ZoomInfo Technologies LLC Verified

Software, Data Analytics, Sales & Marketing Technology

Software Engineer II

Name: RiseMe
Availability: InStock

RemoteRemoteFull TimePosted 1 month ago

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Required skills

Python
SQL
Tableau
Snowflake
Databricks
Google Cloud Platform
data science
machine learning
production deployment
statistical analyses

Nice to have

MLOps
model versioning
monitoring
drift detection
CI/CD for ML
Sales analytics

Role summary

ZoomInfo is seeking a Software Engineer II to leverage theory, data, and research to solve business problems across Product, Sales, Marketing, Finance, and HR. This role involves drawing insights from large datasets, defining model performance indicators, and communicating trends to support business decisions. Responsibilities include owning R&D projects end-to-end, translating business questions into well-defined problems with clear KPIs, designing statistical analyses and predictive models, and implementing production-ready data pipelines using cloud platforms like Snowflake, Databricks, or GCP. Proficiency in Python, SQL, and data visualization tools like Tableau is required, along with experience in cloud data and ML platforms. Familiarity with MLOps practices is preferred.

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.

#LI-JH1 #LI-Remote

About us:

ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, enables sales, marketing, and customer success teams to execute their go-to-market strategy with confidence. Powered by the industry's most comprehensive B2B data, including more than 100 million companies, 500 million contacts, and billions of signals, ZoomInfo delivers the intelligence, automation, and integrations that modern revenue teams need to identify, engage, and convert their best buyers.

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.

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