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Data Scientist
Virtual, RemoteJPC Partners is looking for a Data Scientist that will help drive the technological exploration of AI related technologies/solutions to address current and future business opportunities.
This person must have strong experience with prompt engineering, using a variety of data mining/ analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Responsibilities:
This person must have strong experience with prompt engineering, using a variety of data mining/ analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Responsibilities:
- Interact and expand capacities of LLMs
- Develop custom data models and algorithms to apply to data sets
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
- Mine and analyze company and external datasets to drive predictions and actions
- Assess the effectiveness and accuracy of new data sources and execute data wrangling techniques.
- Create dashboards of liability assessments
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- A drive to learn and master new technologies and techniques
- Strong understanding of AI/ML cloud services and infrastructure, including how to leverage them and experience with SaaS infrastructure technologies (AWS/Azure preferred)
- Experience with fraud detection a plus
- Ability to quickly assimilate, organize, analyze, abstract, and synthesize large amounts of information and to make decisions based on this analysis
- Excellent written and verbal communication skills
- Ability to present and explain technical concepts to non-technical audiences
- Comfortable working in a dynamically and changing environment.
- Comfortable working with loosely defined requirements where you exercise your creativity and analytical skills to deliver best in class solutions