Overview
On Site
$$40hr - $45hr
Contract - W2
Contract - 1 day((s))
Skills
Data Scientist
Job Details
Job Description:
- Fully support, configure, maintain, and upgrade networks and servers at the Department of Aviation.
- XXgn, build, and refine predictive models and algorithms to enhance decision-making and business value.
- Maintain and optimize data pipelines, ensuring integrity, security, and performance across the organization.
- Research and propose innovative data science methodologies to improve existing processes.
- Deliver advanced analytical insights using statistical models, machine learning, and AI to solve complex problems.
- CollaboXX with stakeholders across departments to understand data needs and deliver tailored analytics solutions.
- Optimize data systems and models, ensuring operational efficiency with regular updates.
- Monitor model performance for accuracy, scalability, and stability.
- Maintain technical documentation for all data science projects.
- Translate data findings into actionable insights for non-technical stakeholders.
- Provide mentorship and guidance to junior data scientists and analysts.
- Respond to and resolve complex data-related issues.
- Ensure compliance with data governance and security standards.
- Recommend improvements for data infrastructure and processes.
- Provide data-driven support for mission-critical business functions.
- Develop and maintain data recovery and contingency plans.
- Select appropriate data science methodologies and tools to meet business objectives.
- Balance short-term deliverables with long-term stXXgy.
- Influence business decisions with actionable insights.
- Candidatetor and guide junior staff on technical best practices.
- Present findings and strategies to upper management.
- Deep knowledge of machine learning, AI, data mining, and predictive analytics.
- Proficiency in Python, R, SQL, TensorFlow, Scikit-learn.
- Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud).
- Strong problem-solving and innovative thinking skills.
- Excellent communication skills for both technical and non-technical audiences.
- Proven cross-departmental collaboration.
- Leadership and mentoring experience.
- Familiarity with data security best practices and compliance standards.
- Project management and multitasking ability.
- Initiative, adaptability, and customer-focused mindset.
- Bachelor's degree in Data Science, Computer Science, Mathematics, or a related field (equivalent experience considered).
- 5+ years of experience in data science, data engineering, or related fields.
- Preferred: Master's or PhD in Data Science or related field.
- Experience leading teams or enterprise-level data projects.
- Hands-on experience with Databricks, Azure Data Services, AWS Machine Learning Services.
- Experience with ESRI/GIS analytics and spatial data insights.
- Relevant certifications in machine learning, data science, cloud computing, or network administration are highly desirable.
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