Job Title: Data Scientist
Location: Dallas TX or Cary NC
12+ Months Contract
Onsite Opportunity
10+Years of Experience
Responsibilities:
Team Leadership: Lead the solution and a team of data scientists delivering AI and ML solution for marketing and business engagement use cases
Ownership: Accountability for technical decisions, project outcomes, timelines, and production stability within a defined domain. Planning and Business alignment: Lead the planning and execution of data science use cases, ensuring alignment with business goals and objectives. Model Development: Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use cases Data Analysis: Analyze complex data sets to identify trends, patterns, and actionable insights that can inform business strategies.
Collaboration: Collaborate with stakeholders and cross-functional teams to develop and implement data-driven solutions. Platform Integration: Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices. Stakeholder Communication: Visualize data, create reports, and present findings to senior management and cross-functional teams. Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud tools (Azure). Research and Innovation: Stay up to date with the latest advances in AI, Data Science, and Machine Learning. ML-Ops Best Practices: Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures. 
 
Required: 
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
5+ 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) Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and/or model monitoring. Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data Analysis. Experience with Dominos, Power BI, and/or Azure ML Statistical Knowledge: A strong understanding of statistics and mathematics is essential for data analysis and prediction. Use predictive modeling or AI solutions to increase and optimize customer experience/communication, revenue generation, ad targeting, and other business outcomes Very good presentation skills to present results clearly and effectively by creating presentations with storytelling, visualizations & results Very good problem solver and excellent communication skills – both written and verbal 
 
Preferred:  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. Strong understanding of prompt engineering, fine-tuning, and evaluation of generative models for real-world applications. Ability to build, optimize, and scale GenAI pipelines for tasks such as document Q&A, summarization, chatbots, and knowledge retrieval.
Education: At least a bachelor’s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or a closely related field is required for the project
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Manasa Salla
Sr Technical Recruiter
I Tech US Inc.
