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Machine Learning Engineer jobs in United States
Data Scientist, Loyalty Exp (8-10 Yrs)
Solanalytics
United Arab Emirates
On-site
AED 293,000 - 441,000
30+ days ago
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Data Scientist, Loyalty Exp (8-10 Yrs)
Solanalytics
United Arab Emirates
On-site
AED 293,000 - 441,000
Full time
30+ days ago
Job summary
A leading analytics firm in UAE seeks a Consultant/Data Scientist with 8-10 years in Data Science, including 5 years in Loyalty Analytics within the Retail Industry. Responsibilities include leading analytics projects, engaging clients, and enhancing loyalty management initiatives. Ideal candidates have strong skills in data analytics tools and methodologies, alongside a relevant degree. This position requires relocation to UAE and offers an opportunity to grow within a dynamic team.
Qualifications
- 8-10 years of core experience in Data Science.
- 5 years in managing Loyalty Analytics programs in Multinational Retail Industry.
- Experience with predictive modeling, machine learning, and data governance is a plus.
Responsibilities
- Lead new analytics use cases and projects for clients.
- Engage clients to understand business needs and propose analytics solutions.
- Provide leadership on loyalty management projects with select customers.
- Contribute to growth and strategic development of analytics practice.
Skills
Data analytics tools
Data modeling
Statistical analysis
Machine learning techniques
Leadership
Problem-solving
Education
Bachelor’s degree in computer science, Statistics, Mathematics, Computer Engineering, Data Science and AI or related field
Post Graduate degree in Computer Science
Tools
Dataiku
SAS
Python
R
SQL
Tableau
Power BI
Hadoop
Spark
Job description
Job DescriptionSol 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 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.
- Client Engagements: Will be working with select clients with Retail footprint for Analytics project execution with innovative solution using data Analytics.
- Identifying Growth Opportunities: Discover potential avenues for client growth through data analytics, technology implementation, and introducing cutting-edge data solutions, including Large Language Models (LLMs).
- Data Engineering Support: Assist in data engineering projects focused 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 conception to completion.
- Continuously identify opportunities for improving analytics processes and methodologies.Client Engagement:
- Engage with clients to understand their business needs and propose suitable analytics solutions.
- Build solutions to client requirement thereby achieving business use case objectives.Growth of Analytics Practice:
- Contribute to the strategic growth and development of the analytics practice.
- Stay updated with industry trends and advancements in data science and analytics.
- Implement best practices and innovative approaches within the analytics team.Loyalty Management Projects:
- Provide leadership and expertise on flagship loyalty management projects with select customers.
- Ensure the successful design, execution, and management of loyalty programs.
- Analyze and interpret loyalty data to provide actionable insights and recommendations.
- 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 with the ability to derive insights from complex datasets.
- 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 practical and impactful solutions.
- Bachelor’s degree in computer science, Statistics, Mathematics, Computer Engineering, Data Science and AI or related field.
- Post Graduate degree in Computer Science will be an added advantage.
- Experience with predictive modelling, machine learning, and data governance is a plus.
- Should be willing to relocate to UAE
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.