Senior Scientist, Data Science - Boston, MA
Company: XPO Logistics
Location: Quincy
Posted on: May 14, 2022
Job Description:
Solutions driven success.
XPO is a top ten global provider of transportation services, with a
highly integrated network of people, technology and physical
assets. At XPO Logistics, 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.
As the Senior Data Scientist, you'll be responsible for developing
analytical experiments and regularly evaluating alternate models to
support strategic initiatives and ongoing business processes.
You'll work with leads, analysts and data producers/consumers to
understand requirements, develop technical solutions and ensure the
reliability and performance of the data solutions. As part of our
growing, dynamic team, you'll have the support to excel at work and
the resources to build a career you can be proud of.
Pay, benefits and more.We are eager to attract the best, so we
offer competitive compensation and a generous benefits package,
including full health insurance (medical, dental and vision),
401(k), life insurance, disability and the opportunity to
participate in a company incentive plan.
What you'll do on a typical day:
- Conceive and develop end-to-end solutions focused on data
science and engineering, using machine learning and deep learning
algorithms, statistical concepts, data modeling, software
development, cloud computing and visualizations
- Resolve technical issues in existing processes and current
development work; solicit assistance from other roles and groups,
and drive resolution to ensure the integrity of platform quality
and project timelines
- Understand and improve shared standard patterns, templates and
artifacts for data science platform architecture, data science
development approaches, data models, new technology adoption and
rollout
- Collaborate with IT and business teams to identify and document
use cases, performance and capability requirements, and criteria
for successful solution delivery
- Mentor other team members on technical skills, methodologies,
problem solving approaches and standard patterns used at XPO
- Generalize and share technical approaches among other
developers, and simplify and communicate completed work to broader
audiences across the companyWhat you need to succeed at XPO:At a
minimum, you'll need:
- Bachelor's degree or equivalent related work or military
experience
- 2 years of experience in delivering solutions in at least two
of the following: data science, data analysis, geospatial, finance,
econometrics, cloud computing, big data and database
management
- Hands-on experience with the core concepts of pricing, revenue
management and supply chain management
- Experience with statistical modeling, data analytics and
visualization using R and Python (Numpy, Pandas, Scipy, Plotly and
Matplotlib)
- Significant experience applying one or more analytical methods:
regression (preferably mixed models), data classification and
reduction (cluster, factor, principle components, decision trees),
Bayesian inference or other advanced machine learning
techniques
- Deep understanding of statistical modeling, machine learning,
deep learning or data mining concepts, and a track record of
solving problems with these methods
- Technical database knowledge (Oracle, NoSQL, data modeling) and
experience optimizing SQL queries on large data
- Ability to write SQL fluently, recognize and correct
inefficient or error-prone SQL, and perform test-driven validation
of SQL queries and their resultsIt'd be great if you also have:
- Master's degree in Computer Science, MIS, Engineering, Business
or a related field; or recent college graduates with hands-on,
moderately complex internship projects of greater than 6
months
- Data science specialization from Coursera, Udacity, Data Camp,
etc.
- Hands-on experience with CPLEX
- 5 years of hands-on experience in delivering solutions in at
least two of the following: data science, data analysis,
geospatial, finance, econometrics, cloud computing, big data and
database management
- Ability to quickly learn and achieve proficiency in new
software applicationsBe part of something big.
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 Logistics, Quincy , Senior Scientist, Data Science - Boston, MA, Accounting, Auditing , Quincy, Massachusetts
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