What will you be doing
The Expert-level Data Scientist will be 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.
- 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 will need
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Working knowledge appropriate analytic methods and methodological tools in one or more of the following areas:
- Applied mathematics (e.g. probability and statistics, formal modeling, computational social sciences)
- Computer programming (e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing)
- Visualization (e.g. GIS/geospatial analysis, telemetry analysis)
- Working knowledge of research designs
- Intellectual curiosity; creativity and innovation to go beyond current tools to deliver the best solutions to complex problems.
- Strong analytical and critical thinking skills
- Ability to leverage multiple data management tools to organize relevant information and make decisions
- Ability to develop comprehensive software applications, as needed
- Ability to translate complex, technical findings into an easily understood narrative
- Ability to work collaboratively and effectively in a team environment
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Technologies to know:
- Statistical Tools may include: SAS, R, SPSS, Matlab, Mahout/MADlib, Stata
- Technology Tools: AWS, Open Search and Python Data Science tools
- Programming languages: SQL, C/C++, JAVA, Python, Perl
- Data Management Tools my include: Hadoop tools, MapReduce, Pig, Hive, NoSql, Tableau, Hbase
Qualifications: 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)
Clearance
Active TS/SCI with an appropriate polygraph is required to be considered for this role
Salary range:
$106,250.00 - $209,657.00 (Annually)*
*The range displayed above is a likely salary range for this position. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
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 approaches to create high value solutions aimed at helping our customers meet their most critical business and mission objectives.
*Praxis Engineering is a wholly owned subsidiary of General 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
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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 receive an 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!
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At any time, your unused PTO can be traded in for $$$!
- Carryover a max of 380hours of leave from year to year. You can choose to have a sabbatical one year or trade in your unused PTO for something nice!
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Training is a priority! Take advantage of our endless in-house training opportunities - or seek out vendor offered (paid) training opportunities like conferences, certification courses and seminars.
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Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon.
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Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master...the list of certifications goes on and on!
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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.