Marketing Data Scientist

1 - 2 years

7 - 10 Lacs

Posted:8 months ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

 
  • You will partner with the teams to understand the insights they require to manage and grow their business and leverage cross-functional teams to develop and land solutions that meet their needs at scale.
  • You are deeply curious and persistent in learning about our products and go-to-market strategy.
Your day to day -
  • You will be responsible for providing data-driven insights including but not limited to Business casing, Deep dives, Modelling, Campaign Performance readouts and optimization.
  • You will also be responsible for delivering accurate, action-driving recommendations to drive business performance and investment optimization. This is an Individual contributor role.
  • Manage multiple analytical projects at a time, in a fast-paced, intense, and results-oriented environment
  • Influence stakeholders to make business decisions in alignment with global measurement approaches
What do you need to bring-
  • Degree in Statistics, Mathematics, Applied Mathematics, Computer Science, Operations Research, Engineering, Economics
  • 1-2 years of experience in analytics, data science or management consulting or equivalent analytical and project management experience
  • Accomplished Contributor, with experience managing high-performing Data Scientists and Quantitative Analysts
  • Experience working within and driving strategy for large, global, complex organizations across multiple stakeholders and teams
  • Exceptional problem-solving skills, with a strong ability to drive towards action and impact
  • Experience in managing analytics projects from inception to delivery, including developing structured solutions
  • Experience with visualizations, dashboards, and reports
  • Experience with data modelling, machine learning algorithms, and data science techniques.
  • Hands-on experience with Python, SQL Mandatory
  • Experience explaining technical concepts and analysis implications to varied audiences and translating business objectives into analysis

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