Application Programming Interface (API), Artificial Intelligence (AI), Business Case, Business Intelligence, Cloud Computing, Compensation and Benefits, Computer Science, Data Analysis, Data Modeling, Data Science, Deep Learning, Employee Benefits, Engagement Marketing, Finance, Insurance, Intelligence Analysis, Machine Learning, Marketing, Marketing Software, Mathematics, Microsoft Windows Azure, Python Programming/Scripting Language, Sales, Team Player, Use Cases
Job ID : 96451-1
Job Title : Data Scientist
Location : Cary, NC
Duration : 6 months + possible extension
Rate Range: $45 - $55/hour on W2/ C2C (All inclusive)
Introduction
The position sits within the newly consolidated Data and Analytics (D&A) organization supporting the U.S. Business of Client. U.S. D&A assists all business lines of Client's U.S. business (about 2/3 of Client Global by earnings) with everything related to data, analytics, and data science, from data infrastructure, data governance, data engineering, data modeling, data analysis, to business intelligence, data science, and AI.
Required Skills & Qualifications
- Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field.
- 8 years of overall experience in AI/ML engineering and/or data science.
- 5 years of insurance business and/or financial industry experience with sales, marketing, and/or customer engagement analytics.
- Proven experience designing, deploying, and operating production ML and/or GenAI solutions, including APIs, batch, and real-time inference.
- Experience in developing Machine Learning models using Python (preferably in the cloud).
- Prior work experience at client or in client's Industry
Applicants must be able to work directly for Artech on W2
Preferred Skills & Qualifications
- Experience with employee benefits plans is a plus.
- Hands-on experience with cloud platforms (Azure/Databricks).
- Hands-on expertise with Retrieval-Augmented Generation (RAG) architectures, including integrating external data sources and vector databases to enhance LLM outputs.
Day-to-Day Responsibilities
- Lead the solution and a team of data scientists delivering AI and ML solutions for marketing and business engagement use cases.
- Accountability for technical decisions, project outcomes, timelines, and production stability within a defined domain.
- Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use cases.
Company Benefits & Culture
- Comprehensive health and wellness benefits.
- Opportunities for professional development and career growth.
- Inclusive and collaborative work environment.
For immediate consideration please click APPLY to begin the screening process with Alex.