Data Scientist in Human Resources - Qwalifize LLC

Type:

• Contract To Hire or Direct Hire

Full Time or Part Time:

• Full Time

Pay Rate:

• TBD

Location:

• Austin, TX 78701

Language Requirements:

• Write, read, and speak English fluently.

Language Preferences:

• N/A

Job Overview:

A successful Data Scientist in Human Resources candidate should thrive whether working autonomously and in a team environment. In this role one will develop predictive models to identify trends and patterns, forecast outcomes, and inform HR decisions. Design and implement experiments to test the effectiveness of HR initiatives and programs. Create data visualizations and dashboards to communicate insights and recommendations to HR and business leaders. Collaborate with HR business partners, analysts, and other stakeholders to identify opportunities for data-driven improvements in HR processes and programs. Stay up to date on the latest developments in data science, HR analytics, and technology, and leverage this knowledge to drive innovation and continuous improvement in HR. Ensure data quality, accuracy, and completeness in all analyses and reports. Work with IT and other stakeholders to ensure the security, privacy, and compliance of HR data and analytics. Perform other duties as assigned.

Experience Requirements:

• A minimum of 3 yrs of experience in data analysis, modeling, and visualization.
• Strong analytical and problem-solving skills and the ability to translate business questions into data-driven solutions.
• Proficiency in statistical analysis and modeling techniques, such as regression analysis, machine learning, and data mining.
• Expertise in data visualization and reporting tools, such as Tableau or Power BI to create interactive and insightful dashboards.
• Strong programming skills in languages such as Python, R, or SQL for data manipulation, analysis and modeling.
• Excellent communication skills, with the ability to communicate complex data insights clearly and persuasively to non-technical audiences.
• Detail oriented and the ability to work independently and collaboratively, and to manage multiple projects and priorities simultaneously.
• Knowledge of HR analytics, policies, procedures, and practices, and their impact on business outcomes.
• Familiarity with HR systems and technologies, such as HRIS and ATS.
• Experience with machine learning algorithms, predictive modeling, and statistical analysis.

Experience Preferences:

• N/A

Education Requirements:

• Bachelor's in data science, statistics, computer science, HR Analytics or a related field.

Education Preferences:

• Master's degree in data science, statistics, computer science, HR Analytics or a related field.

Training Schedule:

• TBD

Schedule:

• 8 am - 5 pm, Monday - Friday

Dress Code:

• Business Casual

Benefits:

• Yes

Additional Information:

Drug and background checks are performed. Valid identification and reliable transportation required. We are an E-Verify employer. We will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization. Our employees are authorized to work in the United States. Candidates shall supply their own transportation.