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
