The work done in this role has a direct impact on mission readiness as the team's efforts go toward ... R Shiny. Research, design, and implement algorithms to solve complex problems. Program using R ...
The work done in this role has a direct impact on mission readiness as the team's efforts go toward ... R Shiny. Research, design, and implement algorithms to solve complex problems. Program using R ...
Senior Data Scientist
Hurlburt Field, FL · On-site
The work done in this role has a direct impact on mission readiness as the team's efforts go toward ... and R Shiny. • Research, design, and implement algorithms to solve complex problems. Program ...
Senior Data Scientist
Hurlburt Field, FL · On-site
The work done in this role has a direct impact on mission readiness as the team's efforts go toward ... and R Shiny. • Research, design, and implement algorithms to solve complex problems. Program ...
Director R Shiny information
What are some common challenges faced by a Director R Shiny when leading data science teams in developing interactive applications?
A Director R Shiny often navigates challenges such as balancing complex technical requirements with user-friendly design, ensuring code scalability and maintainability, and aligning project goals across cross-functional teams. Additionally, they must stay updated with evolving R Shiny best practices and mentor team members with varying levels of expertise. Frequent collaboration with stakeholders to translate business needs into effective data visualizations and interactive tools is also a key responsibility, requiring strong communication and project management skills.
What is a Director R Shiny?
A Director R Shiny is a senior leadership role responsible for overseeing the development and deployment of data visualization and analytics applications using the R Shiny framework. This position typically involves managing teams of data scientists and developers, guiding the technical direction of Shiny projects, and ensuring solutions align with business goals. Directors in this role also collaborate with stakeholders to define project requirements, set best practices, and ensure the scalability and security of Shiny applications. They play a crucial part in driving data-driven decision-making within an organization.
What are the key skills and qualifications needed to thrive as a Director R Shiny, and why are they important?
To thrive as a Director R Shiny, you need deep expertise in R programming, Shiny app development, data science, and team leadership, often backed by an advanced degree in a quantitative field. Experience with cloud deployment platforms, version control systems (like Git), and familiarity with DevOps practices or relevant certifications are important. Outstanding project management, communication, and stakeholder engagement skills set leaders apart in this role. These capabilities are essential for delivering scalable analytics solutions, managing cross-functional teams, and driving innovation in data-driven organizations.
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Job description
Role
This role is for a Senior Data Scientist on a close-knit team supporting Air Force Special Operations Command (AFSOC) at Hurlburt Field, FL. 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 Senior 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 Senior Data Scientist will have skills sets of both data analysts and data engineers. Senior 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.
Senior 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 Senior 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
- Secret Clearance
Preferred Qualifications
- Familiarity with DoD
- Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
- Familiarity with Envision