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Lorven technologies
Data ScientistLorven technologies • Cary, NC, United States
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Data Scientist

Data Scientist

Lorven technologies • Cary, NC, United States
30+ days ago
Job type
  • Full-time
  • Quick Apply
Job description

Hi ,

Our client is looking for an Data Scientist for a project and below is the detailed requirement.

Job Title: Data Scientist

Location: Cary, NC - Hybrid

Required Skills:

  • 8+ years of hands-on experience in Data Science, Artificial Intelligence, and Machine Learning engineering.
  • Strong experience designing, developing, deploying, and supporting production-grade Machine Learning and GenAI solutions.
  • 5+ years of experience in insurance, financial services, or related industries with exposure to sales, marketing, customer engagement, and business analytics.
  • Strong proficiency in Python for Machine Learning, predictive modeling, statistical analysis, and AI solution development.
  • Experience building and deploying ML models using cloud platforms, preferably Microsoft Azure and Azure Machine Learning.
  • Strong knowledge of SQL, data analysis, Exploratory Data Analysis (EDA), data validation, anomaly detection, and large-scale data processing.
  • Experience with ML deployment practices including APIs, batch processing, real-time inference, model monitoring, and MLOps best practices.
  • Hands-on experience with tools such as Domino Data Lab (Domino), Power BI, Azure ML, and other data science platforms.
  • Strong understanding of responsible AI practices including data privacy, bias mitigation, model governance, and monitoring.
  • Excellent communication and presentation skills with the ability to translate complex data insights into business recommendations.

Key Responsibilities:

  • Design, develop, train, optimize, and deploy Machine Learning and AI models for marketing, customer engagement, and business intelligence use cases.
  • Analyze complex datasets to identify trends, patterns, and actionable insights that drive business strategies and revenue growth.
  • Develop predictive models and AI solutions to improve customer experience, campaign effectiveness, communication strategies, and business outcomes.
  • Build and integrate AI capabilities into business applications through APIs, SDKs, microservices, and cloud-based solutions.
  • Perform statistical analysis, data exploration, feature engineering, and model evaluation to improve prediction accuracy and performance.
  • Collaborate with business stakeholders, data engineers, analysts, and cross-functional teams to deliver scalable AI-driven solutions.
  • Create dashboards, visualizations, reports, and presentations to communicate insights and recommendations to leadership teams.
  • Support ML platform optimization, scalability, reliability, and production stability through MLOps best practices.
  • Stay current with emerging AI, Machine Learning, Generative AI, and cloud technologies to drive innovation.
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Data Scientist • Cary, NC, United States

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