Machine Learning Engineer, Mid
Company: Booz Allen Hamilton
Location: Chantilly
Posted on: May 25, 2023
Job Description:
Job Number: R0170232
Machine Learning Engineer, MidThe Opportunity:Are you excited at
the prospect of unlocking the secrets held by a data set? Are you
fascinated by the possibilities presented by the IoT, machine
learning, and artificial intelligence advances? In an increasingly
connected world, massive amounts of structured and unstructured
data open new opportunities. As a data scientist, you can turn
these complex data sets into useful information to solve global
challenges. Across private and public sectors from fraud detection
to cancer research, to national intelligence, you know the answers
are in the data.We have an opportunity for you to use your
leadership and analytical skills to support an intelligence
community (IC) agency's collection and analysis operations. You'll
work closely with your customer to understand their questions and
needs, then dig into their data-rich environment to find the pieces
of their information puzzle. You'll write scripts to integrate
data, conduct exploratory data analysis to discover hidden
patterns, apply machine learning to train predictive models, and
use the right combination of tools to turn disparate data points
into objective answers to help mission partners make informed
decisions. You'll provide your customer with a deep understanding
of their data, what it all means, and how they can use it. Join us
as we use data science for good in support of the IC's global
mission.Empower change with us.You Have:
- Experience using programming languages, including Python, to
manipulate and analyze data
- Experience with training natural language processing models
leveraging frameworks, including SpaCy, PyTorch, or TensorFlow
- TS/SCI clearance with a polygraph
- Bachelor's degreeNice If You Have:
- Experience developing web services or web applications using
Angular or JavaScript framework
- Experience with MLflow
- Knowledge of commercial Cloud services used by the IC
- Master's degree in Mathematics, Statistics, CS, or Data
AnalyticsClearance:Applicants selected will be subject to a
security investigation and may need to meet eligibility
requirements for access to classified information; TS/SCI clearance
with polygraph is required.Create Your Career:At Booz Allen, we
know the power of analytics and we're dedicated to helping you grow
as a data analysis professional. When you join Booz Allen, you'll
have the chance to:
- access online and onsite training in data analysis and
presentation methodologies, and tools like Hortonworks, Docker,
Tableau, and Splunk
- change the world with the Data Science Bowl-the world's premier
data science for social good competition
- participate in partnerships with data science leaders, like our
partnership with NVIDIA to deliver Deep Learning Institute (DLI)
training to the federal governmentYou'll have access to a wealth of
training resources through our Analytics University, an online
learning portal specifically geared towards data science and
analytics skills, where you can access more than 5000 functional
and technical courses, certifications, and books. Build your
technical skills through hands-on training on the latest tools and
state-of-the-art tech from our in-house experts. Pursuing
certifications that directly impact your role? You may be able to
take advantage of our tuition assistance, on-site bootcamps,
certification training, academic programs, vendor relationships,
and a network of professionals who can give you helpful tips. We'll
help you develop the career you want as you chart your own course
for success.CompensationAt Booz Allen, we celebrate your
contributions, provide you with opportunities and choices, and
support your total well-being. Our offerings include health, life,
disability, financial, and retirement benefits, as well as paid
leave, professional development, tuition assistance, work-life
programs, and dependent care. Our recognition awards program
acknowledges employees for exceptional performance and superior
demonstration of our values. Full-time and part-time employees
working at least 20 hours a week on a regular basis are eligible to
participate in Booz Allen's benefit programs. Individuals that do
not meet the threshold are only eligible for select offerings, not
inclusive of health benefits. We encourage you to learn more about
our total benefits by visiting the Resource page on our Careers
site and reviewing Our Employee Benefits page.Salary at Booz Allen
is determined by various factors, including but not limited to
location, the individual's particular combination of education,
knowledge, skills, competencies, and experience, as well as
contract-specific affordability and organizational requirements.
The projected compensation range for this position is $73,100.00 to
$166,000.00 (annualized USD). The estimate displayed represents the
typical salary range for this position and is just one component of
Booz Allen's total compensation package for employees.Work ModelOur
people-first culture prioritizes the benefits of flexibility and
collaboration, whether that happens in person or remotely.
- If this position is listed as remote or hybrid, you'll
periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, you'll work with
colleagues and clients in person, as needed for the specific
role.EEO CommitmentWe're an equal employment
opportunity/affirmative action employer that empowers our people to
fearlessly drive change - no matter their race, color, ethnicity,
religion, sex (including pregnancy, childbirth, lactation, or
related medical conditions), national origin, ancestry, age,
marital status, sexual orientation, gender identity and expression,
disability, veteran status, military or uniformed service member
status, genetic information, or any other status protected by
applicable federal, state, local, or international law.
Keywords: Booz Allen Hamilton, Chantilly , Machine Learning Engineer, Mid, Engineering , Chantilly, Virginia
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