Mid Level Data Scientist
Location: Vienna, VA
Hybrid: Onsite 2 days a week or 8 days a month
Open to Both C2C and W2 options

Top 3 Required Skills:
Python
SQL
Data warehouse usage
Top 3 Desired Skills:
Machine Learning
Data Science
Statistics

Job Description:
Provide 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 findings
Qualifications:
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 Engineering