Senior Leader, Advanced Modeling (Data Scientist)

Job Responsibilities:

• Lead, manage, and coach the team to deliver outcomes efficiently and in a timely manner.
• Strategically design and apply advanced analytics in business using design thinking methodologies, AI/ML insights, and advanced modeling, establishing execution roadmaps and alignment with key stakeholders.
• Generate new analytical ideas and initiatives to enable business opportunities.
• Ensure the successful delivery of advanced model initiatives/designs to development, meeting agreed quality and business targets.
• Attract and lead a team to generate useful insights from advanced analytics and modeling to drive and improve execution performance.
• Perform large-scale data analysis and develop effective machine learning or statistical models, segmentation, classification, pattern recognition, optimization, etc., on large and complex data sets.
• Develop, build, and test statistical and computational models that serve as key inputs for real-time contextual marketing tools.
• Identify business opportunities, actionable insights, and suggest recommendations for data-driven marketing campaigns.
• Collaborate and establish trust-based relationships with stakeholders to provide impactful analysis and insights that align with business objectives.
• Work closely with other BI functions and campaign operations to provide end-to-end analytical solutions and proactively create and test decision rules for marketing campaigns.

Qualifications:

• M.S./Ph.D. in a quantitative field such as Mathematics, Statistics, Data Science, Computer Engineering, or a related field.
• At least 5 years of professional experience in analytical or modeling areas or related fields in a mid-senior management role.
• Excellent analytical skills, with an understanding of the fundamentals of statistics and experimental design.
• Deep understanding of statistical modeling, predictive modeling, propensity models, and machine-learning algorithms and deep learning techniques.
• Full stack experience in data understanding, collection, aggregation, analysis, visualization, productionization, and monitoring of ML products.
• Experience in data engineering, working with big data technology (Spark), and cloud platforms such as AWS, Azure, or GCP is a plus.
• Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources.
• Ability to communicate complex analysis in a clear, simple, and actionable manner.
• Working knowledge of SQL and relational databases, as well as analysis tools such as R, SAS, Python, or Matlab.
• Experience in the Telecom industry is an advantage.
• Experience analyzing data from 3rd party providers such as Google Analytics, Facebook Insights, Adwords, etc., is an advantage.
• Good command of English.