Data Scientist, Loyalty Exp (8-10 Yrs)

Sol Analytics is seeking a Consultant / Data Scientist to join our team of growing professionals. The ideal candidate would have a minimum of 8-10 years of core experience in Data Science, including managing loyalty programs. A minimum of 5 years of managing Loyalty Analytics programs in the Multinational Retail Industry is required. The successful candidate will : Lead and ideate new analytics use cases and projects for our clients. Contribute to the growth of our Analytics practice. Provide leadership for our flagship loyalty management projects with select customers. Location : Dubai / Abu Dhabi Roles and Responsibilities : Key Role Client Engagements: Work with select retail clients on analytics project execution, providing innovative data solutions. Identifying Growth Opportunities: Discover avenues for client growth through data analytics, technology implementation, and new data solutions, including Large Language Models (LLMs). Data Engineering Support: Assist in data engineering projects, focusing on building data transformation pipelines on cloud platforms. Analytics Use Case Ideation Ideate and develop new analytics use cases and projects for clients. Lead the implementation and execution of analytics projects from start to finish. Identify opportunities to improve analytics processes and methodologies. Client Engagement Engage with clients to understand their business needs and propose suitable analytics solutions. Build solutions aligned with client requirements to meet business objectives. Growth of Analytics Practice Contribute to the strategic growth of the analytics practice. Stay updated on industry trends and advancements in data science and analytics. Implement best practices and innovative approaches within the team. Loyalty Management Projects Provide leadership on flagship loyalty management projects. Ensure successful design, execution, and management of loyalty programs. Analyze loyalty data to extract actionable insights and recommendations. Expertise Proficiency in data analytics tools and platforms (Dataiku, SAS, Python, R, SQL, Tableau, Power BI). Strong understanding of data modeling, statistical analysis, and machine learning techniques. Experience with big data technologies (e.g., Hadoop, Spark) is a plus. Strong analytical and problem-solving skills. Excellent leadership and team management skills. Strong communication and presentation skills. Ability to engage with clients and understand their business requirements. Problem-solving mindset with a focus on delivering impactful solutions. Qualifications : Bachelor’s degree in Computer Science, Statistics, Mathematics, Computer Engineering, Data Science, AI, or related fields. Postgraduate degree in Computer Science is an advantage. Experience with predictive modeling, machine learning, and data governance is a plus. #J-18808-Ljbffr