Data Scientist

Data Scientist

W2 Contract

Pay Rate: $50 - $60 per hour

Location: Cupertino, CA - Hybrid Role

Job Summary:

We are seeking a Data Scientist for a hybrid contract opportunity. This role supports production data systems and focuses on SQL-driven analysis, investigation, troubleshooting, Python scripting, and data-processing workloads. The ideal candidate is analytically strong, self-directed, coachable, and able to clearly explain and take ownership of their work.

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.


• Ability to code and understand the technical decisions behind submitted work.


• Ability 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.


• Ability 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.

Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate.

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