Quick overview
Job description
Job Type Full-time Description Senior Data Scientist At Celestar, a B&A Company, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust, and recognition. We have incorporated these values into successful customer deliveries since 1988. B&A believes in ensuring its employees feel deeply connected to B&A, recognizing successes and hard work, and providing continuous opportunities to learn and grow.
Our people are entrepreneurial thinkers who combine mindset, vision, and experience to drive value - not only for us as an organization, but also for the clients we support. We promote a collaborative culture with our clients and with each other as one team working towards a common vision. We'd love for you to join our team! Job Summary Celestar, a B&A Company, is seeking a Senior Data Scientist seated in the National Capital Region. If interested and qualified, we welcome you to apply for this challenging opportunity. 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, analyzes it to better understand the dataset, 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 use 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.
- Master's Degree with 12 years of experience, or a bachelor's degree with an additional 5 years of related experience (total of 17 years) instead of a master's degree.
- 12 years of experience related to the specific labor category, with at least a portion of the experience within the last 2 years.
Required Skills
- Experience working with R, Python, SQL, Power BI, and Tableau
- TS/SCI with CI Poly Salary Range: The annual salary range for this position in Washington, DC is $180,000-$183,000. Physical & Work Environment Requirements Employees must be able to perform the essential functions of this position, with or without accommodation.
- Ability to remain stationary for extended periods while working at a computer.
- Frequently operate standard office equipment, including computers and telephones.
- Ability to communicate effectively in person, by telephone, video conference, and email.
- Occasionally move about the office and lift up to 20 pounds.
- Ability to work the assigned schedule with regular and reliable attendance.
- Ability to travel up to 10% as required.
- The Cares program: 30/60/90-day wellness check-ins, personal development, financial management, stress management seminars, and more
- A formal mentorship program
- Job shadowing and cross-training opportunities
- Brand Ambassador program
- Employee Assistance Program (EAP)
- Access to various support resources, including counseling, legal guidance, financial planning, and more
- Monthly teambuilding events
- Annual Wellness Challenges: #StepWithB&A, #WalkDuringLunchWithB&A, #VolunteeringWithB&A, #ExerciseDuringLunchWithB&A, and more
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