Description

Job description 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 will 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 What do you bring : 8+ years working in data science 5+ years experience managing a team Proven experience building successful development teams 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 The US base salary range for this position is $176,000.00 - $220,000.00 + bonus, equity and benefits. Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and / or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. LI-VC1 LI-Hybrid J-18808-Ljbffr

Role and Responsibilities

• Responsibilities • In this role, you will oversee a remote global data science team • 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 • 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 Benefits • The US base salary range for this position is $176,000.00 - $220,000.00 + bonus, equity and benefits • Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and / or training • In addition to comprehensive benefits we offer holistic mind, body, and lifestyle programs designed for overall well-being