Data Scientist

• Support development of proof-of-concept applications
• Build and deploy machine learning and generative AI solutions
• Partner with enterprise stakeholders to turn complex business problems into actionable insights
• Design, develop, and execute analytical solutions using optimization, simulation, machine learning, generative AI, and statistical modeling
• Construct predictive models for explanation, forecasting, risk identification, segmentation, and clustering
• Evaluate alternative approaches and select appropriate modeling techniques
• Integrate and transform large volumes of data from DB2, SQL Server, Teradata, APIs, and other sources
• Build modeling-ready datasets using validation, reconciliation, feature engineering, and aggregation
• Write complex SQL queries involving multi-table joins, data exploration, and troubleshooting
• Develop logical data models and lead conversations with external data providers
• Build automated analytics pipelines using scripting, APIs, DevOps practices, and cloud platforms
• Partner with engineering and IT teams to scale solutions, automate workflows, and integrate models into business processes
• Operationalize AI/ML solutions in production environments
• Develop and deliver visualizations tailored to various audiences
• Interpret results and communicate actionable insights to senior leaders and business partners
• Translate technical work into business-friendly recommendations
• Coach, mentor, and develop associate or junior data scientists
• Collaborate with product owners, engineers, data architects, and business partners
• Manage multiple projects and guide less experienced team members
• Conduct independent R&D and prototype innovative approaches for high-visibility business problems
• Stay current on statistical methods, machine learning advancements, and generative AI tools

Data Scientist jobs in Maine

Data Scientist II – Gen AI, Python, AWS, SQL