Data Scientist

Good day,

• Role: Data Scientis
• t Location: Cary, NC (Onsite
• ) Start date: 2026-08-2
• 2 Background check MANDATOR

• Y
• JOB DESCRIPTIO
• N:The Data Scientist will be creating Machine Learning and AI solutions to support marketing campaigns and business engagemen
• t.Essential Business Experience and Technical Skill
• s:Require
• d:Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related fiel
• d.8+ years of overall experience in AI/ML engineering and/or data scienc
• e.5+ years of insurance business and/or financial industry experience with sales, marketing, and/or customer engagement analytic
• s.Proven experience designing, deploying, and operating production ML and/ or GenAI solutions, including APIs, batch, and real-time inferenc
• e.Experience in developing Machine Learning models using Python (preferably in the clou
• d)Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and/or model monitorin
• g.Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data Analysi
• s.Experience with Dominos, Power BI, and/or Azure
• MLStatistical Knowledge: A strong understanding of statistics and mathematics is essential for data analysis and predictio
• n.Use predictive modeling or AI solutions to increase and optimize customer experience/communication, revenue generation, ad targeting, and other business outcom
• esVery good presentation skills to present results clearly and effectively by creating presentations with storytelling, visualizations & resul
• tsVery good problem solver and excellent communication skills - both written and verb

• al
• Key Responsibiliti
• es:Ownership: Accountability for technical decisions, project outcomes, timelines, and production stability within a defined doma
• in.Model Development: Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use ca
• sesData Analysis: Analyze complex data sets to identify trends, patterns, and actionable insights that can inform business strategi
• es.Collaboration: Collaborate with stakeholders and cross-functional teams to develop and implement data-driven solutio
• ns.Platform Integration: Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservic
• es.Stakeholder Communication: Visualize data, create reports, and present findings to senior management and cross-functional tea
• ms.Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud tools (Azur
• e).Research and Innovation: Stay up to date with the latest advances in AI, Data Science, and Machine Learni
• ng.ML-Ops Best Practices: Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectur

• es.
• Thanks & Rega
• rds,Gane
• sh BSr. US IT Recrui
• ter Phone: +1 470532
• 1168ganesh@datumtg
• .com12000 Findley Road, Suite 350, Johns Creek, GA 3

0097