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About the Role

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.

Responsibilities

Own research and development projects end-to-end, including scoping ambiguous problems, defining success metrics, 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 using appropriate methods (e.g., regression, time series, survival/attrition, hypothesis testing, graph and network analysis).
Design and implement production-ready pipelines for large-scale datasets using distributed processing systems (e.g., Snowflake, Databricks, Google Cloud Platform) and building reusable, modular components.
Write readable, well-structured, modular code using standard libraries, ensuring work is tested, documented, and maintainable.
Participate in code and design reviews, providing and receiving constructive feedback.
Contribute to shared practices, tooling, and documentation to improve the data science function.
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 (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.
Experience with data visualization tools such as Tableau.
Experience working with cloud data and ML platforms such as Snowflake, Databricks, or Google Cloud Platform.

Skills

Python
SQL
Tableau
Snowflake
Databricks
Google Cloud Platform
Regression
Time series analysis
Survival/attrition analysis
Hypothesis testing
Graph analysis
Network analysis
MLOps practices
Model versioning
Model monitoring
Drift detection
CI/CD for ML

Location

Remote

Work Type

Full-time

Experience Level

2+ years of professional experience
Senior

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

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.