Data Scientist, AWS Talent Acquisition Data Analytics

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Job summary

We are looking for Data Science professionals to drive our analytical revolution in the AWS Talent Acquisition (TA) space. You get the opportunity to work on a ground up rebuild of our analytical capabilities, from data ingress, to complex business transformations to end user reporting and beyond. In this role, you will invent and build on behalf of candidates, experiment and test new ideas, evangelize successes, and drive consistency.

The ideal candidate is an independent Data Scientist who can source data, cleanse, analyze, refine, enrich, model, present, automate and document our business data pipelines. You will always be on the lookout for ways to optimize the information flow process, stay on top of latest trends in data warehousing and be able to coordinate and work on multiple, related projects.

Key job responsibilities

• Collaborate with researchers, software developers, and business leaders to define business processes and provide analytical support
• Leverage code to analyze complex datasets and design, develop and evaluate data transformations to solve specific business problems
• Build scalable, efficient, and automated data processes to facilitate customer-facing reporting
• Automate TA processes to streamline business operations
• Communicate verbally or in writing to business customers / leadership to sharing insights and recommendations

A day in the life

Are you passionate about driving business & customer impact through thoughtful analysis and data-driven insights? Are you a deeply technical individual who enjoys working with customers to transform how a business operates? Are you a builder that excels with ambiguity?

BASIC QUALIFICATIONS

• Degree in Computer Science or related engineering field
• Self-sufficient in data analysis
• Fluent in SQL
• Proven experience in with SQL and large data sets, data modeling, ETL development, and data warehouse, or similar skills
• Experience with AWS technologies stack including Redshift, RDS, S3, EMR or similar solutions build around Hive/ Spark etc.
• Experience operating very large data warehouses or data lakes.
• Familiarity with BI Tools such as QuickSight, Tableau, and MicroStrategy
• Understands data warehouse design
• 7+ years of experience in the analytics or related field

PREFERRED QUALIFICATIONS

• Demonstrable expertise in dimensional modelling and Data Warehouse tuning
• Experience with building data pipelines and applications to stream and process datasets at low latencies
• Strong understanding of information security as applied to handling sensitive data
• 7+ years of experience in the analytics or related field
• Meets/exceeds Amazon’s leadership principles requirements for this role
• Meets/exceeds Amazon’s functional/technical depth and complexity for this role