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Data Scientist (All Levels)
$121k-149k (estimate)
Full Time | Business Services 10 Months Ago
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Apogee Integration LLC is Hiring a Data Scientist (All Levels) Near Chantilly, VA

Security Clearance: Active TS/SCI with CI Polygraph required

Position

The National Reconnaissance Office (NRO) is the U.S. Government agency in charge of designing, building, launching, and maintaining America’s intelligence satellites.

Develop. Acquire. Launch. Operate.

Apogee's ideal Data Scientist will work as part of a small dynamic team of data scientists and software developers to help Apogee & our client conduct data analysis, visualizations, and deliver data-driven insights to enable reduction in cost and complexity, increase trust and integrity, and improve operational mission effectiveness and strategies.

If you love data, tools and finding answers for today's and avoiding tomorrow's problems, then you'll love Apogee and this position!

There are Multiple positions across a wide spectrum of technology and mission domains available.

What You'll Do

  • Conduct Data Analysis
  • Deliver Data-Driven Insights
  • Build Analytical Systems and Models
  • Develop and integrate dynamic dashboards
  • Analyze Business & Operations processes
  • Present recommendations to decision makers
  • Learn new tools and techniques
  • Grow your Data Science proficiency

Required

  • Bachelor's Degree 
  • Experience in Data Science/Data Analysis/Data Visualization
  • Knowledge and Experience applying Analytics (Finance, HR, Social Sciences, Engineering, and Operations Research)
  • Experience working within a team to deliver client solutions 
  • Ability to interface and present effectively with leadership/customer/stakeholder to drive decision making

Desired Skills

  • BS in Mathematics, Engineering, Programming; Bachelor's in finance, Economics, Criminology or related
  • 2-years' experience in Data Science/Data Analysis/Data Visualization 
  • Data Engineering Knowledge/Experience:
    • Tableau, SQL, R and/or Python, Apache Spark is a plus
    • Model Based Systems Engineering (MBSE)
    • Relational database and data Warehouse modeling and schema design
    • ETL automation
    • No-SQL and big data systems
    • Statistical Analysis & Techniques experience
      • Advanced analytics techniques (regression, clustering, forecasting, simulation, machine learning)
      • Interrogation of external or internal data sources to support analytic methods and visualization techniques
      • Business Process & Operations quantitative analysis

What You'll Love About Apogee

  • Challenging work in support of US Intel Community - a Mission that Matters!
  • Access to our cool ApogeePlex facility
  • Support for new ideas & encouragement to take risks
  • Professional Development Assistance (PDA)
  • Wicked smart and collaborative coworkers
  • Regular interfacing with company leadership
  • 401(k) with huge company match
  • Paid Time Off / Floating Holidays
  • Medical, Dental, Vision
  • Life Insurance, Disability (Short and Long Term), Accidental Death and Dismemberment (AD&D)
  • Health Savings Accounts / Dependent Care Flexible Spending Accounts

Apogee's Mission

  • Be the PROVIDER of choice for government & commercial organizations with an unwavering commitment to responsiveness, accuracy, integrity, collaboration, and innovation
  • Be the EMPLOYER of choice committed to an open & transparent corporate atmosphere and progressive culture that attracts and empowers world class professionals to explore cutting-edge technical solutions while fostering professional growth
  • Be the preferred SOURCE for cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success

Apogee Integration is an Equal Opportunity/AA Employer - M/F/Vets/Disabled  

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

SALARY

$121k-149k (estimate)

POST DATE

06/09/2022

EXPIRATION DATE

05/03/2024

WEBSITE

apogeeintegration.com

HEADQUARTERS

CHANTILLY, VA

SIZE

50 - 100

FOUNDED

1998

TYPE

Private

CEO

CHRISTOPHER JOHNSON

REVENUE

<$5M

INDUSTRY

Business Services

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The job skills required for Data Scientist (All Levels) include Data Science, Python, SQL, Data Analysis, Programming, Leadership, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist (All Levels). 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 (All Levels). 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 (All Levels) positions, which can be used as a reference in future career path planning. As a Data Scientist (All Levels), 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 (All Levels). You can explore the career advancement for a Data Scientist (All Levels) 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.

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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 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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