Software Engineer II

Résumé du poste

You will own end-to-end research and development projects, translating complex business questions into well-defined data science problems. This involves designing predictive models, implementing production-ready data pipelines, and communicating actionable insights to cross-functional stakeholders.

Détails du poste

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) 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.

Ce que vous ferez

You will own end-to-end research and development projects, translating complex business questions into well-defined data science problems. This involves designing predictive models, implementing production-ready data pipelines, and communicating actionable insights to cross-functional stakeholders.

Exigences

The role requires a Master's degree in a STEM or quantitative field and at least 2 years of professional experience in building and deploying machine learning solutions. Proficiency in Python, SQL, and experience with cloud data platforms like Snowflake or Databricks are essential.

Compétences indiquées

• Visualisation de données · Souhaitée
• SQL · Souhaitée
• Tableau · Souhaitée
• Apprentissage automatique · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• SQL
• Machine Learning
• Data Science
• Predictive Modeling
• Statistical Analysis
• Data Engineering
• Snowflake
• Databricks
• Google Cloud Platform
• Tableau
• Regression
• Time Series
• Hypothesis Testing
• Data Visualization
• MLOps
• Go-to-Market Strategy
• Business Problems
• Pipelines
• Concept Drift Detection
• MLOps (Machine Learning Operations)
• CI/CD
• Constructive Feedback
• Business Objectives
• Snowflake (Data Warehouse)
• People Analytics
• Google Cloud Platform (GCP)
• Research
• Artificial Intelligence
• Auditing
• Automation
• Dashboard
• Decision Making
• Network Analysis
• Communication
• Computer Science
• Finance
• Sales
• Forecasting
• Marketing
• Statistical Hypothesis Testing
• Python (Programming Language)
• Key Performance Indicators (KPIs)
• Mathematics
• Operations
• Software Engineering
• SQL (Programming Language)
• Tableau (Business Intelligence Software)
• Timelines
• Tooling

Domaines d’emploi

• Data & Analytics
• Software
• Engineering
• Science & Research
• Technology
• Software Engineer
• Software Developer / Engineer
• Software Developers