What are the responsibilities and job description for the Data Science with Generative AI position at Acadia Technologies, Inc.?
Job Details
Key Responsibilities and Skills:
- Data Analysis and Interpretation: Analyzing large, complex datasets to extract meaningful insights.
- GenAI Model Building and Fine-tuning: Creating and improving GenAI models for various data science applications.
- Prompt Engineering: Crafting effective prompts for GenAI models to achieve desired outcomes.
- Data Augmentation and Generation: Using GenAI to create synthetic data for training or testing models.
- Feature Engineering: Utilizing GenAI to identify and extract relevant features from data.
- Model Evaluation and Refinement: Assessing the performance of GenAI models and making improvements.
- Data Visualization: Creating clear and informative visualizations to communicate findings.
- Programming Skills: Proficiency in Python, R, or other relevant languages.
- Machine Learning and Statistical Analysis: Understanding of machine learning algorithms and statistical methods.
- Cloud Computing: Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
How GenAI Enhances Data Science:
- Automating Repetitive Tasks:GenAI can automate tasks like data preprocessing, feature engineering, and model building, freeing up data scientists to focus on more strategic work.
- Accelerating Insight Discovery:GenAI can help identify patterns and insights in data more quickly, leading to faster decision-making.
- Improving Data Quality:GenAI can be used to generate synthetic data for training or testing models, improving the quality and robustness of data science models.
- Enhancing Communication:GenAI can be used to create visualizations and reports that effectively communicate complex findings to stakeholders.
Examples of GenAI Applications in Data Science:
- Data Storytelling:Using GenAI to generate compelling narratives and visualizations based on data insights.
- Debugging Code:GenAI can explain error messages and help identify issues in code, accelerating the debugging process.
- Generating Test Cases:GenAI can be used to automatically generate test cases for software and applications.
- Content Creation:GenAI can be used to create various forms of content, such as reports, articles, and presentations.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $80,000
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