Data Scientist (Big Data) III – Contractor

• Lead complex, cross-functional data science initiatives delivering solutions across multiple technologies and platforms
• Design, develop, and deploy data mining, statistical, machine learning, and graph-based algorithms for large-scale data sets
• Partner with data engineering teams to ensure proper implementation, performance, and operational use of analytical solutions
• Review and assess data science programs and models at an enterprise level to evaluate suitability, performance, and scalability
• Build and maintain scalable big-data analytics solutions supporting accurate targeting, forecasting, and advanced insights
• Develop and support end-to-end machine learning pipelines, including data preparation, training, testing, validation, and deployment
• Establish performance metrics, monitoring, and evaluation procedures for models in production
• Translate complex analytical findings into clear, actionable insights for technical and non-technical stakeholders
• Provide mentorship and technical guidance to junior team members
• Contribute to data strategy, methodology selection, and continuous improvement of analytics capabilities
• Support testing, validation, and user acceptance activities to ensure alignment with business requirements
• Perform additional related duties as needed to support analytics and data initiatives

• Strong hands-on experience with PySpark, Python, and R for data analysis and machine learning
• Experience working in AWS cloud environments
• Proficiency with Databricks for large-scale data processing and analytics
• Experience building and supporting large-scale data pipelines and ETL workflows
• Demonstrated experience applying statistical and modeling techniques, including: Hypothesis testing, Supervised and unsupervised learning, Forecasting and regression, Dimensionality reduction and clustering
• Experience working with relational databases, SQL, and large datasets
• Ability to gather, interpret, and translate business requirements into technical solutions
• Strong communication skills with the ability to present complex concepts to diverse audiences
• Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field, or equivalent practical experience
• Typically 5+ years of relevant professional experience in data science, analytics, or related roles

Advanced degree preferred but not required

• medical
• vision
• dental
• life and disability insurance
• 401(k) plan