Data scientist (W2 only)

• 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