AI Data Scientist Manager

PRICE WATERHOUSE COOPERS

New York (NY)

On-site

USD 99,000 - 252,000

Full time

14 days+

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Benefits offered by this job

Annual discretionary bonus
Medical insurance
Dental insurance
Vision insurance
401k
Holiday pay
Vacation
Personal and family sick leave

Job summary

PwC in New York seeks an AI Data Scientist Manager to lead data science initiatives, translating raw data into actionable insights and guiding teams to unlock business growth. This onsite role emphasizes building predictive models, developing robust data pipelines, and mentoring colleagues through data science workflows.

The position offers a compensation range of USD 99,000 to 252,450 per year and requires a Bachelor's degree with at least 4 years of experience.

Qualifications

  • A Bachelor's degree
  • At least 4 years of experience

Responsibilities

  • Lead data science initiatives to convert raw data into actionable insights for informed decision-making
  • Guide teams in applying advanced analytics and statistical techniques to solve complex business problems
  • Develop and implement data models and algorithms to enhance predictive capabilities
  • Oversee the creation and maintenance of data pipelines and data lakes to support large-scale data processing
  • Utilize machine learning and deep learning techniques to drive innovation and improve data-driven strategies
  • Collaborate with stakeholders to identify opportunities for leveraging data to drive business growth
  • Coach team members to strengthen skills in data science workflows and troubleshooting
  • Validate data quality and integrity within analytics frameworks to support reliable insights
  • Encourage the adoption of innovative technologies and methodologies in data science projects
  • Manage project timelines and deliverables to align with client expectations and business objectives

Skills

Python

Education

Bachelor's degree

Job description

PwC is seeking an AI Data Scientist Manager to lead data science initiatives in New York, translating raw data into actionable insights and guiding teams to unlock business growth. This onsite role emphasizes building predictive models, developing robust data pipelines, and mentoring colleagues through data science workflows.

The position offers a compensation range of USD 99,000 - 252,450 per year and requires a Bachelor's degree with at least 4 years of experience.

Responsibilities
  • Lead data science initiatives to convert raw data into actionable insights for informed decision-making
  • Guide teams in applying advanced analytics and statistical techniques to solve complex business problems
  • Develop and implement data models and algorithms to enhance predictive capabilities
  • Oversee the creation and maintenance of data pipelines and data lakes to support large-scale data processing
  • Utilize machine learning and deep learning techniques to drive innovation and improve data-driven strategies
  • Collaborate with stakeholders to identify opportunities for leveraging data to drive business growth
  • Coach team members to strengthen skills in data science workflows and troubleshooting
  • Validate data quality and integrity within analytics frameworks to support reliable insights
  • Encourage the adoption of innovative technologies and methodologies in data science projects
  • Manage project timelines and deliverables to align with client expectations and business objectives
Requirements
  • A Bachelor's degree
  • At least 4 years of experience
Technologies
  • Python
Benefits
  • Annual discretionary bonus
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401k
  • Holiday pay
  • Vacation
  • Personal and family sick leave
What Sets You Apart
  • 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
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