Data Scientist, Big Data Quality

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Exabytes of data in Amazon's data lake feed thousands of systems driving millions of decisions for Earth's Most Customer-centric company.

As the Data Scientist for Big Data Quality, you will partner with BIEs, Data Engineers, and business stakeholders to define a model for data quality scoring quantifying the business impact of regressions and improvements in Amazon's biggest and most critical datasets.

Key job responsibilities

• Provide data-driven guidance and recommendations on strategic questions around data quality.
• Design and analyze experiments and success metrics to identify causal links between data quality measures and business outcomes
• Conduct, direct, and coordinate all phases of research projects, demonstrating skill in all stages of the analysis process, including defining key research questions, recommending measures, working with multiple data sources, evaluating methodology and design, executing analysis plans, interpreting and communicating results.
• Identify opportunities/tests that with the end goal to drive improvements in data quality.

About the team

The Big Data Quality team comprises a TPM, a Data Scientist, and a Data Engineer with a mission to make Amazon's centralized data lake the best in class.

The team is embedded in Clickstream, Amazon's customer website behavioral data team, and works with a dedicated data quality engineering team in Bangalore as well as engineering teams in Seattle, WA and Irvine, CA. Your customers are the thousands of teams publishing data to the data lake, and the thousands more subscribing to that data.

BASIC QUALIFICATIONS

• MSc. degree in Computer Science, Mathematics, Statistics, Economics, Finance, or a Bachelor's with equivalent work experience
• 3+ years of relevant work experience in analytics, data science, data engineering, business intelligence, software engineering, or related field
• Proven experience in building statistical models and/or machine learning models using R, Python, STATA, or other software
• Working experience with SQL or similar database tools

PREFERRED QUALIFICATIONS

• Experience with causal inference, structural econometrics, machine learning,
• Experience with large-scale distributed computing.