Digital Mid Level Data Scientist
Mid Level Data ScientistLocation: Vienna, VAHybrid: Onsite 2 days a week or 8 days a monthHours: Monday – Friday, 8:00 AM – 4:30PM ESTPay Rate: Open to Both C2C and W2 optionsPosition Type: Multiyear Contract Job DescriptionProvide analytical insights by extracting data through machine learning, programming, data modeling, and advanced mathematics to recognize complex patterns and identify opportunities to drive impact across the organization. Developing an understanding of business needs and objectives through the use of basic descriptive, predictive, and prescriptive models. Perform routine assignments with increasing scope and complexity. Work under close supervision with some latitude for problem solving within existing data platforms and tools. Developing professional with basic skill set and proficiency.Responsibilities Design, develop, and evaluate basic/routine predictive models and algorithms with some complexity Analyze and interpret results with some complexity Limited judgment and discretion within defined procedures and practices Develop and code basic software programs, algorithms, and automated processes Use modeling and trend analysis to analyze data Collaborate with team members and participate in team projects and initiatives Utilize effective written and verbal communication to document and present findingsQualifications 2-3 years of experience in exploratory data analysis Statistics Programming, data modeling, simulation, and mathematics SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS Model lifecycle execution Technical writing Data storytelling and technical presentation skills Research Skills Interpersonal Skills Model Development Communication Critical Thinking Collaborate and Build Relationships Initiative with sound judgement Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.) Problem Solving (Responds as problems and issues are identified) Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields Desired : Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or EngineeringTop 3 Required Skills Python SQL Data warehouse usageTop 3 Desired Skills Machine Learning Data Science Statistics