Data Scientist (Aspen Office In South Africa) at Aspen Pharma Group

Description

• Constantly review and analyze supply chain data to identify opportunities to optimize OTIF, adherence to plan and cost targets from material supply to finished goods.
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization.

Requirements

Data analysis and reporting

• Create processes and methods to automate information gathering across the value chain.
• Maintain and track accurate data to support supply chain decision making.
• Review, streamline and automate all internal and external Supply chain reports.
• Constantly review supply chain data and ensure necessary inputs are fed into the planning and production cycle.
• Develop and maintain detailed process maps of key value chain processes to assist with optimization and simulation.

Support Supply chain analytic Centre of excellence

• Descriptive --, Diagnostic --, Predictive and Prescriptive analytics: ▪Advise on optimum product rise and work centre allocation and improve level loading in work centres.
• Obtain and analyze data to identify problematic areas and suggest improvements.
• Use analysis results to improve supply chain processes, performance and to reduce costs.

Future Proof our Business

• Develop frameworks to identify the value of implementing advanced tools and technologies within the Aspen value chain (IOT, Big data, Blockchain, Machine learning,
• Support the creation of LP/MIP capability within Aspen and create the framework/Tools for data engineering, digital twin, optimization and simulation.

Skills required.

Background/experience

• 2 to 4 years’ relevant experience, preferably in planning, or analytics centre of excellence role
• Experience in data management and advanced analytics
• Postgraduate degree or diploma in a relevant field

Specific job skills

• Computer literacy with particular proficiency in programming and BI tools

Competencies

• Data management and data engineering skills to enable optimal data process and methodology.
• Expertise in advanced analytics
• Excellent analytical and abstraction reasoning skills, as well as problem solving ability.
• Ability to gather, synthesize, and analyze data using appropriate tools and technologies.
• Must be a team player and able to work with and through others.