALIFICATIONS:
Must have a bachelor’s degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, Science, Mathematics, or related field, plus 5 years of progressive post-baccalaureate experience in the IT industry.
Must have 5 years of experience in each of the following:
Conducting data wrangling, manipulations, and analysis utilizing Python, SQL, Pandas, PySpark, and SAS;
Utilizing data integration, data management, and data quality tools, including Talend and SAS Data Quality;
Planning, designing, developing, and deploying analytical solutions utilizing Python, Spark, and SAS;
Implementing machine learning algorithms, including Linear Regression, Logistic Regression, Support Vector Machines (SVM), Random Forest, and Gradient Boosting utilizing SAS and Python;
Implementing end-to-end data visualization solutions utilizing Microsoft Power BI and SAS; and
Addressing client’s business challenges by using big data and providing new insights from advanced predictive and optimization models.
Must have willingness and ability to travel domestically approximately 50% of the time to meet client needs.
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Required skills
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