Industrial & Functional AI Decision Science Manager

Hispanic Technology Executive Council; Raleigh (NC); On-site; USD 90,000 - 130,000; Full time

Job summary

An established industry player is seeking an Industrial & Functional AI Decision Science Manager to tackle complex business challenges using big data analytics. In this pivotal role, you will lead a team to design innovative models and algorithms that provide actionable insights from chaotic data. Your expertise in Python and machine learning will be crucial as you develop high-impact strategies for clients. This is a fantastic opportunity to drive meaningful change and foster a culture of innovation within a collaborative environment. If you are passionate about leveraging technology to solve real-world problems, this position is perfect for you.

Qualifications

• 5 years of experience in data analysis and manipulation using Python and SQL.
• Experience in implementing machine learning algorithms and data visualization solutions.

Responsibilities

• Address clients' business challenges using big data and predictive models.
• Supervise a team to gather data and convert problems into analytical solutions.

Skills

Python

SQL

Pandas

PySpark

SAS

Data Visualization

Machine Learning

Data Wrangling

Education

Bachelor's Degree in Computer Science or related field

Tools

Microsoft Power BI

Talend

SAS Data Quality

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 clients 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 clients 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 bachelors 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 clients 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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