Data Scientist Senior (NLP) - 100% Remote Available
Location: Von Ormy
Posted on: May 5, 2021
Purpose of Job
We are currently seeking a talented Data Scientist Senior (NLP or
Internet of Things) - 100% Remote Available for the San Antonio
Home Office I.
Uses advanced techniques that integrate traditional and
non-traditional datasets to enable analytical solutions; Applies
predictive analytics, machine learning, simulation, and
optimization techniques to generate management insights and enable
customer-facing applications; Builds analytical solutions
leveraging internal and external applications to deliver value and
create competitive advantage; Translates complex analytical and
technical concepts to non-technical employees.
USAA knows what it means to serve. We facilitate the financial
security of millions of U.S. military members and their families.
This singular mission requires a dedication to innovative thinking
at every level.
We embrace a robust veteran workforce and encourage veterans and
veteran spouses to apply.
USAA Careers - World Class Benefits (31 seconds)
* Partners with business leaders across the organization to define
business problems and research questions; Serves as key resource
and Subject Matter Expert (SME) on cross functional, matrixed teams
to solve highly complex work critical to the organization.
* Builds large and complex information sets; Integrates and
extracts relevant information from large amounts of both structured
and unstructured data (internal and external) to enable analytical
* Conducts advanced analytics leveraging predictive modeling,
machine learning, simulation, optimization and other techniques to
deliver insights or develop analytical solutions to achieve
* Serves as key resource and Subject Matter Expert (SME) on efforts
to develop scalable, efficient, automated solutions for large scale
data analyses, model development, model validation and model
* Works with IT to translate prototypes into new products,
services, and features.
* Builds and maintains a robust library of reusable algorithms and
supporting code such that research efforts are based on the highest
quality data, are transparently conducted, are able to be
productionized and are reproducible.
* Translates complex analytical and technical concepts to
non-technical employees to enable understanding and drive informed
* Maintains academic and industry relationships for the purposes of
research; Maintains expertise and awareness of cutting edge
techniques, technologies and potential business solutions.
* Master's degree in Computer Science, Applied Mathematics,
Quantitative Economics, Statistics, or related field.
* 6 additional years of related experience beyond the minimum
required may be substituted in lieu of a degree.
* 6 or more years in predictive modeling, large data analysis and
* Experience in stochastic modeling, machine learning, and other
advanced mathematical techniques (e.g., neural nets, simulation,
* Solid experience in at least one compiled language (e.g., Java, C
or more or more) and one dynamic scripting language (Python, PERL,
* Hands-on experience developing products that utilize advanced
machine learning techniques like deep learning in areas such as
computer vision, Natural Language Processing (NLP), sensor data
from the Internet of Things (IoT), and recommender systems; along
with transitioning those solutions from the development environment
into the production environment for full-time use.
* PhD in Computer Science, Applied Mathematics, Quantitative
Economics, Operations Research, Statistics, or related field with
coursework in advanced Machine Learning techniques (Natural
Language Processing, Deep Neural Networks, etc).
* Experience in reinforcement learning, knowledge graphs and graph
databases, Generative Adversarial Networks (GANs), semi-supervised
learning, multi-task learning is a plus.
USAA has an effective process for assessing market data and
establishing ranges to ensure we remain competitive. You are paid
within the salary range based on your experience and market
position. The salary range for this position is: $106,800 -
$192,300 *(this does not include geographical differential, it may
be applied based on your work location)
Employees may be eligible for pay incentives based on overall
corporate and individual performance or at the discretion of the
USAA Board of Directors.
* Geographical Differential: Geographic pay differential is
additional pay provided to eligible employees working in locations
where market pay levels are above the national average.
Shift premium will be addressed on an individual-basis for
applicable roles that are consistently scheduled for non-core
At USAA our employees enjoy best-in-class benefits to support their
physical, financial, and emotional wellness. These benefits include
comprehensive medical, dental and vision plans, 401(k), pension,
life insurance, parental benefits, adoption assistance, paid time
off program with paid holidays plus 16 paid volunteer hours, and
various wellness programs. Additionally, our career path planning
and continuing education assists employees with their professional
Please click on the link below for more details.
USAA Total Rewards
The above description reflects the details considered necessary to
describe the principal functions of the job and should not be
construed as a detailed description of all the work requirements
that may be performed in the job.
At USAA our employees enjoy one of the best benefits packages in
the business, including a flexible business casual or casual dress
environment, comprehensive medical, dental and vision plans, along
with wellness and wealth building programs. Additionally, our
career path planning and continuing education will assist you with
your professional goals.
USAA also offers a variety of on-site services and conveniences to
help you manage your work and personal life, including seven
cafeterias, two company stores and three fitness centers.
Relocation assistance is available for this position.
Keywords: USAA, San Antonio , Data Scientist Senior (NLP) - 100% Remote Available, Other , Von Ormy, Texas
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