Gen AI Data Scientist – Senior Associate

Job Description: GenAI Data Scientist - Senior Associate (PwC US AC)

PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming.

Responsibilities:

- Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies.

- Develop and implement machine learning models and algorithms for GenAI projects.

- Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis.

- Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines.

- Validate and evaluate model performance using appropriate metrics and techniques.

- Develop and deploy production-ready machine learning applications and solutions.

- Utilize object-oriented programming skills to build robust and scalable software components.

- Utilize Kubernetes for container orchestration and deployment.

- Design and build chatbots using GenAI technologies.

- Communicate findings and insights to stakeholders through data visualizations, reports, and presentations.

- Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes.

Requirements:

- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

- 3-5 years of relevant technical/technology experience, with a focus on GenAI projects.

- Strong programming skills in languages such as Python, R, or Scala.

- Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.

- Experience with data preprocessing, feature engineering, and data wrangling techniques.

- Solid understanding of statistical analysis, hypothesis testing, and experimental design.

- Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.

- Knowledge of data visualization tools and techniques.

- Strong problem-solving and analytical skills.

- Excellent communication and collaboration abilities.

- Ability to work in a fast-paced and dynamic environment.

Preferred Qualifications:

- Experience with object-oriented programming languages such as Java, C++, or C#.

- Experience with developing and deploying machine learning applications in production environments.

- Understanding of data privacy and compliance regulations.

- Relevant certifications in data science or GenAI technologies.

Nice to Have Skills:

- Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock.

- Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc.

- Experience in chatbot design and development.

If you are passionate about GenAI technologies and have a proven track record in data science, join PwC US - Acceleration Center and be part of a dynamic team that is shaping the future of GenAI solutions. We offer a collaborative and innovative work environment where you can make a significant impact.