Full-Time Data Scientist/Prompt Engineer

The ideal candidate will have a strong foundation in machine learning principles, experience with relevant tools and frameworks, and a passion for continuous learning and innovation.

The ability to work standard Eastern Time Zone is expected. (100% Remote)

What you'll be doing:

• Conceptualize and develop custom AI-driven data pipelines which address client problems, maximize efficiency, and maintain high standards of quality.
• Design and develop statistical analyses, visualize the output of statistical models, present and interpret the output of predictive models, and perform quality assurance tasks on model code and output.
• Identify important and interesting questions about large datasets, then translate those questions into concrete analytical tasks.
• Build quantitative models with data and communicate the results of those models to stakeholders.
• Help conceptualize, as well as perform, data analyses to summarize trends.
• Develop and execute database queries that in turn support developing/formatting modeling inputs

Required Qualifications:

• Bachelor's degree in a technical field: Computer Science, Engineering, or related discipline
• 5+ years of experience with modeling and quantitative analysis using standard statistical software.
• 3+ years' experience working with any major public cloud service (experience preferred with SageMaker, AzureML, VertexAI or similar).
• 3+ years' experience with NLP, anomaly detection, graph theory, deep learning principles and practices.
• 2+ years' experience in SQL and DB programming.
• Highly proficient in Python.
• Experience with GenAI and LLM tools and frameworks.
• Strong communication and teamwork abilities.
• Ability to obtain and maintain a Public Trust

Preferred Qualifications:

• Experience with incorporating Generative AI into data transformation pipelines.
• Experience with Deep Learning capabilities.
• Experience with data warehouse design and development as well as data modeling for both relational and dimensional data models.
• Experience in reporting, story-telling and data visualization technologies such as Tableau, Shiny, Bokeh.
• Demonstrated experience showing strong critical thinking and problem-solving skills paired with a desire to take initiative.
• Excellent listening, written, and oral communication skills.
• Ability to exercise independent judgement while effectively prioritizing and executing tasks while under pressure.
• Team player with the ability to work in a fast-paced environment.