Compensation Overview

ZoomInfo is looking for an experienced professional to lead our data science team. In this role, you will oversee a remote global data science team. Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.

What You’ll do:

• Manage, mentor, and lead a remote team of data scientists, ensuring smooth operation and project delivery
• Coordinate project planning and management, in conjunction with product, data science, and ML engineering, to ensure timely delivery and focused execution
• Regularly interact with the team to reinforce machine learning and data concepts, and guide them in the creation of product features with Generative AI, NLP, deep learning, and classical machine learning techniques
• Drive the execution of data science initiatives by streamlining all phases of data-centric innovation, including data access and exploration, model development, productionisation, testing, and monitoring
• Manage projects to productionize and deploy data science models and pipelines
• Evangelize and drive adoption of the ML capabilities, and strive for operational excellence
• Design and establish measures of team performance, feedback processes, and rituals
• Advocate for the team needs and manage personnel issues, providing guidance and support when necessary
• Other duties as assigned.

What you bring:

• 8+ years experience working in data science
• 5+ years experience managing a team
• Proven experience building successful development teams 
• Proven track record working tightly with cross-functional teams like Product Managers, Data Engineering to jointly ideate and craft DS products
• Degree in Computer Science, Electrical Engineering, or related field

• Expertise in Python and SQL, with working experience in Apache Spark, Databricks, or other big data systems
• Experience with deep learning frameworks such as PyTorch, Tensorflow, HuggingFace
• Experience with Ray, Kubernetes, or Airflow a plus

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