Sr. Data Scientist ML (Python, AWS, SQL) - Irvine, CA - ONLY W2 - (JK)

Central Business Solutions•Irvine, CA

2d•Onsite

About The Position

We are seeking a Senior Data Scientist with strong Machine Learning skills, proficient in Python, AWS, and SQL. The ideal candidate will have a solid foundation in statistics, predictive modeling, and the ability to translate ambiguous data into clear, persuasive business cases for diverse audiences. This role requires the ability to work independently, collaborate effectively in a fast-paced environment, and mentor junior team members. Experience with cloud platforms, particularly AWS, and deploying ML models to production is essential. Familiarity with Generative AI/LLM concepts is a plus.

Requirements

Strong hands-on Python and SQL skills for data science (pandas, scikit-learn, and similar).
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.
Ability 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).
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.
Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or a related quantitative field required.
7+ years equivalent experience in modeling, forecasting, data analytics.
3+ years' experience with AWS (Amazon Web Services) or other cloud platforms.

Nice To Haves

Exposure to GenAI/LLM concepts (RAG, vector databases, prompt engineering) is a plus.
Knowledge of Extract Transform Load (ETL), Data Architecture preferred.
Masters in related field preferred.
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.

Responsibilities

Develop and deploy machine learning models to production environments.
Translate ambiguous data into clear business cases and present them persuasively to technical and non-technical audiences.
Apply strong predictive and statistical modeling skills.
Communicate effectively both written and verbally with internal and external clients.
Work independently with business users and cross-functional leaders.
Solve complex problems using data science, handling higher levels of ambiguity.
Create and deliver effective presentations to multiple audiences.
Mentor junior data scientists and colleagues.
Utilize advanced expertise in data analytic software such as R, Python, and SQL.
Leverage expert knowledge of Microsoft productivity tools: Excel, Word, and Visio.