2020-07-24
SAIC (www.saic.com)
Other
/yr
full-time
employee
Huntsville
Alabama
35824
United States
Description
SAIC will be working with AMCOM to develop predictive and
descriptive models and dashboards to support decisions in supply chain
management, such as demand forecasting and inventory planning. The goal is to
leverage AMCOM’s data to derive insights that can improve their efficiency in
supplying parts to their customers. The project will start with a focus on the
supply chain for Apache Helicopter parts, formulating and proving the
methodology to later expand to other systems.
The core components to be developed for the project include:
predictive models, dashboards for visualizing results and other data analysis,
and back-end software and hosting to support the data pipeline.
Position Description:
The Data Scientist will be a major player in driving the
success of this program, which will have great strategic impact for SAIC. He or
she will have substantial interaction with the lead data scientist and customer,
working with AMCOM, under supervision of the lead data scientist, to determine
how best to approach their problems with data science and AI, and consistently
communicating technical progress and results. He/She will significantly
contribute to the technical effort with the SAIC team, developing predictive
models and analysis and collaborating with other data scientists to create
visualizations and reports.
·
Contributing to the team throughout development
of the technical solution, from planning to execution.
·
Consults and collaborates with the lead data
scientist and customer to ensure that analysis and models address the right
questions, shaping the technical vision to satisfy customer needs.
·
Develops, tests, and refines predictive models
with supply chain data (Ex: demand forecasting, inventory planning).
·
Explores and assesses datasets and determines what
models, algorithms, and analyses will be most impactful for the customer’s
mission, and collaborates with other data scientists to develop them.
·
Works with the other data scientists/analysts to
develop visualizations, dashboards, and analytic reporting.
Qualifications
· Ability to develop and implement data science
solutions from start to finish, through planning and execution.
·
Extensive experience developing data science
algorithms and advanced models, including supervised and unsupervised machine
learning, time series forecasting, and statistical analysis.
·
Experience creating meaningful visualizations
for analytic results.
·
Ability to communicate effectively with both
customers and internal team members, including people with varying levels of
data science knowledge.
·
Experience with common data science tools for
algorithm development and visualization: Python, R, SQL, Tableau/PowerBI
