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Salem Five is looking for a Data Scientist to lead the development of new solutions to meet evolving business needs by leveraging advanced machine learning techniques and providing data-driven insights to inform strategic decisions.

Requirements

• Experience in techniques like clustering, classification, and forecasting to extract insights from data
• Expertise in Database Platfoms (e.g. Snowflake (required), SQL Server, Cosmos DB, etc.)
• Experience in data loading across cloud platforms (e.g. Azure, GCP, AWS)
• Expertise in ETL/ELT and Data Quality tools and processes (e.g. SSIS, Informatica, Kingswaysoft, etc.)
• Strong knowledge of AI/ML concepts and algorithms to design intelligent systems and applications
• Experience in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Experience in machine learning algorithms (supervised, unsupervised, deep learning)

Responsibilities

• Lead the development of new solutions to meet evolving business needs
• Use advanced machine learning techniques to create innovative solutions
• Manage multiple data science projects, ensuring alignment with business goals
• Develop and optimize predictive models, integrating them with business intelligence tools
• Build and maintain efficient data pipelines and collaborate with engineering teams to support cloud-to-cloud environments
• Mentor DBA in model development and data handling best practices
• Collaborate with leadership to provide data-driven insights that inform strategic decisions

Other

• This position requires the ability to work in the Salem, MA offices.
• Bachelor's degree in Information Technology, related field, or equivalent experience required; Master's in Computer Science, Statistics, Mathematics, or a related field preferred
• Knowledge of ethical considerations in data usage and mitigating bias in models and decisions
• Understanding of business processes and market trends to deliver actionable insights
• Excellent communication skills for engaging with stakeholders and cross-functional teams