Senior Data Science Engineer

$134,000 - $161,000/Yr

Publicis Groupe - Arlington, VA

posted about 2 months ago

Full-time - Senior
Arlington, VA
10,001+ employees
Professional, Scientific, and Technical Services

About the position

The Senior Associate, Data Science position at Publicis Sapient is designed for individuals who are passionate about leveraging data to drive transformation for clients globally. This role is pivotal in accelerating and implementing data-driven transformation (DDT) strategies, collaborating closely with digital directors, client teams, and practice capabilities. The Senior Associate will play a crucial role in ensuring that Publicis Sapient remains at the forefront of digital innovation, execution, and value realization through data-driven solutions. In this position, you will be expected to apply your expertise in machine learning and artificial intelligence, particularly in generative AI (GenAI). You will be responsible for developing and implementing generative AI models and algorithms, including Retrieval Augment generation and prompt engineering. Your ability to work with large datasets and apply preprocessing techniques will be essential. Additionally, you will have experience in building and deploying multi-modal generative AI systems in real-world applications, particularly within the Google Cloud Platform ecosystem, utilizing tools such as ImageGen, Vector Search, and Vertex AI. As a leader in machine learning and deep learning, you will oversee the development and implementation of advanced machine learning models, ensuring technical excellence. You will design and implement ML engineering workflows that streamline the deployment of models and systems into production, enhancing efficiency. Your strong understanding of machine learning and deep learning principles will be critical in guiding your team and ensuring successful project outcomes. Your extensive experience in Data Science roles will enable you to lead and mentor small data science project teams effectively. You will have a proven track record of successfully deploying multiple data science models and systems within the Google Cloud Platform ecosystem. Your expertise in Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps) will further enhance your contributions to the team. Additionally, familiarity with collaborative development tools and practices, including peer code reviews and version control (Git), will be essential for success in this role.

Responsibilities

  • Work with clients to drive data-driven transformation strategies globally.
  • Develop and implement generative AI models and algorithms.
  • Build and deploy multi-modal generative AI systems in real-world applications.
  • Lead the development and implementation of advanced machine learning models.
  • Design and implement ML engineering workflows for optimal model deployment.
  • Mentor and lead small data science project teams.
  • Ensure successful deployment of data science models and systems in production.
  • Utilize Google Cloud Platform tools for data science projects.

Requirements

  • Extensive experience in Data Science roles with a focus on machine learning and AI.
  • Proven background in leading and mentoring data science project teams.
  • Experience with generative AI models and algorithms, including prompt engineering.
  • Strong understanding of machine learning and deep learning principles.
  • Expertise in Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps).
  • Familiarity with collaborative development tools and practices, including Git.
  • Experience with Google Cloud Platform ecosystem, particularly ImageGen, Vector Search, and Vertex AI.

Nice-to-haves

  • Experience in working with large datasets and preprocessing techniques.
  • Knowledge of advanced machine learning engineering workflows.
  • Familiarity with peer code reviews and version control systems.

Benefits

  • Flexible vacation policy; time is not limited, allocated, or accrued.
  • 16 paid holidays throughout the year.
  • Generous parental leave and new parent transition program.
  • Tuition reimbursement.
  • Corporate gift matching program.
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