Description

We are seeking an experienced Data Scientist with 4+ years of hands-on experience in working with complex data sets. You will collaborate with cross-functional teams within the Procurement function to extract insights and support business objectives through data analytics. The ideal candidate will demonstrate proven experience executing data transformations, applying statistical techniques, performing regression testing, and building and fine-tuning classification models. Expertise in Python or R programming, experience working with largely categorical information, a history of working within Azure, and a track record for building automations is all essential for this position. Having a background in procurement or supply chain is an added advantage.

Key Responsibilities

• Data Modeling and Pipeline Management
• Build and fine-tune classification models in the areas of spend management, contract management, and operational effectiveness.
• Develop and maintain data pipelines and architectures for efficient data processing and analysis.
• Stay informed of new techniques for predictive/prescriptive modeling.

• Automation Development
• Identify and action upon opportunities to automate repetitive tasks from within the team.
• Monitor and maintain automated processes to ensure optimal performance.
• Mentor junior team members on automation skillsets.

• Insights & Reporting
• Perform exploratory data analyses, which may include machine learning, to uncover trends, patterns, and insights from large and complex datasets.
• Develop, test, and implement data-driven solutions to support business objectives.
• Oversee the quality and effectiveness of team dashboards and reports.

• Data Management & Quality
• Design and implement data collection and data quality processes.
• Ensure data integrity and consistency across multiple sources and systems.
• Develop and maintain documentation for data processes and analysis specifications.

• Collaboration & Communication
• Work closely with data engineers and business analysts to integrate data insights into production systems.
• Communicate findings and insights to non-technical stakeholders through reports and presentations.

Qualifications

• Education: Master’s degree in Data Science, Analytics, Statistics, Computer Science, Mathematics, Engineering, or a related field.
• Experience: 4+ years of professional experience in data analytics, with a proven track record of building and tuning classification models.
• Language: Proficiency in English is required.

Technical Skills

• Strong proficiency in Python or R programming.
• Experience utilizing statistical methods and machine learning techniques.
• Expertise in building and deploying predictive models.
• Proficiency in Microsoft Azure, including Azure Data Factory and Databricks, or a demonstrated ability to learn new tools and platforms
• Understanding of data visualization tools, with a preference for Power BI.
• Experience with SQL for data manipulation and querying.

• Data Management
• Experience with data manipulation and cleaning tools (e.g., tidyverse, Pandas, Numpy).
• Familiarity with data warehousing solutions (e.g., SQL Server, Amazon Redshift, Google BigQuery).

Soft Skills

• Strong problem-solving skills and attention to detail.
• Excellent communication skills, with the ability to convey technical concepts to a non-technical audience.
• Ability to work independently and as part of a team in a fast-paced environment.

Preferred Qualifications

• Certification in Data Analysis or related fields.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Knowledge of Agile methodologies and version control systems (e.g., Git).
• Procurement Background: Experience in procurement is an added advantage.