Research Data Scientist

at  RTI International

Overview:
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.

Responsibilities:

• 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.

Qualifications:

• 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.

EEO & Pay Equity Statements:
For San Francisco, CA USA Job Postings Only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Further information is available here.
The anticipated pay range for this role is listed below. Our pay ranges represent national averages and may vary by location as a geographic differential may be applied to some locations within the United States.
RTI considers multiple factors when making an offer including, for example: established salary range, internal budget, business needs, and education and years of work experience possessed by the applicant. Further, salary is merely one element to our offer.
At RTI, we demonstrate our commitment to rewarding individual and team achievement through a total rewards package. This package includes (among other things) a competitive base salary, a generous paid time off policy, merit based annual increases, bonus opportunities and a robust recognition program. Other benefits include a competitive range of insurance plans (including health, dental, life, and short-term and long-term disability), access to a retirement savings program such as a 401(k) plan, paid parental leave for all parents, financial assistance with adoption expenses or infertility treatments, financial reimbursement for education and developmental opportunities, an employee assistance program, and numerous other offerings to support a healthy work-life balance.
Hiring Salary Range: 140,000-173,00

• 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