| Company: | Alghanim Industries |
|---|---|
| Job Role: | Data Scientist |
| Experience: | 1-5yrs |
| Vacancy: | Not Mentioned |
| Qualification: | BE/BTech, ME/MTech Relevant Experience |
| Salary: | Best in Industries |
| Location: | Kuwait City |
| Join us on Telegram | Click Here |
| Apply Mode: | (Offline or Online) |
| Deadline: | Not Mentioned |
Data Scientist Jobs in Kuwait City Alghanim Industries Hiring Data Scientist, Apply Now
About the company
Alghanim Industries is one of the region’s largest, privately-owned multi-national companies. We are proud to employ over 15,000 people in 30 businesses across 40 countries in the Middle East & North Africa, Turkey, and emerging Asia. We’re an established, successful commercial enterprise, building and growing our own brands and managing global partnerships. We’re market leaders in almost every sector we operate in, including retail and consumer electronics, food and beverage, automotive sales and services, engineering and maintenance, insulation, pre-engineered steel building, logistics and warehousing solutions, fast-moving consumer goods, office automation, advertising, insurance, consumer credit, and travel. More importantly, we’re a people business. We’re committed to developing customer-centric, empowered, and engaged teams and enabling them to do their best. We’re always looking for new talent to join our ever-growing family – men and women at every stage of their career journey who want to share their knowledge, skills, and experience.
level Mid-Senior level
Employment Full-time
Industries Retail Food & Beverages Consumer Services
Job Role
As a data scientist, you will be responsible for insight generation by building data mining and statistical models to support Customer Value Management (CVM), loyalty programs and commercial objectives of Business Units.Responsibilities:
Data Mining & Advanced Analytics model development–Applying expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand user interactions
–Actively use built-in data analytics models, including customer segmentation, churn prediction, propensity modelling and next-best activity; continuous update and adjustment of model parameters and performance tracking of the analytical models
–Build advanced predictive analytics models offline by using programming languages such as R, Python, SQL
–Set up and conduct large-scale experiments to test hypotheses and drive campaign development
–Stay on top of changing conditions by retraining and testing the model regularly; enhance it whenever necessary
–Monitor models’ accuracy to catch any degradation in its performance over time
–Automate the monitoring of the models by developing customized applications that report and track the model’s performance
–Stay up to date with latest techniques and methods to evaluate data, conduct research to develop prototypes and proof of concepts, as well as look for opportunities to use
Insight generation– Actively seek and identify where data science can provide value to business areas across the BUs, provide solutions to BUs analytical problems and validate the solution performance
–Translate model outputs into actionable insights for business units and feed cross-BU campaign development
Reporting
–Active use of built-in reporting tools; day to day report generation and maintenance using BI tools and be involved in any new tool selection and deployment
–Engage with stakeholders to ensure that data insights are effectively communicated through the most appropriate data visualization and navigation tools
Skills and Qualifications:
•Background in Applied Math, Statistics, Physics, Engineering, or Computer Science; Advanced degree strongly preferred•3+ years of experience with data science and statistical analysis in a business, marketing
•Examples of domain expertise of interest are: predictive modeling, churn analysis, time series forecasting, computer vision, text mining, recommender systems, market basket analysis, segmentation, graph analytics with strong programming skills in Python or R
•Experience in manipulating data sets through statistical software (eg R, SAS, Alteryx) or other methods; experience in SQL or other programming languages
•Ability to explain and discuss mathematical and machine learning technicalities to a business audience
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