Data Scientist
صاحب العمل نشط
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
شارك هذه الوظيفة
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
الوصف الوظيفي
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About the job
Description
Job Brief:
Responsible for transforming data into valuable insights that drive strategic decisions, illuminating our understanding of our customer base, supporting our customer value extraction units, and playing a pivotal role in driving growth.
Key Responsibilities - Prototype and build models from scratch, to support base management; from ideation, data extraction, data wrangling, feature engineering to algorithms selection and final “packaging”
- Apply statistical and machine learning techniques on customer data to extract meaningful insights relating to customer behavior and trends to drive marketing decision-making and strategies
- Full management of existing predictive models, including churn and propensity ones through timely, periodical runs, and ensuring the same performance levels are maintained through re-trainings and/or augmentation with new features or experimenting with refined/ different algorithms
- Communicate complex data insights to non-technical stakeholders through visualizations and reports effectively
- Continuous update of our base master views, through fusing and blending data from various sources, as they become available/ relevant
- Work closely with cross-functional teams to understand business requirements, address data-related challenges and provide data-driven solutions
- Identify opportunities for process automation and optimization within the Customer Base Management unit operations and leveraging data-driven techniques to streamline workflows and improve efficiency
- Identify and explore solutions to enhance the Customer Base Management unit’s analytical capabilities
- Support ad-hoc data extractions, complex data manipulations and advanced queries and reports
- Stay up-to-date with the latest advancements in data science, machine learning and current technologies and their applications
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Requirements
Education:
Bachelor's degree in Data Science, Statistics, Math, Operations Research, Computer Science, Software Engineering, or a related field with significant numerical and computational component to it.
Level Of Experience:
Limited Experience in pure-play data science domain, corporate analytics function or data warehouse/ data engineering areas.
Essential:
Technical Skills & Knowledge: - Excellent knowledge of predictive modeling using a variety of algorithms families. Ideally through either SAS or Python; with demonstrated projects
- Excellent knowledge of data processing and preparation, comfortable with both self-service tools (e.g. Alteryx) or script based (e.g. pandas)
- Good knowledge of databases and distributed databases architecture and concepts
- Excellent knowledge in data tabulation, summarization and visualization
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Desirable:
- Basic knowledge of deep learning
- Basic knowledge of Tensorflow
- Basic knowledge of social network analysis and graphs analytics at scale
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Certifications & Licensure
- Data science certification
- Python for data science
- SQL for data analysis
- Data analytics certification
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Essential:
Tools & Systems: - Python, especially data management and machine learning packages (e.g. pandas, scikit-learn)
- SQL Querying (preferably using SQL server or hive/impala)
- Power BI (or similar visualization tools)
- Microsoft Excel (at power query and VBA macros programming level)
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Desirable:
- SAS Enterprise Miner
- Alteryx
- Data Modeling and OLAP cubes creation modules
- Graph analysis Hadoop frameworks
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نوع التوظيف
دوام كامل
المجال
القسم / المجال المهني
مدير قاعدة البيانات / تخزين البيانات (برنامج تكنولوجيا المعلومات)
