Responsibilities:

Under the leadership of the Data Science Manager, develops analyses and models based on complex operational, economic and statistical data to solve new and complex problems, develop innovative strategies, quantify the competitive performance of the organization’s operations and/or markets, and evaluate the potential impact of changes. Defines problems, collects data, applies advanced economic and mathematical concepts, establishes facts and draws valid conclusions. Applies an in-depth understanding of advanced behavioral statistics to solve new and complex problems and develop innovative strategies and meaningful insights. Develops reports for management on the overall performance of business segments and develops metrics to measure various characteristics of the business. Analyzes historical operations and market information using business software packages and statistical software tools, and develops models to predict future outcomes.

• Define and implement data acquisition and integration logic, selecting appropriate combination of methods and tools within defined technology stack to ensure optimal scalability and performance of the solution.
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy.
• Implement analytical models into production by collaborating with software developers.
• Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems.
• Analyze data for trends and patterns, and interpret data with a clear objective in mind.
• Collaborate across multiple corporate areas to understand workflows, document processes and ensure highest quality product delivery.
• Work on a fast paced team, with minimal direction focusing on understanding the application/product/area in detail, while delivering high-quality outputs and actionable solutions.
• Serve as thought leader for technical business processes, developing forward-thinking prototypes that promote increased efficiency and productivity on multiple levels.
• Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity.
• Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources
• Identify trends, opportunities and anomalies through analysis of complex data sets.
• Perform other duties as assigned by Management.

Education/Experience:

• Bachelor’s Degree statistics, applied mathematics, or related discipline.
• Master’s Degree preferred in statistics, applied mathematics, or related discipline.
• 3-5 years experience data science experience using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions.
• Advanced proficiency with data mining, mathematics, and statistical analysis.
• Advanced proficiency with pattern recognition and predictive modeling experience.
• Superior organizational, technical, analytical, and written/oral communication skills.
• Superior technical writing skills in business requirements, queries, reports, and presentations
• Superior technical skills in Excel, PowerPoint, Tableau and programming languages (SAS/SQL) with the ability to learn other analytic tools.
• Superior analytical and quantitative skills with experience collecting, organizing, mining, analyzing, visualizing and disseminating abundant information with the utmost accuracy and presentation.
• Efficiently manages time-based on the continual evaluation of priorities, meets deadlines with high-quality deliverable reflecting complete understanding of expectations, able to multi-task.

No Sponsorship offered