Data Science Analytics Developer

Stabilis Professional Services is looking for a Data Science / Analytics Developer for our client in GA. This is an Onsite position. Job Summary: Under general supervision designs codes tests modifies and debugs computer software. Researches and analyzes program or systems problems and develops program documentation. Translates business requirements into development activities in secure and maintainable code. The ideal candidate is an enthusiastic creative highly motivated and goaloriented team player with at least three years of data visualization (SAS strongly preferred) experience with strong knowledge of SQL and python for ETL and database programming. Essential Duties and Responsibilities: Develop / maintain current and future SAS data reports and analyses. Develop / maintain current and future ETL scripts and code. Ad hoc reporting and analysis using data stored in Oracle and Microsoft SQL Server databases Accurately and effectively communicate with the Project Manager and/or Team Lead the level of effort to implement proposed solutions the status of ongoing work and any potential issues. Work well in both a team environment as well as a sole contributor with little or no supervision. Possess excellent time management skills in handling multiple priorities with individual deadlines. Adapt to a rapidly changing environment and work creatively with minimal supervision. Ability to work from written specifications and preestablished guidelines. Possess excellent written and oral communication skills. Education Qualifications: Bachelors degree in computer science Data Science or a related scientific or technical degree; or equivalent experience. Technical Skills/Experience: Minimum three years experience in data science applications. Very strong preference for SAS programming experience. Minimum three years experience in python coding. Minimum three years experience in database coding. Minimum three years experience in data cleansing/ preparation for reporting and visualization. Strong knowledge of and experience with Oracle and Microsoft SQL Server databases. Strong understanding of objectoriented programming principles. Strong knowledge of and experience with python. Strong knowledge of and experience with SAS SAS Enterprise Guide SAS Visual Analytics and SAS Viya strongly preferred. Understanding of the Unix shell for tasks in Linux environment.