Data Scientist

Planet Works, Inc; Fort Meade (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

Planet Works, Inc is seeking a Data Scientist for mission-critical analysis requiring an active TS clearance with polygraph. You will design and implement machine learning solutions using Python, manage big datasets, and collaborate with analysts across teams.

Candidates should have a degree in Math/Stats/ML/DS/CS and at least three years of relevant experience; JCAC may offset degree gaps. Strong communication with non-technical audiences is essential.

Qualifications

• Active TS clearance with polygraph.
• Bachelor's degree + 3 years of relevant experience.
• Degree in Mathematics, Statistics, Machine Learning, Data Science, or Computer Science preferred.

Skills

Machine learning

Data science

Python programming

Data visualization

Statistical analysis

Data manipulation

Communication skills

Workflow automation

Education

Bachelor's degree

JCAC certification

Tools

Python

Jupiter Notebooks

Job description

Data Scientist

The ideal candidate for this position must possess the following:

• Active TS clearance with polygraph.
• AMOD tools experience.
• A bachelor’s degree plus three (3) years of relevant experience.
• A degree in Mathematics, Statistics, Machine Learning, Data Science, Computer Science is preferred.
• Additional work experience or completion of JCAC (Joint Cyber Analysis Course) may be utilized to offset a lack of a degree.

The ideal candidate for this position should possess the following skills:

• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (at least one high level language, e.g. Python), statistical analysis (e. variability, sampling error, interference)
• Proficient in Python and experienced in automating workflows, data manipulation, and visualization using Jupiter Notebooks.
• Use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method to assess large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in National Agency data holding.
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and assist/collaborate with others to draw appropriate conclusions from the analysis of such data.
• Be able to communicate with people of various backgrounds, including individuals with non-technical audiences.

Must be proficient in two or more of the following skill areas:

1. Foundations: Mathematical, Computational, Statistical
2. Data Processing: Data management and curation, data description and visualization, workflow and reproducibility
3. Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific consideration.