Operations Research Analyst

Operations Research Analyst

Primary responsibilities for the position:

(A) Collect various information and data from multiple data systems identify problems and employ advanced analytics and statistics to help the company make informed decisions to solve these problems.

(Use professional knowledge/skills to collect and analyze data from various sources to identify problems encountered seek high-valued opportunities and develop a data-driven plan to solve identified problems. This typically takes the form of employing data mining techniques to collect pertinent information to paint the optimal decision to drive various business metrics (ex: revenue user acquisition etc.). This include the following: a) Regression modeling (linear logistic and multivariate regression) to evaluate drivers of ridership revenue and vehicle utilization b) Time-series forecasting models (ARIMA SARIMA Prophet) to predict demand and fleet usage patterns c) Hypothesis testing and statistical inference (t-tests chi-square tests ANOVA) to validate operational changes d) Optimization modeling (linear programming mixed-integer programming) to determine optimal allocation of fleet resources e) Clustering and segmentation methods (k-means hierarchical clustering) to identify rider patterns and geographic demand clusters. f) Geospatial analytics including spatial joins heatmaps and demand surface modeling.)

(B) Design and develop decision tools used in real time by the operations business unit to maximize key metrics such as vehicle uptime (availability).  

(Use highly technical skills comprising software engineering (Python SQL JavaScript and HTML) and mathematics to develop dashboards and applications that can be used by Operations Managers to make the right decisions in their respective markets that yield positive customer experiences and business outcomes. One common data source that will be utilized in conducting advanced analytics is geospatial data which will be used in building dashboards (custom Tableau and Google Data Studio) to view the concentration of scooters rider hot spots and infer customer demand.)

(C) Collaborate with management as well as market leaders to understand all aspects of Veo's business and support their efficiency initiatives.

(Collaborate with company leadership to derive metrics that drive our business in an optimal direction interface with various departments of the company and market leaders gather relevant information and data and make recommendations to the management as how to allocate resources develop production schedules and oversee the supply chain among other Operations aspects.)

(D) Provide findings and analysis technical support when required by leadership. Write reports and other documents explaining the findings and recommendations for managers executives and other officials of the company.

(Use quantitative findings into interpretable reports or data products (ex: interactive dashboards visualizations) and inform the leadership the intended interpretation of said findings provide recommendations for the leadership.)

Minimum Requirement:

• Master of Science degree in Analytics
• 1 year past experience.

Contact:

Apply on line or via email: [email protected] or mail to: Attn: Human Resources VeoRide Inc.  3221 Donald Douglas Loop S Santa Monica CA 90405

What We Do

Veo is on a mission to end car dependency by making clean transportation accessible to all. We have provided millions of shared bike and scooter rides in 40+ cities and universities across North America and counting. Veo operates from a set of values that distinguish us in the industry. We are grounded in financial responsibility: Veo partnered with select cities to achieve profitability before scaling. Our in-house design and manufacturing process enables us to constantly innovate and provide cities with the next generation of shared electric bikes and scooters. We develop collaborative long-term partnerships with cities and universities so we can work together toward a sustainable safe and equitable transportation future. Learn more: https://www.veoride.com/ Support: +1 855 VEO-2256 | [email protected]