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SB
Stewart Builders Group
AI Specialist
Career Insights for Data Scientist
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Scorecard
Based on Maryland data
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$105,701 / year median in Maryland
+24% projected growth
Job Description
We are seeking a dynamic and innovative AI Specialist to drive the development and deployment of cutting-edge artificial intelligence solutions. In this role, you will harness your expertise to solve complex business challenges. Your passion for AI technology and data-driven insights will empower our organization to stay ahead in a rapidly evolving digital landscape. This is an exciting opportunity to create cloud platforms, and data systems to create impactful solutions that transform our business. Design, develop, and optimize machine learning models Implement scalable data pipelines Collaborate with cross-functional teams to integrate AI models into production environments through model deployment strategies Design and manage database architectures ensuring efficient storage and retrieval of big data while maintaining data integrity through database design best practices. Explore linked data concepts and semantic web technologies to enhance data interoperability across systems. Apply natural language processing techniques for text analysis, chatbots, or voice recognition projects to improve user engagement. Stay abreast of emerging AI research including quantum engineering applications that could influence future projects. Document processes thoroughly, including model training procedures, system architecture, and performance metrics for ongoing improvement. Proven experience with machine learning frameworks Strong programming skills in with a focus on AI application development. Knowledge of database design principles along with hands-on experience working with databases and linked data concepts. Proficiency in natural language processing (NLP) techniques for text analysis and conversational AI solutions. Familiarity with cloud services for model training, deployment, and management of AI solutions. Experience with analytics platforms Ability to apply unsupervised learning methods for clustering or anomaly detection tasks. Knowledge of statistical analysis and advanced modeling tasks.