Data Scientist I, 12 months Contract - FTC, AI Innovation

ENGINEERINGUK; London; On-site; GBP 35,000 - 65,000; Full time

Job description

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Data Scientist I, 12 months Contract - FTC, AI Innovation

Sector: Data Science, Science and Pharmaceutical, Technology
Role: Professional
Contract Type: Permanent
Hours: Full Time

DESCRIPTION

The Amazon ORC Analytics team is looking for a creative problem solver, analytical and technically skilled Business Intelligence Engineer to join our dynamic team. This role requires an individual with excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and data engineering practices as well as proficiency in hypothesis testing, including parametric and non-parametric tests and is familiar with A/B testing, understanding factors like random assignment, statistical power, p-values, confidence intervals, potential biases along with strong grasp of frequentist statistics.

The ideal candidate will help us to build data pipelines and robust metrics decks, perform advanced statistical analysis, and measure the success of our model deployments. If you have a knack for translating complex data insights into actionable strategies and can communicate these effectively to both technical and non-technical audiences, we'd love to hear from you!

Key job responsibilities

1. Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations.
2. Ability to clearly articulate assumptions, methodologies, results, and implications.
3. Able to present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding.
4. Design and implement metrics to measure the success and effectiveness of classification models by understanding the nuances and potential pitfalls.
5. Use visualization tools and develop data pipelines to publish the metrics to internal and external stakeholders.
6. Implement various sampling techniques with the ability to handle issues arising from sampling, like sampling biases.
7. Complete statistical tests like hypothesis testing, including parametric and non-parametric tests and is familiar with A/B testing.

BASIC QUALIFICATIONS

- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- Experience as a data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources

PREFERRED QUALIFICATIONS

- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.