Manager Data Science

Zoominfo is actively seeking a hands-on Manager of Data Science to join our Enterprise Data and Analytics team. In this strategic role, you will lead efforts to analyze and harness diverse datasets across our organization, with a primary focus on leveraging data science and machine learning to drive actionable insights and outcomes.

Your responsibilities will encompass developing advanced data analytics models, implementing machine learning algorithms, and optimizing data pipelines. You will play a pivotal role in delivering data-driven solutions that enhance our products and operations, ultimately driving business growth.

Collaboration with cross-functional teams, management, and senior leadership will be key as you translate complex data into actionable insights and strategies. We are looking for a visionary leader who is passionate about harnessing the power of data science and machine learning to solve complex business challenges and drive innovation.

Your role will involve shaping critical business questions, architecting data models, and leading the charge in applying cutting-edge data science techniques. Strong analytical skills, a deep enthusiasm for data science and machine learning, and a knack for communicating the value of data-driven decisions to diverse stakeholders will be essential.

Key Responsibilities

Leadership: Provide strategic direction and leadership to the Data Science team, fostering a culture of innovation, collaboration, and continuous improvement

Cross-Functional Collaboration: Collaborate closely with Product and GTM teams to identify opportunities where data science and machine learning can drive value and solve business challenges

Problem Solving: Lead efforts to tackle challenging data science and machine learning problems, from predictive modeling to natural language processing, that have a significant impact on the organization's success

Data-Driven Insights: Develop and implement strategies to extract actionable insights from data, enabling data-driven decision-making across the enterprise

Model Development: Oversee the development and deployment of machine learning models and algorithms to address complex business problems

Team Development: Attract, hire, and retain top data science talent while fostering their professional growth and development

Stakeholder Communication: Effectively communicate complex technical concepts and insights to non-technical stakeholders, guiding them in making informed decisions

Qualifications
Master's or advanced degree in Data Science, Computer Science, Statistics, or a related field

Proven experience in leading data science teams and delivering data-driven solutions in a corporate environment

Strong proficiency in machine learning, statistical analysis, and data visualization

Expertise in programming languages such as Python

SQL expertise for data extraction, transformation, and analysis

Excellent communication and leadership skills

Ability to collaborate effectively across cross-functional teams

Strong problem-solving and strategic thinking abilities