AIT - AI Data Scientist Manager
Responsibilities
- Leading data science initiatives to transform raw data into actionable insights for informed decision-making
- Guiding teams in the application of advanced analytics and statistical techniques to solve complex business problems
- Developing and implementing data models and algorithms to enhance predictive capabilities
- Overseeing the creation and maintenance of data pipelines and data lakes to support large-scale data processing
- Utilizing machine learning and deep learning techniques to drive innovation and improve data-driven strategies
- Collaborating with stakeholders to identify opportunities for leveraging data to drive business growth
- Coaching team members to enhance their skills in data science workflows and troubleshooting
- Validating data quality and integrity within analytics frameworks to support reliable insights
- Encouraging the adoption of innovative technologies and methodologies in data science projects
- Managing project timelines and deliverables to align with client expectations and business objectives
Requirements
- At least a Bachelor's degree
- At least 4 years of experience
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance
- Utilizing statistical analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions
- Using Python, data science libraries, model validation methods, and modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to business and technical stakeholders
- Demonstrating proficiency in data science algorithms and workflows
- Utilizing machine learning and deep learning techniques effectively
- Excelling in complex data analysis and predictive modeling
- Managing data pipelines and confirming data quality
- Leveraging programming languages for data engineering tasks
- Embracing change and fostering innovation in data science projects
Qualifications
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance
Skills
- Statistical analysis
- Machine learning
- Data preparation
- Experimentation
- Model evaluation
- Python
- Data science libraries
- Model validation methods
- Modern AI/ML approaches
- Generative AI
- Data science algorithms
- Data pipelines
- Data quality management
- Programming languages
- Innovation
Benefits
- Medical
- Dental
- Vision
- 401(k)
- Holiday pay
- Vacation
- Personal and family sick leave
- Discretionary bonus
Pay
The salary range for this position is: $99,000 - $252,450. For residents of Washington state the salary range for this position is: $99,000 - $297,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.
Schedule
Full time
Travel
Up to 20%
Company Description
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
EEO Statement
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 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 learn more about how we work, please visit the following link: https://pwc.to/how-we-work