Job Location: Bangalore
- Bachelor’s Degree
- 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software · 2 years working as a Data Scientist
- Strong background in statistical modeling (e.g., program evaluation, forecasting, time series, panel data, and/or high dimensional problems), economic theory, ML methods, and quantitative methods
- Hands on experience with at least one of the following: Python, Spark
- 5+ years of experience in a stakeholder or customer-facing analyst or scientist role
- 3+ years business experience conducting analyses
- Experience with business partnership
- Excellent communication
Job summary
Do you have a passion for diving deep to uncover key insights that drive critical business decisions? Are you excited about defining new directions and finding answers for complex problems? Are you interested in building forecasting tools to make multi-million-dollar marketing investment decisions with very little historical data? Do you want to work as the voice of Science in a cross functional marketing team focused on tackling some of the hardest business questions within Emerging Countries? If yes, then this could be the role for you!
The Emerging Countries regional marketing team is a group of specialists focused on leveraging data to identify trends and craft strategies to unlock growth of emerging marketplaces cluster. This team is looking for a talented data scientist who can work closely with marketing leaders to identify growth opportunities and build data driven approaches to make high impact business decisions. In this role you will define the problem, build statistical models and analytical frameworks to make key decisions, such as how much marketing to activate prior to receiving any customer signal, support up to senior leadership decision meetings around approving confidential funding requests (PRFAQs), and define & pick up decision processes that today rely on heuristics & proxies. The scientist should be capable to institute structure for problem solving and translate the business objectives into mathematical formulations, conduct deep dives to understand customer behavior and how customers interact with and respond to Amazon’s marketing campaigns on multiple channels in emerging marketplaces, and communicate the results in actionable form to the business leaders.
Key job responsibilities
Being the first such resource within this team you will build science, tools and models needed to produce these recommendations. As part of the core regional team you will own relationships with the senior most decision makers. In parallel, you will work with Scientists, Economists, Product Managers, and Software Developers in partner teams to provide meaningful feedback about stakeholder problems to inform business solutions and increase the velocity, quality, and scope behind our recommendations. Through this all, we will invest in your development to pursue your career goals.
Masters, MBA, or PhD degree in Economics, Business, Finance, Engineering, Statistics, Computer Science, Mathematics, or related field
- 8+ years of experience in a stakeholder or customer-facing analyst or scientist role
- 8+ years business experience conducting analyses using statistical tools
- Marketing industry knowledge and previous experience in working on measurement / causal inference modeling
- 3+ years’ experience with scripting and programming languages e.g. R, SQL and Python, etc.
- 3+ years’ experience with statistical models e.g. multinomial logistic regression
- Experience working with Scientists, Economists, Software Developers, and/or Product Managers
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