Data Scientist, Loyalty Exp (8-10 Yrs)

Solanalytics; Abu Dhabi; On-site; AED 80,000 - 120,000; Full time

Job summary

An innovative firm is on the lookout for a skilled Consultant / Data Scientist to join their dynamic team. In this pivotal role, you will lead analytics projects, engage with clients, and contribute to the growth of the analytics practice. Your expertise in data analytics tools and strong leadership skills will drive the success of flagship loyalty management projects. This position offers a unique opportunity to work at the forefront of data science, implementing cutting-edge solutions and methodologies. If you are passionate about leveraging data to deliver impactful results, this is the perfect opportunity for you.

Qualifications

• 8-10 years of core experience in Data Science, managing loyalty programs.
• 5 years of managing Loyalty Analytics programs in the Multinational Retail Industry.

Responsibilities

• Lead analytics projects for retail clients, providing innovative data solutions.
• Identify growth opportunities through data analytics and technology implementation.

Skills

Data Analytics

Leadership

Problem-Solving

Client Engagement

Communication

Education

Bachelor’s degree in Computer Science

Postgraduate degree in Computer Science

Tools

Dataiku

SAS

Python

R

SQL

Tableau

Power BI

Hadoop

Spark

Job description

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.