Jobs · Engineering · Florida

AIT - AI Data Scientist Manager

PwC · Tampa, FL · 2 wk ago
Engineering$99k–$252k/yrFull-time

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

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