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    Data Scientist - Amman, الأردن - Umniah

    Umniah
    Umniah Amman, الأردن

    منذ أسبوع

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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
    • 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
    • Desirable:
    • Basic knowledge of deep learning
    • Basic knowledge of Tensorflow
    • Basic knowledge of social network analysis and graphs analytics at scale
    • Certifications & Licensure
    • Data science certification
    • Python for data science
    • SQL for data analysis
    • Data analytics certification
    • 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)
    • Desirable:
    • SAS Enterprise Miner
    • Alteryx
    • Data Modeling and OLAP cubes creation modules
    • Graph analysis Hadoop frameworks
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