... complex data, assist the command with development initiatives, and facilitate digital ... R Shiny. Research, design, and implement algorithms to solve complex problems. Program using R ...
... complex data, assist the command with development initiatives, and facilitate digital ... R Shiny. Research, design, and implement algorithms to solve complex problems. Program using R ...
Data Scientist
Fort Liberty, NC · On-site
... complex data, assist the command with development initiatives, and facilitate digital ... R Shiny. Research, design, and implement algorithms to solve complex problems. Program using R ...
Data Scientist
Fort Liberty, NC · On-site
... complex data, assist the command with development initiatives, and facilitate digital ... R Shiny. Research, design, and implement algorithms to solve complex problems. Program using R ...
Data Scientist
Liberty, NC · On-site
... complex data, assist the command with development initiatives, and facilitate digital ... and R Shiny. • Research, design, and implement algorithms to solve complex problems. Program ...
Data Scientist
Liberty, NC · On-site
... complex data, assist the command with development initiatives, and facilitate digital ... and R Shiny. • Research, design, and implement algorithms to solve complex problems. Program ...
Assistant R Shiny information
What is the difference between Assistant R Shiny vs Data Analyst?
| Aspect | Assistant R Shiny | Data Analyst |
|---|---|---|
| Required skills | Proficiency in R, Shiny, basic data visualization | Data analysis, statistical skills, data visualization |
| Work environment | Developing interactive dashboards, supporting data projects | Interpreting data, generating reports, business insights |
| Common industry usage | Tech, research, healthcare, finance | Business, marketing, finance, healthcare |
Assistant R Shiny roles focus on developing interactive web applications using R and Shiny, often requiring programming skills. Data Analysts interpret data, create reports, and provide insights, with broader statistical expertise. While both roles work with data, Assistant R Shiny positions emphasize application development, whereas Data Analysts focus on data interpretation and reporting.
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Job description
Role
This role is for a Data Scientist on a close-knit team supporting United States Army Special Operations Command (USASOC) at Fort Bragg, NC. This team is at the center of helping the command empower and leverage its data for more effective analysis and decision making. As a subject matter expert, the Data Scientist will leverage their experience to gather and derive insights from complex data, assist the command with development initiatives, and facilitate digital transformation efforts. The work done in this role has a direct impact on mission readiness as the team's efforts go toward making a more resilient and data-driven organization.
Responsibilities
A Data Scientist will have skills sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline. In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning.
Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization. They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques.
The Data Scientist shall perform the following tasks:
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.
Requirements
- A minimum of 1 year of hands-on Data Science experience is required.
- Bachelor's Degree in a STEM field is required.
- Proficient with one or more programming languages (Java, C++, Python, R, etc.)
- Demonstrated ability to apply data science to solve real-world problems
- A Top Secret Clearance with SCI eligibility is required.
Preferred Qualifications
- Familiarity with DoD
- Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
- Familiarity with Palantir Foundry