Data Scientist - Active SECURITY CLEARANCE NEEDED

Job Description

Job Description

Are you a transitioning military looking for an entry level opportunity in Data Science?

Do you have an active security clearance and looking to grow your data skills?

Our customer is looking for an entry level data science candidate to join a dynamic, military supporting team. This role does require an ACTIVE security clearance upon hire.

• Minimum of 1-year experience is required
• Bachelor’s degree in a STEM field is required. Master’s degree is preferred in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
• Proficient with one or more programming languages (Java, C++, Python, R, etc.).
• Bachelor’s degree is acceptable in the above fields if the incumbent has training and verifiable work experience in a related field.
• Proficient in Agile Development and Git Operations.
• Demonstrated experience applying data science methods to real-world data problems.
• At least Interim Secret w / in 30 days of hire is required, while Top Secret clearance eligible for SCI is preferred.

Description and Duties :

• Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
• Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data
• Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
• Coordinate with Data Engineers to build Data environments providing data identified by other data professionals
• Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities.
• Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
• Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets.

Analyze large-scale structured and unstructured data.

• Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny.
• Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages.
• Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
• Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling.

Company Description

We launched Top Stack to solve a problem in the human capital industry : Technology has replaced humanity. The business has become cold and impersonal.

That’s why we’ve made it our top priority to be people-focused, with consistent, transparent, timely communication. It sounds simple because it is.

We think it’s the only way to work.

Company Description

We launched Top Stack to solve a problem in the human capital industry : Technology has replaced humanity. The business has become cold and impersonal.

That’s why we’ve made it our top priority to be people-focused, with consistent, transparent, timely communication. It sounds simple because it is.

We think it’s the only way to work.