Data Scientist

The Data Scientist will support the Analytics team by applying machine learning and advanced analytics to improve business performance, operational decision-making, and customer experience. This individual will translate complex business challenges into data-driven solutions while owning projects from end to end, including data exploration, preparation, modeling, validation, deployment, and ongoing optimization.

Design, build, validate, and enhance machine learning and statistical models that solve business challenges, including demand forecasting, customer behavior analysis, operational optimization, and business performance improvement.

Perform data profiling, exploration, cleansing, transformation, feature engineering, and quality validation to ensure accurate, reliable datasets for analysis and model development.

Partner with business leaders and cross-functional teams to understand objectives, define analytical approaches, establish success metrics, and deliver actionable insights.

Support the deployment of predictive models into production environments, monitor model performance, and continuously refine models to improve accuracy, scalability, and long-term reliability.

Design, execute, and evaluate experiments (including A/B testing) to measure the effectiveness of business initiatives, operational improvements, customer programs, and strategic decisions.

Develop forecasting models and scenario analyses that support resource planning, capacity management, demand prediction, and operational decision-making.

Present analytical findings and recommendations in a clear, concise manner to both technical and non-technical stakeholders, helping drive informed business decisions.

Identify opportunities to improve data quality, analytical methodologies, machine learning capabilities, and reporting processes while contributing to the growth of the organization's data science practice.