Data Scientist

Overview

Duration: 12 Months (potential to convert to fulltime)

Rate: $50/Hour on W2

Key Responsibilities:

• Data Analysis and Reporting:
  Develop and maintain regular reports and dashboards to track key performance indicators (KPIs).
• AI Integration and Implementation:
  Identify opportunities for AI/ML applications within existing processes, collaborate with engineers to develop, test, and deploy AI models, and ensure AI models are aligned with business objectives and deliver actionable insights.

• Process Optimization:
  Analyze current workflows and identify areas for automating and optimizing using AI; design and implement AI-driven solutions to improve efficiency and accuracy; monitor and measure the impact of AI solutions on business processes.

• Collaboration and Communication:
  Work with business stakeholders to understand their needs and translate them into AI solutions; communicate findings and recommendations to non-technical stakeholders clearly and effectively; provide training and support to team members and end-users on AI tools and methodologies; stay updated on the latest AI and data analytics trends and technologies; drive continuous improvement by identifying new tools, techniques, and best practices;
  
  participate in code reviews, team meetings, and collaborative projects to share knowledge and enhance team capabilities.

• Ensure data integrity, quality, and security within AI systems.
• Follow industry standards and best practices for data management and AI ethics.
• Ensure compliance with relevant regulations, policies, and procedures.

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.
• Proven experience as a Data Analyst, with a focus on AI integration.
• Proficiency in programming languages such as Python or R.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of AI/ML algorithms and models.
• Excellent analytical, problem-solving, and communication skills.

• Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field.

• Master's Degree in Data Science, Machine Learning, Artificial Intelligence, Business Analytics, or a closely related field.

• Certified Analytics Professional (CAP)
• Google Data Analytics Professional Certificate
• Associate IBM Data Science Professional
• Certificate Tensor Flow Developer Certificate