Senior Manager
Data Science
Posted on 3/19/2024
ZoomInfo

1,001-5,000 employees

Platform providing real-time business data and insights
Company Overview
ZoomInfo, a leading go-to-market platform, offers businesses a competitive edge by providing accurate, real-time data and insights to over 35,000 companies globally, thereby enhancing efficiency and aligning sales and marketing teams. The company stands out for its strict adherence to data privacy, boasting industry-leading GDPR and CCPA compliance and multiple data security and privacy certifications. Furthermore, ZoomInfo's all-in-one platform enables businesses to identify and engage potential customers before competitors, uniting sales and marketing teams around a single source of truth and facilitating rapid scaling through task automation across all outreach channels.
Data & Analytics

Company Stage

Series A

Total Funding

$7M

Founded

2007

Headquarters

Vancouver, Washington

Growth & Insights
Headcount

6 month growth

4%

1 year growth

11%

2 year growth

39%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
Data Structures & Algorithms
SQL
CategoriesNew
Data Science
Data & Analytics
Requirements
  • 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.
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.