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Associate Data Scientist - Space Intelligence
- Atlanta, Georgia, United States
- Atlanta, Georgia, United States
À propos
Key Responsibilities
70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation
10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings
Direct Manager/Direct Reports
This position reports to manager or above
This position has 0 direct reports
Travel Requirements
No travel required.
Physical Requirements
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Working Conditions
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Preferred Qualifications
Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
3+ years of experience in business intelligence and analytics
Working knowledge of Microsoft Excel and Power Point
Experience in a modern scripting language (preferably Python)
Experience running queries against data (preferably with Google BigQuery or SQL)
Experience in predictive modeling, data mining and data analysis
Experience with data visualization software (preferably Tableau)
Experience utilizing statistical techniques to identify key insights that help solve business problems
Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
Basic knowledge or exposure to predictive modeling, data mining and data analysis
Minimum Education
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
Preferred Education
No additional education
Minimum Years of Work Experience
0
Preferred Years of Work Experience
No additional years of experience
Minimum Leadership Experience
None
Preferred Leadership Experience
None
Certifications
None
Competencies
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
Customer Focus: Building strong customer relationships and delivering customer-centric solutions
Drives Results: Consistently achieving results, even under tough circumstances
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
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Compétences linguistiques
- English
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