Data Science Associate (Open to hiring Data Science Consultant)
Description:
• Responsible for extracting, integrating analyzing, and interpreting data from internal and external data sources, to develop intelligence packaging that draws conclusions and supports recommendations that will help to achieve business goals.
• Collaborate with team and key business stakeholders to ensure critical business objectives are met by following the analytics lifecycle within assigned domains.
• Work cross-functionally with business stakeholders to identify risk and provide solutions that drive data-enabled decisions.
Requirements:
• Bachelor’s degree in quantitative discipline such as statistics, mathematics, finance, accounting, computer science, engineering, or economics.
• Less than 1-year hands-on experience with specific experience in data or statistical analysis, including data collection, joins, analysis, statistics and/or data presentation.
• Specific exposure with hands-on data analysis of databases and files using SQL dialects and statistical programming languages.
• Strong formulas and data visualizations knowledge.
• Exposure to business intelligence or analysis platforms.
• Naturally curious and ability to drive business decisions and solutions.
• Effective communication skills, both verbal and written, with the ability to present complex information.
• Proactive, self-starter and can manage priorities through effective time management skills.
• Preferred: Master’s degree.
• Experience working with unstructured data sets.
• Experience developing project roadmaps and timelines.
Benefits:
Apply Now
Apply Now
• Responsible for extracting, integrating analyzing, and interpreting data from internal and external data sources, to develop intelligence packaging that draws conclusions and supports recommendations that will help to achieve business goals.
• Collaborate with team and key business stakeholders to ensure critical business objectives are met by following the analytics lifecycle within assigned domains.
• Work cross-functionally with business stakeholders to identify risk and provide solutions that drive data-enabled decisions.
Requirements:
• Bachelor’s degree in quantitative discipline such as statistics, mathematics, finance, accounting, computer science, engineering, or economics.
• Less than 1-year hands-on experience with specific experience in data or statistical analysis, including data collection, joins, analysis, statistics and/or data presentation.
• Specific exposure with hands-on data analysis of databases and files using SQL dialects and statistical programming languages.
• Strong formulas and data visualizations knowledge.
• Exposure to business intelligence or analysis platforms.
• Naturally curious and ability to drive business decisions and solutions.
• Effective communication skills, both verbal and written, with the ability to present complex information.
• Proactive, self-starter and can manage priorities through effective time management skills.
• Preferred: Master’s degree.
• Experience working with unstructured data sets.
• Experience developing project roadmaps and timelines.
Benefits:
Apply Now
Apply Now