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Data Scientist #1983
Compass Springfield, VA
$120k-148k (estimate)
Full Time | Retail 6 Months Ago
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Compass is Hiring a Data Scientist #1983 Near Springfield, VA


This position is contingent upon task order award.
 

Position: Data Scientist - Senior Level #1983
Location: Springfield, VA
Clearance Required: Top Secret/SCI Eligibility

Compass is looking for a motivated individual to provide operational services to the Intelligence Community.Our goal is to hire talented and passionate team members who desire to grow their skillsets, as well as the reputation of the company with our partners, clients, and stakeholders. We are looking for an individual to join an innovative team supporting mission critical/mission essential activities. Professional IT certification training opportunities and assistance are available through Compass.

Duties Include:

  • Apply extensive knowledge to integrate, develop, and maintain analytic models, visualizations, and tools to evaluate, analyze and communicate internal/external user behavior and overarching enterprise or portfolio performance.
  • Provide statistical and mathematical support in assisting in the analysis and interpretation of a wide range of data to help understand and improve the customer's experience.
  • Leverage a range of data sources (e.g., Web traffic, customer requests for information, survey responses, production databases, etc.) for an understanding of what drives a positive customer experience.
  • Provide insights that will be used to inform decisions and agency operational strategies, in partnership with teams examining website design, customer interactions, featured content, and future products and services.
  • Applies business analytics and customer segmentation techniques in any corporate function, e.g. marketing analytics, consumer analytics, operations analysis, human capital analytics, or other relevant fields
  • Maintain, move, and manipulate data between applications, using appropriate software/code: Apache Spark, ElasticSearch, R, Python, Kibana and others as technology evolves.
  • Establish an agile analytics process that provides better insight into ongoing analytic/data visualization activities.
  • Manage an inventory of implemented dashboards, other analytic products and current product backlog for implementation.

Skills and Experience:
Required Skills and Experience:

  • Demonstrated experience developing data analytics models and visualizations employing proven industry standards in statistic/data science principles, practices, and techniques in the analyses of business data.
  • Demonstrated experience developing dashboards to effectively convey site metrics to non-technical audiences, to include but not limited to:
  • Communicating warnings and limitations of both coding techniques and statistical analyses depicting current state and providing insight to improvement plan implementation strategies and milestone achievement.
  • Demonstrated experience working with commercial-off-the-shelf (COTS) statistical software or tools for data visualization (i.e., SPSS, SAS, MatLab, Tableau, etc.).
  • Demonstrated experience data mining, to include developing, manipulating, or maintaining databases.
  • Demonstrated experience utilizing computer programs, software, or a variety of coding languages (i.e., Python, MySQL, D3, SPSS, SAS, Visual Basic, R, etc.) to summarize statistical data and create documents, reports and presentations.
  • Demonstrated ability to proactively identify methods and approaches to expand and enhance the analytic capacity and ability of an existing portfolio.

Desired Skills:

  • Demonstrated experience effectively communicating with various partners, stakeholders, or customers on the value of statistical and data science methods to include but not limited to:
    • the strength of models/formulas,
    • their limitations, warnings, and weaknesses in various applications.
  • Demonstrated experience embracing and participating in a culture of knowledge sharing to broaden the understanding of:
    • advanced methods or
    • niche statistical methods and
    • data science analytic methods and
    • coding techniques to include fundamental understanding of model/formula strength, limitations, warnings and weaknesses when applied in various scenarios

Business (SB) headquartered in Winchester, VA as a Defense and Intelligence solutions provider to the United States Government. We provide Systems Engineering and Technical Assistance (SETA), Advisory and Assistance Services (A&AS), and Systems Engineering and Integration (SE&I) to our government and business partner customers. As a premier Defense and Intelligence solution provider, we employee a diverse, agile, highly trained and extremely talented staff.
Equal Opportunity Employer Veterans/Disabled

Job Summary

JOB TYPE

Full Time

INDUSTRY

Retail

SALARY

$120k-148k (estimate)

POST DATE

10/14/2023

EXPIRATION DATE

04/09/2024

HEADQUARTERS

SPARTANBURG, SC

SIZE

25 - 50

FOUNDED

2016

REVENUE

<$5M

INDUSTRY

Retail

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The job skills required for Data Scientist #1983 include Data Science, Python, Insight, Futures, Data Analytics, Data Mining, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist #1983. 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 #1983. 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 #1983 positions, which can be used as a reference in future career path planning. As a Data Scientist #1983, 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 #1983. You can explore the career advancement for a Data Scientist #1983 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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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.

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

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