Data Scientist II

As a Data Scientist II, you will leverage theory, data, and research to solve business problems across Sales, Marketing, Finance, HR, and related functions. You will support data science and analytics efforts, build and improve measurement and reporting processes, and enable teams to 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 communicating insights and trends to support business decision-making in data science-enabled contexts. You will work closely with business stakeholders on measurement, success metrics, and analytics, and will implement data science models while staying aware of industry trends, business objectives, and workforce dynamics.

• Contribute to data science projects supporting Sales, Marketing, Finance, HR, and related functions, collaborating with other team members.
• Translate business operations requirements into data science tasks and KPIs, and identify opportunities where data science can support team objectives.
• Synthesize and present data through written reports, tables, graphs, dashboards, and charts to convey findings to stakeholders.
• Perform data preprocessing, feature engineering, and model selection for routine problems, working independently on well-defined or ambiguous tasks.
• Design and implement AI models and pipelines, analyzing model performance using standard evaluation metrics.
• Use distributed processing systems such as Snowflake, Databricks, and Google Cloud Platform to handle large, complex datasets.
• Proactively identify and resolve issues in pipeline development and deployment.
• Write maintainable, modular code following established software development practices and style guides.
• Use common data science libraries to implement solutions efficiently.
• Participate in code reviews and create initial technical documentation to validate code meets requirements and standards.

• Master's degree in a STEM or quantitative field (statistics, computer science, mathematics, economics, engineering, or related).
• Minimum of 2 years of professional experience building and deploying data science or machine learning solutions, with at least one production deployment.
• Demonstrated experience translating business questions into data science 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.
• Working knowledge of applied statistical methods and machine learning techniques (e.g., regression, classification, time series, cross‑validation, model evaluation).

• Doctoral degree in a STEM or quantitative field.
• Familiarity with MLOps practices—including model versioning, monitoring, drift detection, and CI/CD for ML.
• Experience designing and maintaining dashboards for operational or executive audiences.
• Experience presenting analyses to senior technical and non‑technical audiences.
• Exposure to Sales, Marketing, Finance, or HR analytics domains.

Zoom Info 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.