Data Scientist, Amazon
$97.5-185k
More information about location
The largest online retailer and technology provider
Job no longer available
The largest online retailer and technology provider
1001+ employees
Job no longer available
$97.5-185k
More information about location
1001+ employees
Company mission
To be Earth's most customer-centric company.
Role
Who you are
- 1+ years of experience as a data scientist, data analyst, or a related field
- Proficiency in SQL
- Proficiency with Python or R
- Understanding of Causal Inference concepts (ex/ DiD, matching, IPW, experiment design)
- Strong communication skills across technical and non-technical stakeholders
- High level of comfort creating dashboards
Desirable
- Hands-on experience with Airflow, Sagemaker or deploying ML models in production environments
- Strong familiarity with econometrics
- Contribute to machine learning efforts in fraud or churn prediction
- Experience Ideating, executing, and analyzing A/B tests
What the job involves
- We’re looking for a Data Scientist to join the Money team at Twitch, which supports the systems behind creator payouts, payments infrastructure, and fraud detection
- In this role you’ll focus on Payouts
- Payouts is a high-leverage area that shapes how and when creators are paid and payout eligibility
- You’ll work closely with product, engineering, finance, legal, and data partners to measure and refine our payout-related programs like the Plus Program and support new monetization initiatives to expand who can monetize on Twitch
- While many changes are policy driven rather than AB tested, they require thoughtful measurement, reporting, operations, and causal reasoning
- This role is well suited for someone early on in their data science career who is eager to take ownership of high-impact, cross–functional projects and grow into a senior role
- You’ll need to be comfortable with writing SQL, working with imperfect data, and flexing into data workflows when data engineering coverage is limited
- Analyze and evaluate policy and program changes that affect how creators are paid
- Own reporting and insights related to payout eligibility, earning, and program performance
- Partner with cross-functional stakeholders to inform product and business decisions
- Write, maintain, and validate pipelines to support recurring analytics and reporting
- Apply causal inference methods to estimate the impact of payout changes
Application process
- This position will remain posted until filled. Applicants should apply via our internal or external career site
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Insights
16% employee growth in 12 months
Company
Our take
Amazon is the world's largest online retailer, and is well-known for its disruption of well-established industries. The company is present in numerous verticals, including cloud computing with Amazon Web Services, AI with its range of Alexa devices and a global marketplace more commonly referred to as 'the everything store'. Acquisitions include Ring, Twitch, Whole Foods Market, and IMDb.
More recently, Amazon has been focused on leading the "third wave in digital advertising". Many businesses are now shifting ad dollars to retailers, which before would have been spent with online media platforms. Amazon's seen great success in the space, with its revenue from advertising now higher than its Amazon Prime membership scheme, audiobooks and digital music combined. This growth is particularly impressive considering its digital ad rivals (like Snap, Alphabet, and Meta) have suffered declines due to wider macroeconomic factors and Apple's iOS privacy changes.
Despite its dominant market position, Amazon will continue to be challenged over the next decade, including sustaining AWS's cloud dominance in the face of Google and Microsoft. On top of this, the company's e-commerce division is facing profitability problems despite its 2023 post-IPO debt funding of 8 billion. It will need to find new ways to stay above their competitors.
Steph
Company Specialist at Welcome to the Jungle