Associate Data Scientist, HR
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Job Description
Hiring Manager: Loren Kien
Talent Acquisition Advisor: Staci Coddington
Job Code Level: IQP1
Refer Your Friends!
AI-First. Future-Driven. Human-Centered.
At OpenText, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We are hiring talent AI can't replace to help us shape the future of information management. Join us.
OpenText is seeking an analytical and curious HR Data Scientist. This entry-level role is ideal for someone who is passionate about using data to improve hiring, enhance employee experiences, and support strategic workforce planning. You’ll work with Talent Acquisition, HR Operations, and People Analytics teams to uncover insights, build dashboards, and help drive data-informed decision-making across the company.
What You Will Do
· Analyze recruiting, talent, and workforce data to identify trends, correlations, and opportunities for improvement.
· Build dashboards, reports, and visualizations to support leaders across HR and Talent Acquisition.
· Partner with HR stakeholders to define metrics, KPIs, and reporting needs.
· Support predictive modeling efforts related to candidate pipelines, hiring demand, time-to-fill, and other talent metrics.
· Clean, transform, and validate data to ensure accuracy and quality across HR systems.
· Assist in the development of automated reporting, self-service tools, and scalable analytics processes.
· Conduct exploratory analysis to uncover insights that enhance hiring strategies and optimize candidate experiences.
· Collaborate with cross-functional teams to support quarterly business reviews and strategic planning initiatives.
What You Bring
· Bachelor’s degree in Data Science, Computer Science, Business Analytics, Statistics, HR Analytics, or a related field.
· Strong analytical skills with experience using tools such as Python, R, SQL, Excel, and/or Power BI.
· Familiarity with data visualization best practices.
· Ability to translate data into clear, actionable insights for non-technical audiences.
· High attention to detail, strong problem-solving skills, and a learning mindset.
· Interest in HR, recruiting, workforce trends, and people analytics.
· Excellent communication and collaboration skills.
Nice to Have
· Coursework or internship experience in HR analytics, data modeling, or predictive analytics.
· Experience with Workday, ATS systems, or HRIS platforms.
· Exposure to statistical methods such as regression, clustering, forecasting, or classification.
OpenText's commitment to diversity and inclusion surpasses legal requirements, evident in our Equal Employment Opportunity Statement of Policy which promotes a respectful and empowering environment for employees of all backgrounds, culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.
If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please submit a ticket at Ask HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.
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