Senior Associate, Data Scientist

What you will be doing:

Providing business opportunities or actionable insights through data analysis and advanced modeling from complex datasets.

Strategically designing the application of advanced analytics in business by using design thinking methodologies, insights derived from AI/ML, advanced modeling, and establishing an execution plan in alignment with key stakeholders.

Generating initiatives or new analytical ideas to enable new business opportunities.

Being accountable for the successful delivery of advanced model initiatives/design to development, meeting agreed quality standards and business target agreements.

Attracting a working team to generate useful learning and insights from applying advanced analytics & modeling to drive and improve execution performance.

Performing large-scale data analysis and developing effective machine learning or statistical models, including segmentation, classification, pattern recognition, optimization, etc., on large and complex datasets.

Developing, building, and testing statistical and computational models that serve as key inputs for real-time contextual marketing tools.

Communicating findings and building buy-in with key stakeholders through data visualizations.

Interacting and collaborating with product and marketing managers to provide impactful analysis and insights aligned with business objectives.

Working 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.

Who we are looking for:

M.S./Ph.D. in a quantitative field such as mathematics, statistics, data science, computer engineering, or a related field.

3+ 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.