Information Technology_USA - USA_Developer

Collaborate with architects, data engineers, platform engineers, DevOps, product teams, and business stakeholders to deliver enterprise AI solutions. Key Responsibilities: Lead a team of Data Scientists delivering AI and Machine Learning solutions for marketing and business engagement use cases.

Request ID: 103859-1
Title: Data Scientist 
Location: Cary, NC
Duration: 6 months
Pay Range: $60 - $65/Hour on W2/C2C (All inclusive)

Role Value Proposition:

• Join the newly consolidated Data & Analytics (D&A) organization supporting the U.S. business.
• Build Machine Learning and Generative AI solutions that power marketing campaigns and business engagement initiatives.
• Provide hands-on technical leadership for the design, development, deployment, and operation of AI/ML solutions in a regulated enterprise environment.
• Own technical architecture, solution design, and implementation decisions while ensuring scalability, reliability, and compliance with governance and risk standards.
• Collaborate with architects, data engineers, platform engineers, DevOps, product teams, and business stakeholders to deliver enterprise AI solutions.

 
Key Responsibilities:

• Lead a team of Data Scientists delivering AI and Machine Learning solutions for marketing and business engagement use cases.
• Own technical decisions, project delivery, implementation timelines, and production stability within the assigned domain.
• Lead planning and execution of data science initiatives aligned with business goals and objectives.
• Design, develop, train, optimize, and deploy Machine Learning and Deep Learning models.
• Analyze complex datasets to identify trends, patterns, and actionable business insights.
• Collaborate with cross-functional teams to develop and implement data-driven solutions.
• Integrate AI capabilities into business applications through APIs, SDKs, and microservices.
• Present insights, reports, and recommendations to senior leadership and business stakeholders.
• Develop statistical models, predictive analytics, and Machine Learning algorithms using Python and Azure cloud technologies.
• Research and implement emerging AI, Machine Learning, and Data Science technologies.
• Apply ML-Ops best practices to optimize platform efficiency, scalability, reliability, and cloud-native architectures.

 
Required Skills & Experience:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
• 8+ years of experience in AI/ML Engineering and/or Data Science.
• 5+ years of experience in the insurance and/or financial services industry supporting sales, marketing, or customer engagement analytics.
• Proven experience designing, deploying, and managing production ML and/or Generative AI solutions.
• Experience building Machine Learning models using Python, preferably in cloud environments.
• Experience developing APIs, batch processing, and real-time inference solutions.
• Strong understanding of Responsible AI, including data privacy, bias mitigation, and model monitoring.
• Strong SQL skills with expertise in Exploratory Data Analysis (EDA) and data anomaly detection.
• Experience with Dominos, Power BI, and/or Azure Machine Learning.
• Strong knowledge of statistics, mathematics, and predictive modeling.
• Experience developing AI solutions to improve customer engagement, communications, revenue generation, ad targeting, and business outcomes.
• Excellent presentation, storytelling, visualization, written, and verbal communication skills.
• Strong analytical thinking and problem-solving abilities.

 
Preferred Skills:

• Experience with employee benefits plans.
• Hands-on experience with Azure and Databricks.
• Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures.
• Experience integrating external data sources and vector databases with Large Language Models (LLMs).
• Strong knowledge of prompt engineering, model fine-tuning, and GenAI evaluation techniques.
• Experience building and optimizing GenAI solutions for document Q&A, summarization, chatbots, and knowledge retrieval.
• Experience developing scalable, production-ready Generative AI pipelines.
  
  Company Benefits & Culture
  • Opportunity to work with a dynamic team in a fast-paced environment
  • Exposure to cutting-edge technologies and methodologies
  • Supportive and collaborative work culture
  
  Appreciate your quick response and please feel free to reach me out for any query you may have.
  
  Thanks