Senior Data Scientist, Digital Marketing, Testing

Key Skills

Agile methodologies, Big Data Technology, Data science techniques, Data Transformation, Digital Marketing, Effective communication skills, Statistics

Job Description

Responsibilities

• Mines data using modern tools and programming languages.
• Defines and implements models to uncover patterns and predictions creating business value and innovation.
• Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives.
• Ties insights into effective visualizations communicating business value and innovation potential.
• Maintains proficiency within the data science domain by keeping up with technology and trend shifts. Contributes to industry data science domain initiatives.
• Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and accuracy and data compliance.
• Collaborates and communicates with project team regarding project progress and issue resolution.
• Communicates and drives data insights/innovation into the business.
• Represents the data science team for all phases of larger and more-complex development projects.
• Provides guidance, training and mentoring to less experienced staff members.

Knowledge & Skills

• Extensive experience using statistics, mathematics, algorithms and programming languages to solve big data challenges.
• Fluent in structured and unstructured data, its management, and modern data transformation methodologies.
• Ability to define and create complex models to pull valuable insights, predictions and innovation from data.
• Effectively and creatively tell stories and create visualizations to describe and communicate data insights.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills; mastery in English and local language.
• Ability to effectively communicate data insights and negotiate options at senior management levels.

Scope & Impact

• Collaborates with peers, junior engineers, data scientists and project team.
• Typically interacts with high- level Individual Contributors, Managers, Directors and Program Core Teams.
• Leads multiple projects requiring data engineering solutions development.
• Drives design innovation.

Education & Experience

• Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
• Typically 6-10 years’ experience including graduate or postgraduate research.

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