Job Requisition ID: 166866
Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world’s most admired and innovative brands. Al-Futtaim Group’s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.
By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day

REQUIRED SKILLS TO BE SUCCESSFUL

• Bachelor’s/MSc in Marketing Analytics, Computer Science, Statistics, or a related field
• 5+ years of experience in customer analytics or data science
• Proficiency in SAP CRM Emarsys, Python, SQL, Databricks, and machine learning libraries (scikit-learn, TensorFlow, PyTorch, ARIMA/SARIMA, Prophet)
• Experience with MLOps, Git, and data visualization tools (Matplotlib, Seaborn, Plotly)

OVERVIEW OF THE ROLE

We are seeking a talented Data Science Manager to join our team. This role is pivotal in executing customer-focused data science projects to enhance marketing effectiveness and customer experience using advanced analytics and machine learning techniques.

WHAT YOU WILL DO

• Implement various predictive models such as lead scoring, conversion prediction, customer segmentation, churn prediction, and next best action/offer recommendations
• Create marketing and customer KPI metrics using statistical techniques and data visualization libraries
• Generate customer insights using RFM analysis, cohort analysis, and sequential pattern mining
• Collaborate with cross-functional teams to deliver actionable insights and drive business growth

WHAT EQUIPS YOU FOR THE ROLE

• Proficiency in logistic regression, random forests, clustering algorithms (k-means, DBSCAN), survival analysis, gradient boosting machines, reinforcement learning, and decision trees
• Advanced knowledge of RFM analysis, cohort analysis, and sequential pattern mining
• Expertise in statistical techniques and data visualization for KPI development
• Familiarity with NLP techniques for text analysis in customer feedback and communications
• Hands-on experience with advanced statistics, machine learning, time series analysis, forecasting, regression, classification, clustering, dimensionality reduction, gradient boosting, neural networks, anomaly detection algorithms, hyper-parameter tuning, and natural language processing techniques
• Strong problem-solving and critical thinking skills, with the ability to communicate technical concepts to non-technical stakeholders
• Project management skills and the ability to work in cross-functional teams
• Strong communication and collaboration skills