Summary
As a Senior Data Scientist, you will lead advanced data analysis projects using your expertise in R, Python, SQL, and machine learning. Your role will involve model training, AI implementation, and natural language processing to drive innovative solutions. With premium skills in AWS, TensorFlow, and database design, you will excel in developing and deploying complex models. Your relevant skills in data mining, Big Data technologies, and analytics will further enhance your ability to extract valuable insights. Join our team to leverage your mastery in data science and contribute to cutting-edge projects in a dynamic and collaborative environment.
Responsibilities:
- Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
- Proactively retrieves information from various sources and analyzes this information for better understanding about the data set and builds Artificial Intelligence (AI) tools that automate certain processes.
- Duties typically include: creating various Machine Learning (ML)-based tools or processes, such as recommendation engines or automated lead scoring systems.
- Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems.
- Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau.
- Major data science languages, such as R and Python.
- Managing and merging of disparate data sources, preferably through R, Python, or SQL, statistical analysis, and data mining algorithms.
- Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.
- Provide senior level enterprise support through data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions for multiple cover databases and applications in support of the defense cover program.
Required Experience: Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years.
Education: Master’s Degree and twelve (12) years of experience or Bachelor’s Degree and an additional five (5) years of related experience for a total of seventeen (17) years in lieu of a Master’s Degree with at least a portion of the experience within the last 2 years.
Come onboard with a company that Values its Employees!
Celestar is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, protected veteran status, disability status, gender identity or national origin.
Job Type: Full-time
Pay: $173,000.00 - $180,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Health savings account
- Life insurance
- Paid time off
Experience level:
Schedule:
Application Question(s):
- Do you have an active TS/SCI with CI Poly clearance?
- Do you have at least 12 years of experience performing statistical analysis or applied data mining techniques?
- Do you have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics?
Education:
Experience:
- Python: 2 years (Required)
- SQL: 2 years (Required)
Security clearance:
Ability to Commute:
Ability to Relocate:
- Hanover, MD: Relocate before starting work (Required)
Work Location: In person