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Sr. Data Scientist ML (Python, AWS, SQL) Irvine, CA ONLY W2 (JK)
Job Location:
Job Location:
Irvine, CA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
24 September 2026 (9 hours ago)
Posted:
Application Deadline:
22 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Strong hands-on Python and SQL skills for data science (pandas scikit-learn and similar).
Should be strong in AWS suite experience working with AWS Cloud or similar environments and tools for Data Science AI and ML
Ability to deploy ML models to production environment.
Able to take ambiguous data and turn it into a clear business case and present that case persuasively to both technical and non-technical audiences.
Solid grounding in statistics: hypothesis testing regression experimental design (A/B testing).
Exposure to GenAI/LLM concepts (RAG vector databases prompt engineering) is a plus.
Strong predictive statistical modeling skills.
Strong ability to communicate both written and verbally to internal and external clients.
Ability to work independently with business users and cross functional leaders.
Ability to solve for higher ambiguity using data science.
Strong ability to create and deliver effective presentations to multiple audiences.
Advanced expertise using data analytic software such as R Python SQL.
Expert knowledge of Microsoft productivity tools: Excel Word and Visio and other software is necessary.
Ability to work in a collaborative environment and fast paced environment.
Knowledge of Extract Transform Load (ETL) Data Architecture preferred.
Ability to mentor junior data scientists and colleagues.
Qualifications
EDUCATION/EXPERIENCE REQUIREMENTS
Bachelors degree in Computer Science Data Science Statistics Engineering or a related quantitative field required. (Masters in related field preferred)
7 years equivalent experience in modeling forecasting data analytics.
3 years experience with AWS (Amazon Web Services) or other cloud platforms.
Open-source AI experience preferred.
Data Science Certifications Preferred.
Certified in AWS Cloud Preferred.
Experience in aviation transportation or IoT/telemetry data domain is a plus
Should be strong in AWS suite experience working with AWS Cloud or similar environments and tools for Data Science AI and ML
Ability to deploy ML models to production environment.
Able to take ambiguous data and turn it into a clear business case and present that case persuasively to both technical and non-technical audiences.
Solid grounding in statistics: hypothesis testing regression experimental design (A/B testing).
Exposure to GenAI/LLM concepts (RAG vector databases prompt engineering) is a plus.
Strong predictive statistical modeling skills.
Strong ability to communicate both written and verbally to internal and external clients.
Ability to work independently with business users and cross functional leaders.
Ability to solve for higher ambiguity using data science.
Strong ability to create and deliver effective presentations to multiple audiences.
Advanced expertise using data analytic software such as R Python SQL.
Expert knowledge of Microsoft productivity tools: Excel Word and Visio and other software is necessary.
Ability to work in a collaborative environment and fast paced environment.
Knowledge of Extract Transform Load (ETL) Data Architecture preferred.
Ability to mentor junior data scientists and colleagues.
Qualifications
EDUCATION/EXPERIENCE REQUIREMENTS
Bachelors degree in Computer Science Data Science Statistics Engineering or a related quantitative field required. (Masters in related field preferred)
7 years equivalent experience in modeling forecasting data analytics.
3 years experience with AWS (Amazon Web Services) or other cloud platforms.
Open-source AI experience preferred.
Data Science Certifications Preferred.
Certified in AWS Cloud Preferred.
Experience in aviation transportation or IoT/telemetry data domain is a plus
Required Experience:
Senior IC
