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Quantico, VA | Full Time
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METROSTAR
Quantico, VA | Full Time
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U.S. Marine Corps
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Prescient Edge
Quantico, VA | Full Time
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Data Scientist 4867
METROSTAR Quantico, VA
$103k-126k (estimate)
Full Time | Building Construction 4 Months Ago
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METROSTAR is Hiring a Data Scientist 4867 Near Quantico, VA

As a Data Scientist, you'll integrate with cross-functional teams specializing in development, solutions, and business process analysis, informing the architecture and implementation of business processes, programs, plans, and guidance for DoD Business Systems, with the goal of making an impact across the federal government.

We know that you can't have great technology services without amazing people. At MetroStar, we are obsessed withour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you'll do:

  • Interact with a multi-disciplinary team of analysts, data scientists, developers, and users to problem solve, comprehend data requirements, and develop a robust machine learning pipeline that will ingest, analyze, enrich, and deliver data to support varying business needs and end-user applications.
  • Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products.
  • Develop specifications outlining design/implementation details for modeling processes; translate and integrate release data, development specifications, and requirements.

What you'll need to succeed:

  • An active government issued Secret security clearance or the ability to obtain
  • Bachelor's Degree plus 4 years of experience in data analytics, or master's degree plus 2 years of experience in data analytics, or PhD
  • 3 years of experience using Python for large scale data analysis
  • Experience with modeling and simulation techniques such as Monte Carlo, Markov decision chains, and Natural Language Processing.
  • Experience with linear programming use cases such as capacity planning and the traveling salesman problem.
  • Experience training & deploying Deep Learning models.
  • Experience with Pytorch and/or ONNX

Like we said, we are big fans of our people. That's why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.

Don't meet every single requirement?

Studies have shown that women, people of color and the LGBTQ community are less likely to apply to jobs unless they meet every single qualification. At MetroStar we are dedicated to building a diverse, inclusive, and authentic culture, so, if you're excited about this role, but your previous experience doesn't align perfectly with every qualification in the job description, we encourage you to go ahead and apply. We pride ourselves on making great matches, and you may be the perfect match for this role or another one we have. Best of luck! – The MetroStar People & Culture Team

What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

MetroStar Systems is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems.

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Job Summary

JOB TYPE

Full Time

INDUSTRY

Building Construction

SALARY

$103k-126k (estimate)

POST DATE

01/07/2024

EXPIRATION DATE

05/29/2024

WEBSITE

metrostar.com

HEADQUARTERS

GLENDALE, NY

SIZE

25 - 50

FOUNDED

1972

TYPE

Private

CEO

BARRY SWIDLER

REVENUE

$5M - $10M

INDUSTRY

Building Construction

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METROSTAR
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$97k-124k (estimate)
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METROSTAR
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METROSTAR
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The job skills required for Data Scientist 4867 include Machine Learning, Python, Data Analysis, Futures, Data Analytics, Deep Learning, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist 4867. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist 4867. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Scientist 4867 positions, which can be used as a reference in future career path planning. As a Data Scientist 4867, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist 4867. You can explore the career advancement for a Data Scientist 4867 below and select your interested title to get hiring information.

If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Scientist job description and responsibilities

Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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A data scientist develops software to structure the raw data.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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