Deloitte

Deep Learning Data Science Manager

Deloitte

Los Angeles, CA, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Deloitte is looking for an experienced Deep Learning Data Science Manager to join our team and help drive our cutting-edge initiatives in AI and Machine Learning. The successful candidate will have a passion for exploring and developing new, innovative solutions while leveraging deep learning and data science best practices.We’re looking for someone with a demonstrated history of success in deep learning and data science, a keen eye for detail, and the ability to work in a fast-paced environment. You should have strong leadership skills and the ability to think strategically and communicate complex concepts in a simple manner.The ideal candidate will possess a degree in Computer Science, Mathematics, or a related field and have at least five years of experience working in deep learning and data science. Knowledge of the latest industry trends and technologies is a must. Additionally, you should have experience developing and/or deploying AI models and be familiar with popular deep learning frameworks. A proven track record of successful project delivery and collaboration with stakeholders will be highly regarded.If you are passionate about advancing deep learning and data science research and development, and have the qualifications to back it up, we want to hear from you!

Responsibilities:

  1. Lead initiatives in AI and Machine Learning, leveraging deep learning and data science best practices.
  2. Analyze and develop innovative solutions to complex data challenges.
  3. Communicate complex concepts in a simple and understandable manner.
  4. Develop and deploy AI models using popular deep learning frameworks.
  5. Collaborate with stakeholders to ensure successful project delivery.
  6. Monitor and evaluate the latest industry trends and technologies.
  7. Provide high-level strategic direction for deep learning and data science projects.
  8. Supervise and mentor junior team members.
Where is this job?
This job is located at Los Angeles, CA, USA
Job Qualifications
  • Machine Learning

  • Pytorch

  • Extensive Experience In Deep Learning

  • And/Or Artificial Intelligence

  • Proven Track Record Of Developing And Deploying Advanced Analytics Solutions In The Cloud

  • Advanced Knowledge Of Python

  • R

  • And/Or Sql

  • Knowledge Of The Latest Deep Learning Frameworks Such As Tensorflow

  • And/Or Caffe

  • Ability To Develop And Execute Project Plans

  • Manage Resources

  • And Deliver Results

Required Skills
  • Python

  • Communication

  • Management

  • R

  • Deep Learning

  • Team Building

  • Data Visualization

  • Automation

  • Cloud Computing

  • Analytics

  • Data science

  • Modeling

  • System architecture

  • Problem-Solving

  • AI

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Time management

  • Interpersonal Skills

  • creativity

  • Critical thinking

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Deep Learning Data Science Manager in Los Angeles, CA, USA is $128,000- $175,000 per year. This salary range is based on data collected from various sources, such as job postings and self-reported salaries.

Additional Information
Deloitte is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedOctober 24th, 2023
Apply BeforeJune 21st, 2025
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About Deloitte

Deloitte Touche Tohmatsu Limited, commonly referred to as Deloitte, is a multinational professional services network. Deloitte is one of the "Big Four" accounting organizations and the largest professional services network in the world by revenue and number of professionals.

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