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About the Role

As a Data Scientist III, 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, helping 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 communicating insights and trends to support business decision-making.

Responsibilities

Own data science projects end-to-end within your assigned business area, scoping ambiguous problems and defining success metrics through model development, deployment, and ongoing monitoring.
Translate business questions from Sales, Marketing, Finance, HR, and related functions into well-defined data science 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 for the problem at hand.
Optimize models for performance, interpretability, and generalization using techniques such as regularization, cross-validation, and ensemble methods.
Define model evaluation plans that cover accuracy, fairness, drift, and business impact, and interpret results in context for stakeholders.
Design and implement production-ready data and model pipelines that handle large-scale datasets, leveraging distributed processing systems and building reusable, modular components.
Write readable, well-structured, modular code using standard data science libraries, ensuring work is tested, documented, and maintainable.
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.

Requirements

Master's degree in a STEM or quantitative field (statistics, computer science, mathematics, economics, engineering, or related).
3+ 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 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 (statistics, computer science, mathematics, economics, engineering, or related).
Familiarity with MLOps practices — model versioning, monitoring, drift detection, 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.

Skills

Python
SQL
Tableau
Snowflake
Databricks
Google Cloud Platform
Regression
Time series
Survival/attrition analysis
Hypothesis testing
Graph and network analysis
Regularization
Cross-validation
Ensemble methods
MLOps
Model versioning
Model monitoring
Drift detection
CI/CD for ML

Location

Remote

Work Type

Remote
Full-time

Experience Level

3+ years of professional experience

Education Level

Master's degree
Doctoral degree

About the Company

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.

Equal Opportunity

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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.