Software Engineer

ZoomInfo; Toronto; Hybrid; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Base pay

Bonus program

Equity RSUs

Flexible PTO

Hybrid model

Job summary

ZoomInfo in Toronto is seeking a Software Engineer II to leverage data science tools and collaborate across product, sales, and marketing to solve business problems with scalable data-driven solutions.

You will own end-to-end research projects, translate questions into KPIs, build production pipelines in Snowflake/Databricks, and contribute to model development and interpretation while communicating findings to technical and non-technical stakeholders.

Qualifications

• 2+ years of professional experience building and deploying data science or machine learning solutions, including at least one production deployment.
• Proficiency in Python and SQL; experience with data visualization tools such as Tableau.
• Demonstrated ability to translate business questions into research problems and communicate findings to technical and non-technical audiences.
• Familiarity with MLOps practices – model versioning, monitoring, drift detection, CI/CD for ML.
• Exposure to Sales, Marketing, Finance, or HR analytics domains.

Responsibilities

• Draw insights from large data sets and define and implement KPIs, delivering actionable recommendations.
• Own research and development projects end-to-end, from problem definition to deployment and monitoring.
• Design and implement production-ready pipelines on cloud data platforms.
• Communicate insights and trends to support business decision-making across multiple units.
• Collaborate with cross-functional partners to inform prioritization and scoping of initiatives.

Skills

Python

SQL

Tableau

Education

Master's degree in STEM

Doctoral degree in STEM

Tools

Snowflake

Databricks

Google Cloud Platform

Job description

• 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
• 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

Benefits

• Benefits for the Best You - We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being
• Base Pay - We attract and retain the best talent with competitive compensation that aligns with industry benchmarks and merit programs yearly for promotions and salary increases based on performance, time in role, and position to market
• Bonus - When you crush it, we like to celebrate! Bonuses are awarded annually in connection with company and individual performance
• Equity - We offer each employee a generous equity award in the form of RSUs, so they can directly feel the results and success of their hard work
• Vacation & Time Off - We know everyone’s needs are different so we offer flexible paid time off plans including an unlimited vacation option for many employees
• Hybrid Working Model - We offer flexible hybrid remote working models to promote equity, employee wellness, and work life balance

• Experience working with cloud data and ML platforms such as Snowflake, Databricks, or Google Cloud Platform
• 2+ years of professional experience building and deploying data science or machine learning solutions, including at least one production deployment
• Proficiency in Python and SQL, and experience with data visualization tools such as Tableau
• Master's degree in a STEM or quantitative field (computer science, mathematics, engineering, or related)
• Demonstrated experience translating business questions into research problems and communicating findings to technical and non-technical audiences
• Doctoral degree in a STEM or quantitative field (computer science, mathematics, engineering, or related)
• Experience presenting analyses to senior technical and non-technical audiences
• Familiarity with MLOps practices - model versioning, monitoring, drift detection, CI/CD for ML
• Exposure to Sales, Marketing, Finance, or HR analytics domains