Marketing Data Scientist

• Company HP
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

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.
• Works with the business to understand the business domain perspective.
• Effectively tells stories with the data using visualization tools/methods to demonstrate insight impact and business value.
• Assures accuracy, integrity, and compliance of cleansed data.
• Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
• Leads a project team of data science professionals
• Collaborates and communicates with project team regarding project progress and issue resolution.
• 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

• Using statistics, mathematics, algorithms and programming languages.
• Understanding of how to manage disparate unstructured and structured data in a distributed environment.
• Fluent in structured and unstructured data and modern data transformation methodologies.
• Ability to create models to pull valuable insights from data.
• Create stories and visualizations to describe and communicate data insights.
• Ability to use creativity to spot trends and tease out patterns in large datasets.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills; mastery in English and local language.
• Ability to effectively communicate data insights to project team and leadership and negotiate options.

Scope & Impact

• Collaborates with peers, junior engineers, data scientists and project team.
• Typically interacts with high-level Individual Contributors, Managers and Program Teams.
• Leads a project requiring data engineering solutions development.

Education & Experience

• Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
• Typically 4-6 years’ experience including graduate or postgraduate research.