Why This Role Stands Out
Leverage your advanced analytical skills in a hybrid environment at Droisys, where you'll contribute to impactful decision-making processes and drive innovation in data science. This mid-senior role offers significant opportunities for professional growth and skill development, making it an ideal fit for experienced Data Scientists eager to make a difference. Apply today to explore this exciting career path!
Quick Overview
Job Description
Data Scientist
Introduction
We are looking for a Data Scientist to join our team. The ideal candidate will be responsible for developing and applying probability models, statistical inference, simulations, optimization, data analysis, data visualization, and mathematical models to solve operational problems. They will also introduce quantitative and qualitative analysis, data analytics, and data science to military decision-making processes.
Responsibilities
- Develop and apply probability models, statistical inference, simulations, optimization, data analysis, and data visualization
- Introduce quantitative and qualitative analysis, data analytics, and data science to military decision-making processes
- Conduct analysis, assessments, and determine progress of Agency directives
- Analyze data to identify trends, patterns, and insights
- Collaborate with cross-functional teams to gather and interpret data
- Create simulations and predictive models to forecast future outcomes
- Optimize resource allocation and logistical processes
- Conduct cost-benefit analysis to evaluate project feasibility
- Prepare and present reports to communicate analytical results and recommendations
- Use statistical software and programming languages to perform analyses
- Monitor the effectiveness of implemented solutions and recommend improvements
- Stay updated with the latest industry trends and analytical techniques
Requirements
Must Haves:
- Bachelor''s degree and 8-12 years’ experience or Master’s degree and 6-10 years’ experience in Operations Research, Mathematics, Statistics, Computer Science, or a related field
- Experience with specialized software such as MATLAB, SQL, SAS, Python, GitHub, R or Tableau
- Familiarity with machine learning techniques and data mining
- Experience with data analysis and statistical software
Nice to Have:
- Experience using Palantir
- Experience applying AI to analyze large datasets
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