Use a multitude of end-device and end-user data to develop comprehensive and innovative approaches to extract knowledge and insight to power business decisions at product, marketing, e-commerce and procurement fronts, and ultimately deliver business values.

Desired candidate: Minimum of Masters degree in the fields of Computer Science, Statistics or Applied Mathematics preferred. Minimum of 3 years of Data Science experience is required.

Background

Personality: Self-motivated, passionate about the use of data to drive business development, enjoy being challenged by the best and create world-shaping impact.

Education: Master’s degree

Skills

• Expertise in database technology with solid understanding and hands-on skills with SQL Server.
• Proficiency in Python and data analysis toolkits such as: pandas, scikit-learn, matplotlib, etc.
• Experience in cloud data platforms such as GCP, AWS and Azure.
• Experience in digital marketing, Google analytic, CRM and eCommerce.

Work Experience

• Use deep learning and analytical techniques to create scalable solutions for business problems
• Design, development and evaluation of models for predictive learning, content ranking, and anomaly detection
• Analyze and extract relevant information from big data to help automate and optimize key processes
• Design, develop and manage big data-driven predictive models to solve for product experience and improve user engagement using machine learning, user pattern recognition, and data modeling.
• Analyze data covering a wide range of information from user profile to user behavior signals. Identify new engagement patterns through data analysis.
• Experience across key digital marketing properties including, but not limited to, owned websites and social media (Facebook, Twitter, YouTube, Instagram, etc.)
• Ability to synthesize data with user insights that assist in the development of campaigns and content that resonate with the target audience.