Data Scientist
5 months ago
Dsquares specializes in offering loyalty programs that bring our customers closer to their consumers. Through our different range of solutions, we deliver an end-to-end experience, managing and executing all technical, operational, and commercial aspects of our customers’ loyalty programs. From full loyalty programs, couponing solutions to interactive directory services, coupled with an extensive network of merchants, Dsquares serves some of the most loved brands in the region.
**Our People is our Brand - Developing seamless loyalty solutions is only possible when we’ve got a great team on our side. Our culture is open and empowering. If you are passionate and driven, you will fit right in.**
**About The Role**:
as a **Data Scientist** you will be responsible for developing and implementing various models and AI products that assist directly in solving business problems as well as support business growth.
In addition to playing a crucial role in driving revenue & delivering personalized experience to each one of our end customers
**Key Duties & Responsibilities**:
- Develop and Maintain Machine Learning Models: Design and develop advanced AI models using statistical and machine learning techniques. Leverage large datasets to analyze trends, customer behavior, and other relevant factors to develop accurate and effective models.
- Building a Full AI Product: AI products are not only about models, you will need to develop a working solution that serves these models in real time or in batches. These models will also require monitoring and re-training.
- Documentation and Reporting: Document the development, implementation, and maintenance of your work, including methodologies, assumptions, and key insights. Prepare clear and concise reports and presentations to communicate findings, recommendations, and the impact on business performance for internal reporting and client side as well.
- Lead and Guide Junior Data Scientists: Guide junior data scientists in growing in their roles, share knowledge & best practices, and help them gain the crucial skills of the modern day data scientist.
**Required Skills &Abilities**:
- Strong proficiency in statistical analysis and machine learning techniques
- Expertise in programming languages such as Python or R
- Experience with data visualization tools, such as Tableau or Power BI
- Ability to clean and preprocess large datasets
- Knowledge of SQL and database management
- Excellent problem-solving and analytical skills
- Strong communication and presentation abilities
- Ability to work independently and in a team environment
- Attention to detail and ability to deliver high-quality work
- Working on at least one full data science project from inception till deployment Familiarity with big data storage and processing frameworks and tools is a plus
**Education & **Experience**:
- A minimum of 3 years of experience in a similar role.
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
- **Benefits**:
- Private Medical Insurance & life cover.
- Transportation & Mobile Allowance Benefit.
- Annual profit share.
- Hybrid working environment.
- Inclusive working environment with enhanced maternity and paternity benefits.
- Work and organizational culture which values learning.
- Regular perks such as company social, wellbeing & CSR events.
- Your Birthday Off.
- Extra day of leave for every year of completion.
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