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Data Scientist
$120k-148k (estimate)
Full Time 2 Months Ago
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Praxis Engineering is Hiring a Data Scientist Near Mc Lean, VA

Data Scientist

As an Expert Data Scientist, you will be part of a mission critical team working with established programmatic and quantitative methods to find patterns and relationships in large data sets; conducting mathematical, statistical or other data-driven problem-solving analysis to identify business operations or intelligence questions by internal and external customers. They are expected to work independently with minimal supervision by first line supervisor or government client.

What you will be doing:

Independently compile data to address the most complex intelligence issues or problems for senior internal/external customers with minimal supervision, provide accurate, timely, complex and sophisticated data analysis in support of key Agency, US national security, and foreign policy objectives and to shape Intelligence Community (IC) analysis priorities.With minimal supervision, conceive, prepare, and communicate a wide range of strategic, highly complex graphics, computational models/tools, or written/oral assessments to internal and external customers (e.g., policymakers, IC components). Manage projects and associated resources.

What you need:

  • 8 years of experience
  • Bachelor's degree in quantitative or technical field of study (e.g., statistics, mathematics, computer science, physical science, quantitative social sciences).
  • Demonstrated experience generating ideas for revolutionary technologies supporting operations in the hard target mission space.
  • Demonstrated experience with entrepreneurial leadership in developing, pitching, selling and deploying new technologies to solve operational problems
  • Demonstrated experience in Python development with expertise in Python data analytics packages such as pandas, numpy, scipy, genism, and scikit-learn.
  • Demonstrated experience with AI/ML technologies and packages, such as TensorFlow, PyTorch, and scikit-learn.
  • Demonstrated experience with ML model development on text data, including NLP, and structured datasets.
  • Demonstrated experience with data visualization technologies and packages, such as Kibana, Bokeh, Leaflt/Folium and Tableau.
  • Demonstrated experience handling restricted data sets, both at the individual and system level.
  • Demonstrated experience working with data spread across multiple enclaves.
  • Demonstrated experience documenting and editing the results of technical analysis for publication to non-technical audiences.
  • Demonstrated experience solving tough problems by developing repeatable methodologies.

Clearance:Active TS/SCI with an appropriatepolygraphis required to be considered for this role

Who are we?Praxis Engineering* was founded in 2002 and is headquartered in Annapolis Junction MD - with growing offices in Chantilly VA and Aberdeen MD.

Praxis Engineering is a consulting, product, and solutions firm dedicated to the practical application of software and system engineering technologies to solve complex problems.With over 300 employees supporting more than 50 contracts, Praxis brings together world class engineers with proven engineering best practices, domain expertise, commercial technologies and proven agile management approachesto create high value solutions aimed at helping our customers meet their most critical business and mission objectives.

*Praxis Engineering is a wholly owned subsidiary ofGeneral Dynamics IT.Why Praxis?We are focused on continual learning and evolution. We don’t do things because “that’s the way we’ve always done things”; we listen to our employees and adapt to the changing marketplace. We look at the big picture and encourage our engineers to get training and certifications in emerging technologies that will help shape our customer’s mission. We've been profitable year after year. We're always on the lookout for great engineers to join the team and we recognize that our employees are the heart and soul of what we do.We focus on recruiting talented people, treating them right, and then allowing them to do what they do best. No red tape. No micromanagement. Smart people want to work with smart people, and we love people who are passionate about what they do, and finding ways to do it better.

And then there is the...

Benefits

  • Attractive total compensation package to include competitive salary and medical benefits with an option for FREE employee HSA medical plan!
  • Office perks such as free soft drinks and snacks (both healthy and not-so-healthy)
  • Praxis swag (annual gift certificate to purchase top brand Praxis apparel)
  • 401k contribution/match: combination of profit share/contribution (3.5%) and employer match (up to 4.5%) for a total of 8%.
  • Annual bonus plan
  • 4 weeks Paid Time Off 10 holidays comp time eligibility. (30 days of leave to start!)
    • We reward longevity! On your 5th work anniversary – you will receivean additional week of PTO to 5 weeks of PTO. Making it 35 days of leave altogether!
    • On your 10th work anniversary– you will receive an additional week of PTO to 6 weeks of PTO. Making it 40 days of leave altogether!
    • At any time, your unused PTO can be traded in for $$$!
  • Carryover a max of 380hoursof leave from year to year. You can choose to have a sabbatical one year or trade in your unused PTO for something nice!
  • Student loan repayment Assistance – COMING SOON!
  • Training is a priority!Take advantage of our endlessin-house training opportunities - or seek out vendor offered (paid) training opportunities like conferences, certification courses and seminars.
    • Conferences(recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon.
    • Training & Certifications:Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master...the list of certifications goes on and on!
    • Praxis University:Cyber Research, Data Analytics, IoT, AWS and RedHat course offerings and hands-on training.
  • We truly believe the right work-life balance can exist, and it's here at Praxis. Our work is extremely important, but your job is just a part of who you are. When you enjoy your life outside of our walls, you're at your best the next time you walk through our doors. We do all we can to assure that happens every day.

Praxis Engineering provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex,sexual orientation,gender identity, national origin, disability or veteran status, or any other protected class.

 

Job Summary

JOB TYPE

Full Time

SALARY

$120k-148k (estimate)

POST DATE

03/16/2024

EXPIRATION DATE

06/25/2024

WEBSITE

praxiseng.com

HEADQUARTERS

Annapolis Junction, MD

SIZE

500 - 1,000

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The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, 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. You can explore the career advancement for a Data Scientist 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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