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 Software Engineer II, you will leverage theory, data, and research to solve business problems. You will support R&D and analytics efforts across multiple areas of the business including Product, Sales, Marketing, Finance, HR, and related functions.
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. Effectiveness in this position will require an understanding of technical methods and data engineering necessary to build and implement AI solutions, 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)
- Own research and development projects end-to-end. Scope ambiguous problems and define success metrics, through model development, deployment, and ongoing monitoring.
- Translate business questions from various business units into well-defined problems with clear KPIs, deliverables, and timelines.
- Assess the feasibility, expected impact, and tradeoffs of proposed initiatives to inform prioritization and scoping decisions with cross-functional partners.
- Design and conduct rigorous statistical analyses and build robust predictive models to answer complex business questions, selecting appropriate methods (e.g., regression, time series, survival/attrition, hypothesis testing, graph and network analysis) for the problem at hand.
- Design and implement production-ready pipelines that can handle large-scale datasets, leveraging distributed processing systems (e.g., Snowflake, Databricks, Google Cloud Platform) and building reusable, modular components.
- Write readable, well-structured, modular code using standard libraries, and ensure your work is tested, documented, and maintainable by others.
- Participate in code and design reviews, giving and receiving constructive feedback to raise the quality bar across the team.
- Contribute to shared practices, tooling, and documentation that improve how the data science function operates.
- Share knowledge with teammates and provide informal guidance to more junior colleagues on modeling, code, and analysis approaches.
The information in this job description represents a summary of the role and is not intended to be a comprehensive list of job duties. Responsibilities and duties of the position may change without notice at the Company’s discretion.
What You Bring (Required Qualifications)
- Master's degree in a STEM or quantitative field (computer science, mathematics, engineering, or related).
- 2+ years of professional experience building and deploying data science or machine learning solutions, including at least one production deployment.
- Demonstrated experience translating business questions into research problems and communicating findings to technical and non-technical audiences.
- Proficiency in Python and SQL, and experience with data visualization tools such as Tableau.
- Experience working with cloud data and ML platforms such as Snowflake, Databricks, or Google Cloud Platform.
Preferred Qualifications
- Doctoral degree in a STEM or quantitative field (computer science, mathematics, engineering, or related).
- Familiarity with MLOps practices - model versioning, monitoring, drift detection, CI/CD for ML.
- Experience presenting analyses to senior technical and non-technical audiences.
- Exposure to Sales, Marketing, Finance, or HR analytics domains.
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About us:
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
Skills Required
- Master's degree in a STEM or quantitative field such as computer science, mathematics, or engineering
- 2+ years of professional experience building and deploying data science or machine learning solutions
- At least one production deployment of a data science or machine learning solution
- Experience translating business questions into research problems and communicating findings to technical and non-technical audiences
- Proficiency in Python and SQL
- Experience with data visualization tools such as Tableau
- Experience with cloud data and machine learning platforms such as Snowflake, Databricks, or Google Cloud Platform
- Doctoral degree in a STEM or quantitative field
- Familiarity with MLOps practices, including model versioning, monitoring, drift detection, and CI/CD for machine learning
- Experience presenting analyses to senior technical and non-technical audiences
- Exposure to Sales, Marketing, Finance, or HR analytics domains
ZoomInfo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ZoomInfo and has not been reviewed or approved by ZoomInfo.
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Healthcare Strength — Benefits include comprehensive medical, dental, and vision coverage, plus mental health, transgender healthcare, wellness programs, gym reimbursement, and notable fertility assistance. Healthcare options are often described as competitive and a prominent strength of the total rewards.
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Parental & Family Support — Programs include generous parental leave, childcare assistance, Care.com access, and substantial adoption and surrogacy support. Family-forming benefits and leave policies indicate robust support for different life stages.
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Leave & Time Off Breadth — Salaried employees receive unlimited time off alongside paid holidays, flexible time off, wellness days, and bereavement leave. Unlimited PTO is described as genuinely usable in some roles and a meaningful component of the package.
ZoomInfo Insights
What We Do
ZoomInfo is the go-to-market (GTM) platform for businesses development and revenue growth. Powered by real-time data and insights, our unified engagement platform helps sales and marketing teams find, acquire, and grow customers.
Why Work With Us
ZoomInfo is where the world’s brightest minds in Data and Go-To-Market come together to do their best work. We’re a founder-led organization that recognizes your success with 2x the career mobility of our SaaS peers. Being action-oriented, resourceful, and resilient will not only help you fit in, it will help you thrive.
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