AI & GenAI Data Scientist-Director
Responsibilities
- Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights
- Overseeing the implementation of data infrastructure and integration to support scalable AI systems
- Driving business growth by identifying market opportunities and converting them into successful client engagements
- Mentoring and guiding teams in the application of advanced data analytics and AI techniques
- Promoting technological advancements and fostering an environment where people and technology thrive together
- Collaborating with executive-level clients to shape strategic directions and deliver impactful solutions
- Utilizing programming languages such as Python and C++ to develop and deploy AI models
- Managing complex data analysis and confirming data quality and integrity within analytics frameworks
- Encouraging creativity and innovation in problem-solving and solution development
- Building and maintaining relationships with stakeholders to enhance client satisfaction and project success
Requirements
- At least a Bachelor's degree
- At least 12 years of experience
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- 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 and C++ for complex data analysis and modeling
- Leading AI-driven automation projects with strategic mindset and innovation
- Promoting technological advances in data infrastructure and integration
- Cultivating potential in others through coaching and feedback
Qualifications
- Preference for certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Experience leading AI-driven automation projects with strategic mindset and innovation
- Experience promoting technological advances in data infrastructure and integration
- Experience in mentoring and guiding teams in the application of advanced data analytics and AI techniques
Benefits
The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.
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
Schedule
Full time
Pay
$155,000 - $410,000
Company Information
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.
PwC does not intend to hire experienced or entry level job seekers who 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.
Learn more about how we work: https://pwc.to/how-we-work
Application Instructions
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage: https://pwc.to/us-application-deadlines