Junior Data Scientist

Key Skills

Data Engineering, Data Mining, Data science techniques, Data Visualization, Machine learning techniques, Microsoft Office suites, PowerBI, Python Programming, R Programming, SQL, Tableau

Job Description

Responsibilities:

• Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
• Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds Al tools that automate certain processes.
• Duties typically include creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
• Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems.
• Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power Bl) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
• Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.

Qualifications:

• Current TS/SCI with ability to pass a polygraph.
• Minimum 3 years of experience conducting analysis relevant to the specific labor category, with at least a portion of the experience within the last 2 years.
• Bachelor's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education.

DISCLAIMER:

In compliance with the Americans with Disabilities Act Amendment Act (ADA), if you have a disability and would like to request an accommodation in order to apply for a position with ANSER, please call 703-416-2000 or e-mail Recruiting@anser.org. ANSER is proud to be an Equal Opportunity Employer. We seek individuals from a broad variety of backgrounds with varying levels of experience who have a desire to do meaningful work. We recruit, employ, train, compensate, and promote regardless of race, color, gender, religion, national origin, ancestry, disability, age, veteran status, sexual orientation, or any other characteristic protected by law.