Hi, Hope you’re doing well. My name is Aabhash, and I am a Technical Recruiter from Empower Professionals Inc. We are sourcing for a “Data Scientist” role located at “Cary, NC (Hybrid Onsite)” and it’s a long-term contract with possible extensions. If you have any suitable profiles, please share their updated resumes with the candidate’s location, work authorization, and expected rate so that we can proceed. Role: Data Scientist Locations: Cary, NC (Hybrid Onsite) Duration: 12+ Months Contract F2F Interview MUST For Local Candidates Note: Candidate needs to be in the office 3-4 Days every week. Local or candidates from adjacent states only. Job Description: • The Data Scientist will be creating Machine Learning and AI solutions to support marketing campaigns and business engagement. Essential Business Experience and Technical Skills: • 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) • 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 Key Responsibilities: • Ownership: Accountability for technical decisions, project outcomes, timelines, and production stability within a defined domain. • 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. In compliance with the salary transparency law, the expected pay range for this role is $50 - 60/hr. Actual compensation depends on experience and interview evaluation. Aabhas Jain Technical Recruiter| Empower Professionals ...................................................................................................................................... aabhash@empowerprofessionals.com | LinkedIn: https://www.linkedin.com/in/aabhuu/ 100 Franklin Square Drive – 4th Floor | Somerset, NJ 08873 www.empowerprofessionals.com Certified NJ and NY Minority Business Enterprise (NMSDC) Empower Professionals firmly opposes e-mail "spamming". We apologize to those who do not wish to receive this e-mail and also to those who have accidentally received it again. Please reply with “REMOVE” in the subject listing, with all aliases email addresses that you would want removed and any inconvenience caused is highly regretted. We appreciate your patience and cooperation. 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