Data Scientist

About the Role

Responsible for conducting basic analysis on various data types to uncover hidden patterns and unknown correlations to support business and management decisions. This includes data mining, data auditing, aggregation, validation, and reconciliation. Build basic reports for management as well as conducts basic hypothesis tests.

Key Responsibilities

• Assists with the development of basic analytical tools to solve high-value business problems.
• Utilize analytical tools and data management skills to provide actionable business intelligence.
• Build business knowledge across the organization and utilize knowledge to assist in the development of meaningful analyses.
• Help identify, acquire, and provide management of data needed for various analytic studies.
• Assist in the development of components of predictive and prescriptive systems.
• Apply data visualization tools to large data sets to enhance data understanding.
• Acquire knowledge of business processes and data acquisition practices from business units using disparate systems.
• Collaborate with technology partners to develop data acquisition and data management practices.
• Help develop concise meaningful written reports and provide oral presentation of information, reporting dashboards that meet business needs for status, trends, and variances.
• Collaborate with technology and business units to operationalize meaningful reports and dashboards.

Requirements & Tech Stack

• SQL
• R
• Python
• Excel
• Hadoop
• Tableau
• SAS
• SPSS
• analytics and statistical software

Qualifications

• Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.
• No additional experience is required. An equivalent combination of education and related experience may be considered.