Senior Data Scientist with ML & AI Ops

Overview

Hybrid
$80,000 - $140,000
Full Time

Skills

Data Scientist
Machine Learning
ML
AI
Artificial Intelligence
AI OPS
Machine Learning (ML)
NumPy
R
Python
Apache Spark
Data Manipulation
Scala
ML OPS
TensorFlow
PyTorch
Scikit-learn
data visualization
AWS
cloud

Job Details

Position Title : Senior Data Scientist with ML & AI Ops
Location : Atlanta, GA/ New Jersey
Experience : 10+ Years
Employee Type : Full Time with Benefits
Job Description:
We are seeking a highly skilled Senior Data Scientist with 10+ years of experience to join our team and drive our AI Ops initiatives. The ideal candidate will leverage advanced analytics, machine learning, and data-driven insights to enhance operational efficiency, improve decision-making, and support the deployment of AI solutions across the organization.
Responsibilities:
  • Develop and implement machine learning models and algorithms to optimize AI operations and enhance system performance.
  • Collaborate with cross-functional teams to identify business needs and translate them into data-driven solutions.
  • Analyze large datasets to extract actionable insights and support strategic decision-making.
  • Design and conduct experiments to validate model performance and improve operational processes.
  • Monitor and maintain AI models in production, ensuring they operate effectively and efficiently.
  • Communicate findings and recommendations to stakeholders through clear visualizations and presentations.
  • Stay updated on industry trends and emerging technologies in AI and data science to drive innovation within the organization.
  • Mentor junior data scientists and contribute to the development of best practices in data science and AI Ops.

Qualifications:
  • Master s or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
  • 10+ years of experience in data science, with a focus on AI and machine learning applications.
  • Proficiency in programming languages such as Python, R, or Scala, and experience with data manipulation libraries (e.g., Pandas, NumPy).
  • Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data visualization tools (e.g., Tableau, Matplotlib).
  • Experience with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark).
  • Excellent problem-solving skills and the ability to work with complex datasets.
  • Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders.
  • Proven track record of successful project management and collaboration in a team-oriented environment

Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant ;/pre>
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About Capgemini America, Inc.