Data Scientist (Senior Officer)

Job Brief :

Responsible for proposing, prototyping, deploying, and maintaining various analytics and data science solutions for the marketing team, to ultimately optimize the efforts wherever needed and applicable, this includes predictive models tackling areas such as churn, propensity to x modeling, credit analytics, as well as segmentation, customer scoring and complex data manipulation and reporting.

Key Responsibilities:

• Propose, prototype, and deliver to the consumer analytics and data science needs and roadmap
• Prototype and build models from scratch, to support business needs; covering the full cycle from building frameworks till algorithms selection and final “packaging”
• 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 all experimentation with different algorithms
• Maintaining our customer scoring models, refreshing with new attributes as they become relevant and continuously customizing the outputs for to support tracking and utilization
• Continuous update of our customer profiles master databases, through fusing and blending data from various sources, as they become available/ relevant
• Continuous pursue and support in improving existing models by adding new features/ attributes
• Support models and data pipelines migrations between environments
• Support ad-hoc data extractions, complex data manipulations and advanced queries and reports
• Serve as a reference point and authority on all things analytics and data science for the wider teams

Requirements

Education Bachelor Degree in Data Science, Computer Science, Software Engineering, Econometrics, or any other related field.

*A Master's Degree in Data Science or Analytics field is highly advantageous

Level of Experience Advanced Experience in pure-play data science domain, corporate analytics function or data warehouse/ data engineering areas with previous production-level implementations of predictive models and analytics solutions.

Certifications & Licensure

Essential:

• Machine Learning boot camps or relevant online courses certification

Desirable:

• SAS Certified Predictive Modeler (or similar)
• Microsoft Certified: Azure Data Scientist Associate
• Cloudera Certified Associate (CCA) “Data Analyst” or “Spark and Hadoop Developer” (or similar)

Tools & Systems

Essential:

• Python, especially data management and machine learning packages (such as pandas, scikit-learn)
• SQL Querying (preferably using SQL server or hive/impala)
• SAS Enterprise Miner
• Alteryx
• Power BI (or similar visualization tools)
• Microsoft Excel (at power query and VBA macros programming level)

Desirable:

• ETL tools
• Data Modeling and OLAP cubes creation modules
• Graph analysis Hadoop framework
• Natural Language Processing (NLP) tools