Specialist, Advanced Modeling

Job Responsibilities

• Strategically design the application of advanced analytics in business by using design thinking methodologies, insights derived from AI/ML, and advanced modeling. Establish an execution plan and align with key stakeholders.
• Generate initiatives or new analytical ideas to enable new business opportunities.
• Be accountable for the successful delivery of advanced model initiatives/designs to development, ensuring agreed quality and business target agreements.
• Attract a working team to generate useful learning and insights from applying 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.
• Communicate findings and build buy-in with key stakeholders through data visualizations.
• Interact and collaborate with product and marketing managers 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.
• 6+ years of experience in solving analytical problems using quantitative approaches.
• Excellent understanding of the fundamentals of statistics.
• Strong experimental design and analysis skills.
• Strong machine learning and deep learning techniques.
• Work experience in natural language processing (NLP) is a plus.
• Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources.
• Ability to communicate complex analyses in a clear, simple, and actionable manner.
• Working knowledge of SQL and relational databases and analysis tools such as Python, R, SAS, SPSS, 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.