ZoomInfo Technologies LLC
DataScientistII
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“Data Scientist II at ZoomInfo Technologies LLC. Skills: Data science, Machine learning, Data engineering, Analytics. Contribute to data science projects. Apply understanding of business operations”
What You'll Achieve.
Support business decision-making; Inform decisions about operations; Inform decisions about go-to-market strategy
Industry & Context.
Solve business problems; Draw insights from data; Resolve issues
What They're Looking For.
Must Have
Master's degree in STEM or quantitative field, 2+ years of experience building and deploying data science or machine learning solutions, 1+ production deployment, Demonstrated experience translating business questions into data science problems, Proficiency in Python and SQL, Experience with data visualization tools, Experience working with cloud data and ML platforms, Working knowledge of applied statistical methods and machine learning techniques
Nice to Have
Doctoral degree in STEM or quantitative field, Familiarity with MLOps practices, Experience designing and maintaining dashboards, Experience presenting analyses to senior audiences, Exposure to Sales, Marketing, Finance, or HR analytics domains
What You'll Do.
Contribute to data science projects
Apply understanding of business operations
Translate requirements into data science tasks and KPIs
Identify opportunities for data science support
Summarize data into written reports
Convey findings to team and stakeholders
Perform data preprocessing
Perform feature engineering
Perform model selection for routine problems
Work independently on tasks
Analyze model performance
Use distributed processing systems
Handle datasets of increasing size and complexity
Identify and resolve issues in pipeline development
Identify and resolve issues in pipeline deployment
Apply established software development practices
Use common data science libraries
Implement designed solutions efficiently
Participate in code reviews
Validate code meets requirements
Validate code meets standards
Create initial technical documentation
How You'll Work.
Team & Collaboration
Collaborating with team members; Convey findings to team; Work closely with business stakeholders
Communication Scope
Communicating insights; Communicating trends
Full Job Description
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. As a Data Scientist II, you will leverage theory, data, and research to solve business problems. You will support data science and analytics efforts across multiple areas of the business including Sales, Marketing, Finance, HR, and related functions. You will contribute to building and improving measurement and reporting processes. To this end, you will help teams access insights needed to operate effectively. This role will be responsible for drawing insights from large data sets, defining and implementing key model performance indicators, and for communicating insights and trends to support business decision-making, as it relates to data science-enabled decisions. This role will work with datasets relevant to assigned projects and business areas and be responsible to work closely with business stakeholders on measurement, success metrics, and analytics. Effectiveness in this position will require an understanding of technical methods and data engineering necessary to build and implement data science models, as well as knowing general industry trends, business objectives, and workforce dynamics. You will use data to develop insights, forecasts, metrics, dashboards and recommendations to inform decisions about our operations and go-to-market strategy. What You’ll Do (Essential Functions) Contribute to data science projects supporting Sales, Marketing, Finance, HR, and related functions, collaborating with other team members. Apply an understanding of business operations to translate defined requirements into data science tasks and KPIs, and identify opportunities where data science can support team objectives. Translate and summ
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