Senior Data Scientist: Supply Chain Solutions

Role Purpose

The Senior Supply Chain Data Scientist is responsible for transforming and modelling large and complex data sets that provide valuable insights to the business while contributing towards leveraging data as a competitive advantage for the organization. The role extracts, analyses and interprets data from a range of sources, using algorithmic, data mining, artificial intelligence, machine learning, and statistical tools to uncover trends and patterns that support business objectives. The Supply Chain Data Analyst is a conceptual thinker requiring in-depth technical, analytical, and communication skills to infer meaning from data and translate these into a concise, cohesive, and engaging story and can provide executable insights to the business.

Role Description

• Work with business stakeholders to identify business requirements and model and frame business scenarios that are meaningful and answer business questions.
• Work closely with data and software teams to translate business requirements into fit-for-purpose, robust and scalable solutions.
• Develop, validate, and execute algorithms and predictive models to collect, merge, analyze, extract, and interpret large and complex datasets.
• Use data to investigate complex problems, detect patterns and extrapolate insights that deliver business value and impact.
• Develop data structures and pipelines to organize, collect and standardize data
• Perform sophisticated data preparation to reduce and shape data. Clean and validate data and assure its integrity, accuracy, completeness, and uniformity.
• Adhere to stringent quality assurance and documentation standards using version control and code repositories.
• Test data mining models to select the most appropriate one for use on a project.
• Cross-validate models to ensure their generalization.
• Assess the effectiveness of data sources and data-gathering techniques to improve data collection methods.
• Communicate and present analytical findings, results, and reports to stakeholders, using data visualization techniques to tell compelling stories.
• Effectively structure and plan projects, timelines, and deliverables, weighing business and technical trade-offs as required.
• Conduct research from which to develop prototypes and proof of concepts.
• Share insights across teams to inform collaborative efforts.
• Understand and apply best practices for own work while supporting others to improve delivery standards and adopt best practices.
• Stay updated on the latest research and developments in Data Science and adjacent fields to ensure the latest technology, techniques, and methods are always applied.
  

Requirements

Qualifications and Experience:

• Bachelor’s degree in data science, Operations Research, Computer Science, Industrial Engineering, Statistics, Information Technology, Information Systems, or a related field – (essential).
• Post Graduate Degree in the above or related fields – (desired).
• +6 years’ experience in a Data Scientist/Operations Research/Industrial/Process Engineering or similar role with solid experience applying data mining, modeling, forecasting and mathematical and/or statistical concepts and methodology to support business objectives – (essential).
• Strong proficiency in SQL (I.e., T-SQL), Python, or R scripting for problem optimization, and data science toolkits – (essential).
• Experience building analytical tools to solve business problems - (essential).
• Strong proficiency in MS Office 365 with advanced Excel skills – (essential).
• Experience delivering project outcomes using design thinking, lean and agile principles – (desired).
• Experience in supply chain and logistics environments, particularly ecommerce – (essential).
  

Key Competencies And Work Ethic

• A data specialist with the skill of practicing the art of Data Science. Solves complex data problems using their experience in scientific disciplines.
• Strong analytical thinking skills and highly numerate – Able to collect, organize and assimilate disparate, multiple, and complex pieces of data to draw sound conclusions and arrive at optimal solutions.
• Strong technical aptitude with a passion and excitement for data, new technologies and solutions and its range of possibilities, applications, and value for the business.
• High level of self-motivation and drive to meet and exceed on goals and expectations. Able to work independently and use own initiative to deal with challenges across a range of problem-solving challenges as and when they arise. Detailed, organized and quality focused – Has an affinity for detail, structure and efficiency, balancing planning, and execution. Is diligent and vigilantly watches over work processes, tasks, and outputs to ensure accuracy while independently actioning and correcting any quality concerns.
• Strong communication and presentation skills – Ability to communicate effectively both verbally and in writing. Able to explain and simply complex technical concepts and confidently convey information to a variety of stakeholders. Able to compile visual reports that tells a concise and compelling story.
• Team player and collaborative partner - Works effectively across functions and as part of a multi- disciplinary team. Is collaborative and able to build sound, professional relationships with internal and external stakeholders.
• Ability to work under pressure and under tight time constraints, efficiently prioritizing workloads, balancing multiple and competing priorities and managing time effectively in a high-volume, fast- moving environment.
• Is curious and open to learning with a strong interest in data, discovery and trying new ideas. Curious about exploring and answering business analytics questions.
  

Benefits

Value Proposition

Our client has been established within retail Group to accelerate the use of data in improving customer experience and business operations. Our client has been set up to work in an agile way, with centers of excellence as well as product focused teams. The role will be involved in leveraging the clients’ vast operational data to provide and create unique insights and analytics within the Digital Commerce space, specifically in the Supply Chain Development team. You will have a direct impact on strategic initiatives to be truly customer centric as well as to create visibility on performance across the Supply Chain space. Client is highly entrepreneurial; you will be expected to deal with a high level of ambiguity to ensure that we are able to achieve our vision. We are focused on becoming a high-performance organization that attracts the finest talent to make a difference to our customers.