Senior Data Scientist
Role details
Job location
Tech stack
Job description
The Capabilities, Analysis and Development (CAD) division of Applied Research Associates, Inc. (ARA) has an outstanding opportunity for a Senior Data Scientist to support a multi-disciplinary team providing data analysis and visualization support across the Department of Homeland Security (DHS) mission space. You will support data-driven decision making by analyzing data, developing basic models, creating visualizations, and generating actionable insights as part of a multi-disciplinary team delivering analytical and software solutions for national security missions. This role is ideal for early-career data scientists passionate about solving real operational problems and building prototypes in an agile environment., * Coordinate teams as they process, clean, and transform structured and unstructured data.
- Support development of analytics, machine learning and statistical models, and exploratory data analysis.
- Create visualizations to identify patterns, trends, and performance indicators.
- Work with customers to translate user needs into analytic tasks.
- Lead the design, testing, and deployment of data and analytic workflows.
- Build and deploy scripts and tools to automate routine data tasks.
- Help prepare documentation, user guides, and training materials.
- Stay current on emerging technologies, analytic methods, and industry best practices.
- Collaborate with and potentially lead an agile team, and contribute to sprint activities.
Requirements
- Bachelor's degree in data science, statistics, computer science, mathematics, or a related field with 8+ years' experience, or a Master's degree with 6+ years' experience.
- Experience in Agile development practices and collaborative tools such as Jira and Gitlab.
- Experience in project management, coordinating with customers, and establishing scope, budget, and timelines for milestones and product releases.
- Experience performing analysis on large datasets and knowledge of machine learning tools and statistical techniques to produce solutions.
- Proficiency with common data science scripting tools and software (Python, R, SQL, SAS) and data visualization (Tableau, Qlik, Power BI) tools.
- Experience with common data packages such as pandas, NumPy, scikit-learn, pytorch, and data visualization frameworks such as matplotlib, seaborn, and Plotly.
- Experience with APIs, CSV/JSON datasets, relational databases.
- Ability to write clearly and produce documentation, user guides, and training materials., * Experience conducting data analyses in cloud environments such as AWS, Azure, Data Bricks, Google Cloud.
- Strong experience with geospatial analyses, as well as ESRI products such as ArcGIS
- Experience in project management, coordinating with customers, and establishing scope, budget, and timelines for milestones and product releases.
- DHS Suitability, * Thought Provoking: Capable of making others think deeply on a subject
- Team Player: Works well as a member of a group
- Functional Expert: Considered a thought leader on a subject
- Innovative: Consistently introduces new ideas and demonstrates original thinking
- Enthusiastic: Shows intense and eager enjoyment and interest
- Detail Oriented: Capable of carrying out a given task with all details necessary to get the task done well
- Dedicated: Devoted to a task or purpose with loyalty or integrity, * Self-Starter: Inspired to perform without outside help
- Growth Opportunities: Inspired to perform well by the chance to take on more responsibility
- Goal Completion: Inspired to perform well by the completion of tasks
- Entrepreneurial Spirit: Inspired to perform well by an ability to drive new ventures within the business
Education
Required
- Bachelors or better in Data Science
Preferred
- Masters or better in Data Science
Experience
Required
- 8-10 years: Data Science Experience