Posted:1 week ago|
Platform:
On-site
Full Time
Are you passionate about making a positive impact on road safety? Do you thrive in a collaborative team environment built on mutual respect and integrity? Are you an experienced Statistician/Mathematician with a passion for saving lives across the country? If so, we have an exciting opportunity for you to join our team at SaveLIFE Foundation.
SaveLIFE Foundation (SLF) is an award-winning, independent non-profit organization committed to saving lives on roads across India and the Global South. By combining grassroots action with systems reform, SLF has been at the forefront of introducing landmark road safety innovations—such as India’s Good Samaritan Law and the Zero-Fatality Corridor (ZFC) model. Our work has helped reduce road crash deaths by up to 67% on some of India’s most dangerous highways and has been recognized by institutions such as the Skoll Foundation, World Bank, and Government of India.
At SLF, we believe that road crashes are not accidents—they are preventable tragedies. We are on a mission to prove that loss of life on roads is not a price we must pay for mobility.
Join us to help scale this mission.
The position requires expertise in translating intricate data patterns into actionable solutions, contributing directly to our mission of creating safer transportation ecosystems through data-driven decision-making.
Collaborate with field/Various teams to design and implement data collection strategies (surveys, traffic monitoring, accident reporting).
Produce clear, concise reports summarizing key findings from data analysis, with actionable insights.
Develop dashboards or data visualizations to communicate trends and patterns in road traffic accidents and safety-related data.
Analyze raw traffic data, accident reports, and other related datasets to identify trends, patterns, and key risk factors.
Develop mathematical and statistical models to understand traffic behavior, accident risks, and optimal road safety measures.
Use optimization techniques to recommend cost-effective safety solutions.
Apply statistical tools (e.g., regression analysis, hypothesis testing, time series analysis) to derive actionable insights from traffic safety data.
Generate evaluation reports on the effectiveness of road safety programs, comparing pre- and post-intervention accident data.
Assess the long-term impact of safety measures through statistical analysis.
Conduct rigorous analysis of the impact of road safety interventions, such as public awareness campaigns or traffic flow changes, using pre- and post-intervention data.
Provide insights on the effectiveness of road safety programs and suggest adjustments or new strategies.
Stay updated on the latest research, techniques, and tools in statistical analysis, mathematical modeling, and road safety.
Participate in relevant workshops, training, or conferences to enhance professional skills and contribute innovative solutions to the team.
SaveLIFE Foundation (SLF)
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Delhi, India
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Delhi, India
Salary: Not disclosed