Data Scientist

The Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. This position will lead the statistical improvement and maintenance of demand forecasting across the DRiV business unit. It supports integrating new technologies and processes the elimination of non-value-added technologies. The Data Scientist develops, maintains, and collects structured and unstructured data sets for modeling, hypothesis-testing, analysis, and reporting. Creates reports, projections, models, and presentations to support strategy and tactics. Decisions are typically related to implementing new/updated programs or large-scale projects for the function, supporting technical/operational procedures and processes, implementing strategic plans, driving goals and objectives, and improving performance while providing input into functions strategy.

​​Key responsibilities:

• Analyze data for trends and patterns, and interpret data with clear objectives in mind
• Coordinate user testing for acceptance of BI solutions.
• Interface with various internal teams to evaluate BI support requests and to proactively propose solutions
• Work directly with internal & external stakeholders to enhance and expand upon existing analytics services delivered via Power BI
• Normalize, filter, and blend extracted datasets with internal datasets
• Lead the development, maintenance, and enhancement of DRiV’s different types of forecasts.
• Deliver high-quality data science outputs, ranging from foundational research and analytics products to ROI analyses and internal business tools.

What will make you successful:

• Bachelor’s Degree in a quantitative discipline, such as Computer Science, Analytics, Mathematics or Statistics and/or a related field, and 4 or more years of experience.
• Experience leveraging large sets of structured and unstructured data to develop tactical and strategic insights.
• Experience developing and validating statistical forecasting models and tools.
• Experience interpreting and communicating analytic results to analytical and non-analytical business partners and  executive decision-makers.
• Clear oral and written communication skills.
• Experience working with data cloud infrastructure like AWS, Azure, GCP, Databricks, etc.
• Experience performing data management, mining, and manipulation along with analytics.
• Strong project management skills—scope, requirement gathering, prioritization, organization
• Desire to learn and solve problems

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