AI & GenAI Data Scientist-Senior Associate

PwC
Rosemont, IL, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$77,000.0 - $202,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Systems Engineering Artificial Neural Networks Microsoft Azure C++ (Programming Language) Cloud Computing Information Technology Consulting Information Engineering Data Infrastructure Data Transformation
+20 more
Information Sciences Python (Programming Language) Machine Learning Natural Language Processing Tensorflow Software Engineering Product Software Implementation Methods Text Mining Reinforcement Learning Data Processing Google Cloud Snowflake Deep Learning Build Management Scikit Learn Text Analysis Data Pipelines Software Library Databricks Programming Languages

Job description

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., * 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

Requirements

Do you have experience in Text mining tools?, * At least a Bachelor’s degree

  • At least 2 years of experience

What Sets You Apart

  • 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

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Health insurance
  • Vision insurance
  • Dental insurance
  • Paid holidays, The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual’s skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

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