Junior Marketing Data Scientist, Ring

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Job Summary:

Amazon is a leading technology company seeking a Marketing Data Scientist to leverage data-driven insights for business strategy. The role involves collaborating with business leaders, developing statistical models, and providing actionable recommendations to enhance marketing and sales strategies.

Responsibilities:

• Partner with senior business and technology leaders to develop data-driven business strategy

• Experience with marketing analytics concepts like marketing mix modelling, LTV modelling, payback analysis, regional tests, ROI analysis etc

• Proven ability to communicate complex technical work to a non-technical audience

• The ability to work with minimal guidance, be proactive and to handle ambiguity and the challenge of quickly evolving goals

• Deliver insights to help shape strategy across a wide spectrum of business and technology areas, including: customer acquisition, customer lifecycle, marketing and sales

• Lead research and development of foundational business enablers, including: acquisition and lifecycle stage propensity models, customer segmentation models, experimentation metrics, marketing attribution models, and forecast and lift models.

• Oversee planning and execution of self-service analytics data infrastructure roadmap using Tableau

• Provide guidance and thought-leadership on analytical best practices to team members and business partners

• Build a Data Engineering team to build requirements for data infrastructure necessary to facilitate efficient analysis and reporting

• Translate analytic insights into concrete, actionable recommendations for business or product improvement

• Building robust tracking of our spend, subs, and revenue data that allows our marketing team to adjust their spend decisions over time

• Building predictive models that allow us to predict LTV and CAC over multi-year timeframes

• Building tools to allow us to measure the LTV impact from specific product experiments, to help product teams maximize impact for long-term LTV

• Helping us measure the impact of widely targeted brand spend on channels like TV and out-of-home

• Experience with MMM modeling

• Manage a roadmap for our marketing analytics measurement framework

• Conduct ad-hoc analysis and provide data expertise around attribution, LTV modelling, ROI analysis, and help uncover insights in our ads and user behavior that allow us to efficiently deploy millions of dollars in ad spend per month

Qualifications:

Required:

• 2+ years of data scientist experience

• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

• Experience applying theoretical models in an applied environment

Preferred:

• Experience in Python, Perl, or another scripting language

• Experience in a ML or data scientist role with a large technology company

Company:

Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, the company is headquartered in Seattle, Washington, USA, with a team of 10001+ employees. The company is currently Public Company. Amazon has a track record of offering H1B sponsorships.