Principal Scientist, Data Science - Hybrid
Company: XPO
Location: Boston
Posted on: March 12, 2025
Job Description:
What you'll need to succeed as a Principal Scientist, Data Science
at XPO:Minimum Qualifications:
- Bachelor's degree or equivalent related work or military
experience
- 5 years of hands-on experience in developing and deploying
optimization solutions
- Experience in pricing optimization, demand forecasting,
utilizing statistical modeling, machine learning, and reinforcement
learning techniques.
- Strong experience with SQL, Python and Java
- Experience using statistical modeling to solve business
problems
- A deep understanding of machine learning techniques and
experience applying them to solve business problems.
- Track record in leading cross-functional initiatives that span
across the organization.
- Ability to translate complex data sets and research into simple
business recommendations.Preferred qualifications:
- Master's degree or PhD in Data Science, Statistics, Applied
Mathematics, Engineering, Computer Science or related field Strong
leadership and communication skills
- 7+ years of hands-on experience in developing and deploying
optimization solutions
- Experience in pricing optimization, demand forecasting,
utilizing statistical modeling, machine learning, and reinforcement
learning techniques.
- Experience with causal inference and measurement methods for
analyzing the impact of pricing algorithms on revenue
- Experience with reinforcement learning for pricing
optimization, decision-making, and consumer behavior modeling
- Ability to effectively operate both independently and as part
of a team
- Significant peer-reviewed scientific contributions in premier
journals and conferences
- Superior verbal and written communication and presentation
skills, ability to convey rigorous mathematical concepts and
considerations to non-experts About the Principal Scientist, Data
Science 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:
- Leverage Machine Learning, AI, statistical and/or optimization
methods to solve various problems in Pricing, Sales, and Finance in
order to optimize revenue for the company
- Work with a team of data scientists and engineers to design,
test and implement models into in-house software solutions
- You will be a thought leader for the practice of Data Science
and Analytics across the organization
- Explore and research cutting-edge Artificial Intelligence
techniques and statistical methods, to identify opportunities to
drive process improvements through analytics and automation
- Conduct and present ad-hoc analyses to senior leaders within
the business and technology organizations
- Communicate with technical and business-oriented
audiences#LI-Hybrid About XPOXPO 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/Affirmative
Action 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.
Keywords: XPO, Boston , Principal Scientist, Data Science - Hybrid, Professions , Boston, Massachusetts
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