Market Intelligence Data Scientist


Job Overview


The Market Intelligence team for Workforce Staffing applies data and insights to optimize the experience and operations for Amazon’s largest candidate population – Tier 1 Associates who bring the magic of Amazon’s industry-leading brand promise for customer fulfillment to life. The pace at which job creation, hiring, and growth must happen to support the scale and complexity of Amazon businesses is a problem Amazon is uniquely qualified to solve for and continually innovate on. Workforce Staffing literally hires by the hundreds of thousands across multiple business lines, job types, and shift configurations. The Market Intelligence team in particular focuses on applying labor market, candidate, and competitor intelligence to uplevel job offerings, mitigate operational risk, best position Amazon for its long-term growth. Come join a team that is continually shaping and writing the future of the hourly worker job offering landscape.

The Market Intelligence Data Scientist is highly capable and highly curious about blending data science, economics, and operations research across internal and external data sources to tell a compelling story of market risk and what we can do about it. You will wrangle data across multiple data sources, apply the right machine learning models, and visualize insights for senior operations and business partners. You will collaborate closely as part of a blended science-based product team blending research, data engineering, visual analytics, and product and program capabilities.

Key Responsibilities
– Identify strategic factors across internal and external data sources that introduce risk to hiring across our full time and part time hourly associate populations
– Evaluate effectiveness and forecast ROI on key decisions to increase Amazon’s employment value proposition
– Build models that improve hiring throughput, optimize hiring to the best-fit labor markets, and best position new launch sites
– Influence key business decisions to proactively optimize labor plans, shift structures, compensation and/or benefits, and other factors to increase Amazon’s appeal across the workforce of the future
– Build predictive models to anticipate hiring volumes and market factors before they occur


· Masters or PhD in Statistics, Economics, Data Science, Applied Science or relevant field of study
· Ability to turn complex problems into simple solutions
· Minimum 4+ years of relevant work experience
· Domestic and international travel up to 10% may be required


· Experience in workforce/people analytics at national and global scale
· Experience in labor economics forecasting
· Deep knowledge of international supply chain strategies and inventory control
· Experience and passion in sustainability practices and supporting technology
· Proven track record of translating data into actionable insights
· Ability to work cross functionally and collaborate with multiple teams
· Develops strong relationships across teams and customers
· Strong analytical experience driving quantifiable returns on investment
· Articulate communicator, able to translate raw data into plain language insights stakeholders can understand
· Ability to self-direct, multitask, and prioritize a constantly evolving workload.
· Demonstrated ability to thrive in ambiguous environments by driving the strategy rather than waiting for a strategy to drive you
· Excellent writing skills

Amazon is committed to a diverse and inclusive workplace.

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