
Transportation company.
Principal, Operations Research Analytics - Hybrid
必备技能
Python
Java
SQL
Machine Learning
What you’ll need to succeed as Principal, Operations Research Analytics at XPO
Minimum qualifications:
-
Master’s degree in Operations Research, Data Science, Statistics, Applied Mathematics, Engineering, Computer Science or related field;
-
5 years in quantitative pricing/financial analysis
-
Proficiency in an object-oriented language like Java, C++, C# or similar; together with exposure to SQL
-
Demonstrated ability to create analytics frameworks in statistical packages like Python, R, or similar
-
A deep understanding of machine learning techniques and experience applying them to solve business problems
-
Experience with reinforcement learning for pricing optimization, decision-making, and consumer behavior modeling
-
Demonstrated ability to frame complex problems, select appropriate research/analytical methods, implement solutions, and present findings effectively
-
Ability to effectively operate both independently and as part of a team
Preferred qualifications:
-
PHD in Operations Research, Data Science, Statistics, Applied Mathematics, Engineering, Computer Science
-
10+ years hands-on experience in developing and deploying optimization solutions in pricing or finance
About the Principal, Operations Research Analytics job:
Pay, benefits and more:
-
Competitive compensation package
-
Full health insurance benefits available on day one
-
Life and disability insurance
-
Earn up to 15 days of PTO over your first year
-
9 paid company holidays
-
401(k) option with company match
-
Education assistance
-
Opportunity to participate in a company incentive plan
What you’ll do on a typical day:
-
Develop pricing optimization solutions to drive optimal portfolio management of customers, lanes, and freight mix.
-
Be responsible for improving XPO’s understanding of price elasticity and marginal cost, then translating analytics into insights for use in XPO’s pricing strategy.
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Analyze customer willingness to pay, marginal cost, capacity, and competitor comparisons. Construct microeconomic models to define optimal price and business mix.
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Collaboration with Pricing Leadership, Sales, Operations, PMO, IT, and others on key strategic initiatives
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Assist the technology team in construction of production data workflows to integrate models with business processes.
About XPO
XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you’re looking for a growth opportunity, join us at XPO.
We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification.
Review XPO's candidate privacy statement here.
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关于XPO Logistics

XPO Logistics
PublicXPO, Inc., formerly XPO Logistics, is an American transportation company that conducts less-than-truckload shipping, or less than load (LTL), in North America. The company has headquarters in Greenwich, Connecticut, and has 592 locations globally.
10,001+
员工数
Greenwich
总部位置
$3.2B
企业估值
评价
10条评价
3.7
10条评价
工作生活平衡
3.2
薪酬
4.0
企业文化
4.1
职业发展
3.0
管理层
2.5
65%
推荐率
优点
Good team and coworkers
Competitive salary and benefits
Training programs and support
缺点
Long hours and overtime
High-pressure environment
Limited career advancement
薪资范围
39个数据点
Junior/L3
Mid/L4
Senior/L5
Intern
Junior/L3 · ANALYST, BUSINESS INTELLIGENCE
1份报告
$98,858
年薪总额
基本工资
$76,045
股票
-
奖金
-
$98,858
$98,858
面试评价
46条评价
难度
3.2
/ 5
时长
14-28周
录用率
37%
体验
正面 69%
中性 15%
负面 16%
面试流程
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
常见问题
Technical skills
Past experience
Team collaboration
Problem solving
最新动态
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