Job Description

Junior Data Analyst AI Data Collection

New York, NY, Jersey City, NJ, Redmond WA, Miami/Tampa/Orlando FL Onsite Need locals

4-6+ Months Contract

Freshers/ Recent Graduates/ Interns/ Junior Analyst with 0-1 years of experience are allowed with Work permit.

Need Locals who can visit client locations mentioned above.

Max salary: $15/hr on our W2

Job Description:

Key Responsibilities

The primary duties of the Data Analyst will center around ensuring data quality and readiness for AI/ML projects:

• Data Sourcing and Collection:
  • Execute and monitor data collection processes to acquire diverse, high-volume, and high-quality data sets essential for training AI/ML models.
  • Collaborate with Data Engineers and Scientists to define and implement robust data collection methodologies and pipelines.
• Analysis and Reporting:
  • Conduct descriptive and diagnostic analysis on collected data to identify trends, patterns, and issues that could impact model performance (Coetzee & Goede, 2024).
  • Utilize statistical methods to validate data samples and test hypotheses related to data distribution and model requirements.
  • Create clear, concise reports and visualizations (e.g., dashboards) to communicate data collection progress, quality metrics, and key findings to technical and non-technical stakeholders (Meyer, 2019).

Required Qualifications

Education & Experience

• Bachelor's degree in computer science, Data Science, Statistics, Mathematics, or a related quantitative field.
• Freshers/ Recent Graduate/Interns/1+ years of experience working as a Data Analyst or in a similar role involving extensive data manipulation and quality assurance.

Soft Skills

• Analytical and Problem-Solving: Proven ability to analyze complex data issues and develop practical, data-driven solutions.
• Communication: Excellent written and verbal communication skills to articulate technical findings clearly to diverse audiences.
• Attention to Detail: Meticulous approach to data management and quality control, which is critical for AI performance.
• Collaboration: Ability to work effectively within a cross-functional team of Data Scientists, Engineers, and Domain Experts.

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