RTI International is an independent, nonprofit research institute dedicated to improving the human condition. Our vision is to address the world's most critical problems with science-based solutions in pursuit of a better future. Our staff of nearly 6,000 people in more than 80 countries work to address complex social and scientific challenges on behalf of governments, businesses, foundations, universities, and other clients and partners each year. Our research addresses current and emerging challenges of societal impact.

As a Senior HR Analytics Data Scientist, you'll be pivotal in leveraging advanced analytics techniques to extract actionable insights from HR data, driving strategic decision-making to optimize talent management strategies. Working closely with cross-functional teams, you'll lead the development of predictive models, conduct thorough data analysis, and spearhead initiatives to enhance employee engagement, retention, and performance.

- Utilize advanced statistical and machine learning techniques to analyze HR data, uncovering trends, patterns, and correlations to inform strategic decision-making.

- Develop predictive models to forecast workforce trends, anticipate attrition risks, and identify emerging talent needs.

- Partner with HR senior leaders to define key metrics and KPIs, establishing benchmarks for measuring HR performance and effectiveness.

- Interpret complex datasets and communicate insights effectively through compelling visualizations, reports, and presentations.

- Demonstrate business acumen by understanding organizational goals and translating HR data insights into actionable recommendations for driving business success.

- Exhibit strong project management skills by effectively managing projects from conception to implementation, including defining project scope, timelines, and resource allocation.

- Mentor and coach junior team members.

- Stay informed about industry developments, continually evaluating and adopting cutting-edge HR analytics technology and methodologies.

- Bachelor's Degree and 8 years of experience, Master's degree and 6 years of experience, or PhD and 1 year of experience. A degree in Statistics, Data Science, Computer Science, or a related field is preferred. Human Resources experience strongly preferred.

- Proficiency in statistical analysis, machine learning, and predictive modeling techniques.

- Strong programming skills in Python, R, or SQL, with experience in data visualization tools such as Power BI, Tableau, or QlikView.

- Preference for candidates with Qualtrics experience or API proficiency.

- Exceptional analytical abilities with attention to detail.

- Excellent communication and interpersonal skills, capable of effectively conveying complex technical concepts to non-technical stakeholders.

- Proven track record of delivering actionable insights and driving measurable business impact through data-driven decision-making.

- Skill in ensuring data confidentiality, integrity, and adherence to data governance policies.

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