AI & GenAI Data Scientist-Senior Associate

PricewaterhouseCoopers•Raleigh, NY

1d•Remote

About The Position

As an AI & GenAI Data Scientist-Senior Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow. In this role, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Your contributions will be crucial in transforming data into insights, driving business growth, and enabling informed decision-making.

Requirements

At least a Bachelor's degree
At least 2 years of experience

Nice To Haves

Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
Demonstrating proficiency in AI implementation and machine learning libraries
Utilizing Python for complex data analysis and modeling
Excelling in neural network design and reinforcement learning agents
Applying natural language processing techniques for text analytics
Leveraging TensorFlow and Scikit-Learn for deep learning projects

Responsibilities

Designing and implementing AI systems to transform raw data into actionable insights
Developing and deploying scalable AI and Machine Learning solutions using advanced technologies
Collaborating with clients to understand their data needs and deliver tailored solutions
Utilizing programming languages such as Python and C++ to build robust data models
Managing data pipelines and confirming data quality and integration across platforms
Applying machine learning libraries like TensorFlow and Scikit-Learn to enhance model performance
Conducting complex data analysis to inform strategic decision-making
Leveraging natural language processing and text analytics for innovative AI applications
Building and maintaining data infrastructure to support AI-driven automation
Mentoring junior team members and fostering a collaborative work environment