Data Scientist

Key Roles And Responsibilities

• Design and implement advanced analytical models to identify trends, patterns, and relationships in complex datasets
• Develop and deploy machine learning algorithms and predictive models to forecast demand, sales, and other key metrics
• Collaborate with cross-functional teams to understand business needs and identify opportunities for data-driven decision-making
• Extract, clean, and prepare large datasets for analysis using tools such as SQL, Python, and R
• Communicate findings and insights to stakeholders, using data visualization and other techniques to present results
• Stay up-to-date with the latest trends and techniques in data science and identify opportunities to incorporate these into the organization's processes and strategies
• Provide guidance and mentorship to junior members of the data science team

Qualifications

• Strong background in statistics, machine learning, and programming
• Experience working with large and complex datasets in the retail and FMCG industry
• Excellent communication and collaboration skills
• Ability to work effectively with cross-functional teams

Technical Skills

• Proficiency in programming languages such as Python and R
• Experience with data visualization tools such as Power BI and IBM Cognos
• Knowledge of machine learning algorithms and techniques
• Familiarity with database management systems and SQL.

Competencies

• Accountability & Ownership L3
• Analytical Thinking L3
• Business Intelligence L2
• Computer Programming & Coding L2
• Conceptual Thinking L1
• Customer Focus L3
• Drive Performance L1
• Drive Results L1
• Impact & Influence L1
• Initiative L3
• Interpersonal Understanding L3
• Inventory Management L3
• Project Management L3
• Result Orientation L3
• Team Development L1
• Team Leadership L1
• Team Work L3