Data Scientist ( R-00057919 )
Leidos is looking for a Data Scientist to support enabling and growth for the existing automation efforts and drive forward their natural language processing efforts. This position is located in Mclean and requires an active TS/SCI with Polygraph in order to be considered.
The Data Scientist shall focus on business analytics, metrics collection, and analysis efforts to assist management team in addressing questions on work force characteristics, workforce productivity and output, and the value of reporting to the workforce.
Responsibilities include, but not limited to: • Work directly with stakeholders to establish working data sets, configurations, and profiles to support metrics analysis. • Design and implement advanced design configurations for complex data sets. • Compile data analysis and reporting needs using deployed tools. • Collaborate closely with stakeholders to stay current and abreast of changes with current enterprise metadata collection tools. • Produce ad hoc reports/metrics as deemed necessary to answer immediate needs. • Implement coordination process
Requires BS degree and 8 – 12 years of prior relevant experience or Masters with 6 – 10 years of prior relevant experience. May possess a Doctorate in technical domain.
Demonstrated experience with analytic methods and methodological tools in one or more of the following areas: applied mathematics, probability and statistics, data modeling.
Demonstrated experience using Microsoft Excel for data manipulation; using formulas, look ups, pivot tables, etc.
Demonstrated experience with relational databases, ideally Oracle using SQL.
Demonstrated experience translating complex, technical findings into a narrative (i.e., tell a story with the data) in graphical, verbal, or written form.
Demonstrated experience using the scripting language Python.
Demonstrated experience working with diverse data types.
Demonstrated experience with version control systems, such as Github.
Demonstrated knowledge or experience with data science techniques or formal data science training.
Demonstrated experience with analytical and critical thinking skills.
Demonstrated experience with developing data visualizations.
Demonstrated experience with creative problem solving skills to address procedural and administrative issues within the assigned problem set.
Demonstrated experience with web analytics processing and procedures.
Demonstrated familiarity with Amazon Web Servicers infrastructure and its native data science capabilities.