Data Science Senior Manager

Data Science Senior Manager (Accenture LLP; New York, NY): Accenture LLP has multiple openings for the position of Data Science Senior Manager in New York, NY, and the job duties are as follows:

• Lead and manage teams to deliver transformative and innovative client projects on-time and on-budget.
• Analyze and collect customer requirements/needs through face-to-face interactions.
• Organize and manage regular meetings to review progress and address requirement changes.
• Produce quantitative analyses by collecting and analyzing data to assist clients with decision making, policy formulation, process re-engineering.
• Develop decision support tools (applications, models, processes) addressing the specific customer needs and requirements that End-to-End has been engaged to resolve.
• Produce reports, presentations, and other deliverable materials to leave and share with clients.
• Co-create with clients to shape and sell project work.
• Architect how to use Applied Intelligence capabilities to drive client transformation for industry or functional use cases.
• Perform data-driven storytelling through quant analysis, dashboards, and data visualization.
• Guide teams on analytical and AI methods and approaches.
• Manage client relationships to foster trust, deliver value and build the Accenture brand.
• Drive consulting practice innovation and thought leadership in your area of specialization.

BASIC QUALIFICATIONS:

Must have a bachelor's degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, Management, or related field, plus 7 years of experience (of which 5 years must be progressive post-baccalaureate experience) in Data Science. Alternatively, the employer will accept a master's degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, Management, or related field, plus 5 years of experience in Data Science.

Must have 5 years of experience in each of the following:

• Developing and writing ETL (Extract, Transform, Load) conversion routines to store, locate, and retrieve specific documents, data, and information; and
• Writing, updating, and maintaining supply chain algorithms to handle specific jobs, including tracking inventory, and storing or retrieving data.

Must have 4 years of experience in data analysis and automation of tasks to maintain and control the use of reports by using ETL, data modeling, or big data.

Must have 3 years of experience in each of the following:

• Building supply chain planning models, including forecasting models, and safety stock policies and consumption simulations in Excel or Python;
• Team and client management in data science projects;
• Writing SQL code using PLX Scripts and BigQuery; and
• Building interactive dashboards for supply chain planning and reporting using tools, including PLX dashboards and Power BI.

Must have willingness and ability to travel domestically approximately 50% of the time to meet client needs.

To apply, please click the 'APPLY' button.

Pursuant to the New York Transparency Bill, the offered wage for this role is $220,200.00 per year.

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About Accenture
Accenture is a leading global professional services company that helps the world's leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services-creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.
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