AI & GenAI Data Scientist - Manager

Responsibilities

• Designing and implementing AI systems to transform raw data into actionable insights
• Leading teams in the development of scalable machine learning models and solutions
• Managing complex data analysis and integration to support AI-driven initiatives
• Utilizing programming languages such as Python and Java to enhance AI model deployment
• Overseeing the creation and maintenance of data pipelines and infrastructure
• Applying deep learning techniques and neural networks to improve predictive analytics
• Collaborating with stakeholders to address data challenges and optimize AI applications
• Mentoring team members to develop skills in AI implementation and data engineering
• Validating data quality and compliance within AI frameworks
• Encouraging innovation and embracing change to drive business growth through AI solutions

Requirements

• At least a Bachelor's degree
• At least 6 years of experience
• 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
• 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 complex data analysis and data modeling techniques
• Excelling in coaching and mentoring team members
• Embracing change and innovation in technology consulting
• Developing skills in neural networks and natural language processing

Qualifications

• At least a Bachelor's degree
• At least 6 years of experience
• 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
• 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 complex data analysis and data modeling techniques
• Excelling in coaching and mentoring team members
• Embracing change and innovation in technology consulting
• Developing skills in neural networks and natural language processing

Skills

• Data, algorithms, and software engineering
• Building and deploying software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale
• Designing AI systems
• Data wrangling
• Software implementation
• Deep learning techniques and neural networks
• Natural language processing

Benefits

• Medical
• Dental
• Vision
• 401(k)
• Holiday pay
• Vacation
• Personal and family sick leave

Pay

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

Schedule

Not specified

Benefits

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

Equal Opportunity Employer

PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

Los Angeles County Fair Chance Ordinance

PwC does not intend to hire experienced or entry level job seekers that will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

How We Work

To view how we work, please visit the following link: https://pwc.to/how-we-work

Anticipated Application Deadlines

Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines