Data Scientist

We are seeking a seasoned Data Scientist to join a high-impact team responsible for developing advanced analytics solutions and deploying machine learning models to optimize operations and inform strategic decision-making. This role combines hands-on data infrastructure work with AI/ML model development and cross-functional collaboration.

You will serve as a technical lead in shaping the organization’s data strategy, maintaining and improving data systems, and delivering innovative solutions that solve complex business problems.

Key Responsibilities

Analytics & Modeling

• Build, optimize, and deploy machine learning models and algorithms for predictive analytics and decision support
• Deliver actionable insights using statistical modeling, data mining, and AI
• Monitor model performance and continuously refine based on new data and feedback

Infrastructure & Systems

• Maintain, upgrade, and optimize data pipelines and storage systems to ensure data accuracy, security, and scalability
• Support networks and servers tied to data infrastructure across departments
• Implement best practices in data security, governance, and compliance

Collaboration & Strategy

• Partner with cross-functional teams (e.g., Operations, Finance, Marketing) to understand needs and deliver tailored solutions
• Research and apply new data science techniques to improve efficiency and innovation
• Mentor junior analysts and serve as a subject matter expert on data-related initiatives

Documentation & Support

• Maintain clear, comprehensive technical documentation of models, systems, and projects
• Provide advanced support for mission-critical business functions
• Develop contingency and recovery plans for data infrastructure

Minimum Qualifications

• Bachelor’s degree in Data Science, Computer Science, Mathematics, or related field
• 5+ years of experience in data science, data engineering, or analytics
• Proficient in Python, SQL, R, and machine learning libraries (e.g., Scikit-learn, TensorFlow)
• Strong understanding of data infrastructure, security, and cloud platforms

Preferred Qualifications

• Master’s or PhD in Data Science, Machine Learning, or related discipline
• Experience with Databricks, Azure Data Services, and AWS ML tools (e.g., SageMaker)
• Background in GIS or ESRI-based spatial analytics
• Certifications such as AWS Certified Data Analytics, Azure Data Scientist Associate, or Databricks ML Practitioner
• Prior experience leading projects or mentoring team members

Key Skills & Competencies

• Advanced statistical modeling and AI/ML development
• Big data tools (e.g., Hadoop, Spark) and cloud integration (Azure, AWS, GCP)
• Effective communicator across technical and non-technical audiences
• Self-motivated and adaptable to changing priorities
• Strong project and time management skills