Pay Range $80hr – $85hr
Understanding Client Requirements:
- Collaborating with clients to gain a deep understanding of their specific data-related challenges and objectives.
- Translating client requirements into actionable project plans and data science solutions.
Ideation and Solution Development:
- Generating creative and innovative ideas to address complex data problems.
- Designing and developing data-driven solutions that align with client goals.
Strong Python Background:
- Demonstrating expertise in Python programming and virtual environments.
- Utilizing Python libraries and tools for data analysis and machine learning.
End-to-End Project Deployment:
- Managing the entire project lifecycle, from data collection and preprocessing to model deployment.
- Ensuring seamless integration of data science solutions into the client’s workflow.
- Establishing clear and effective communication channels with clients to provide updates, gather feedback, and ensure project alignment with client expectations.
- SQL Skillset: – Proficiency in SQL for data extraction, transformation, and querying from various databases.
- APIs Development: – Developing and integrating APIs to enable data retrieval and interaction with data-driven applications.
- Data Integration: – Collecting and processing data from multiple sources, including API calls, and comprehending the intricacies of API functionality.
- Exploratory Data Analysis (EDA): – Conducting EDA to gain insights from data, identify patterns, and inform data science strategies.
- Alteryx Development:Proficiency in Alteryx for data preparation, blending, and transformation.
- Python OCR and PDF Skills:- Experience in Optical Character Recognition (OCR) for extracting text from images and scanned documents.
- Proficiency in scraping data from PDFs and manipulating PDF data.
- Knowledge of reconciliation systems and processes.
- Salary Offer 0 ~ $3000
- Experience Level Junior
- Total Years Experience 0-5
- Dropdown field Option 1