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# Data Scientist

- **Company:** Bayside Solutions
- **Location:** Cupertino, CA, United States
- **Salary:** $104,000.0 - $124,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Computing, Apache Lucene, Code Review, Databases, Data Stores, Data Warehousing, Apache Hadoop, Hadoop Distributed File System, Apache Hive, Python (Programming Language), SQL Azure, Operational Databases, Productivity Software, SQL Databases, Data Processing, Scripting, Large Language Models, Apache Spark, Apache Flink, Cassandra, Presto, Splunk
- **Published:** August 26, 2026
- **Apply:** https://www.dice.com/job-detail/e01be63e-b029-4c57-8374-677d9a991b0b

## About the Role

* 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.

## Description

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., * 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.


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