Data Scientist

Duties and Responsibilities

• Use SQL to analyze, investigate, and troubleshoot data issues in production systems.
• Identify where data issues originate, determine the type of incorrect data, correct issues, and help implement code changes to prevent recurrence.
• Create Python scripts using existing team templates and tooling.
• Write and support Spark jobs in a cloud environment.
• Collaborate with team members through code review and approval processes.
• Use large language models as productivity tools while retaining ownership of, and the ability to explain, all work produced.
• Work collaboratively in a hybrid environment.

Requirements and Qualifications

• Master's degree required.
• Strong SQL proficiency, including Presto SQL or Spark SQL.
• Demonstrated ability to use SQL for data analysis, investigation, and troubleshooting, beyond report generation.
• Scripting-level Python experience.
• Able to code and understand the technical decisions behind submitted work.
• Able to explain code and analysis line by line and maintain ownership of work produced with AI-assisted tools.
• Experience or familiarity with artificial intelligence and large language models.
• Experience with Azure SQL Data Warehouse.
• Strong documentation skills.
• Self-directed, curious, coachable, and willing to receive code-review feedback.
• Able to work in a hybrid, collaborative environment.

Preferred Qualifications

• Experience writing or supporting Apache Spark jobs.
• Experience with Amazon Web Services.
• Exposure to data science and machine learning.
• Experience with Splunk.
• Experience with Cassandra, CockroachDB, Lucene, or similar databases and data stores.
• Experience with Hadoop or HDFS.
• Experience with Flink.