Summary
Georgia IT, Inc. is seeking a Data Scientist to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. The role involves applying statistical knowledge and machine learning to recognize patterns and develop predictive models, as well as collaborating with product engineers for prototype development and providing data visualization support.
Responsibilities
- Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement
- Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data
- Generate and test hypotheses and analyze and interpret the results of product experiments
- Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation
- Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support
Skills
- 3 years minimum in data science
- Master of Science degree in computer science or in a relevant field
- Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau
- The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics
- Experience working with large datasets
Qualifications
Must Haves
- 3 years minimum in data science
- Master of Science degree in computer science or in a relevant field
- Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau
- The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics
- Experience working with large datasets