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Leidos
Annandale, VA | Full Time
$120k-148k (estimate)
2 Months Ago
Data Scientist
Leidos Annandale, VA
$120k-148k (estimate)
Full Time | Business Services 2 Months Ago
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Leidos is Hiring a Data Scientist Near Annandale, VA

Description

We are looking for an experienced Data Scientist with an entrepreneur’s mindset to support a fast-paced and growing data science team working on projects critical to National Security. The position is located within a classified space in the Northern Virginia area and requires an active TS/SCI with Polygraph security clearance. Position is funded and an immediate fill opportunity.

The Data Scientist will be expected to build statistical models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings. The Data Scientist will perform research on various data sources, to include unstructured data using quantitative and qualitative content analytics. The Scientist will construct and perform complex database search queries in multiple databases using SQL and API interfaces. The Scientist will perform web scraping and apply various techniques for processing unstructured data. The Scientist will leverage automation and machine learning to manage data, predict scenarios and make recommendations. The Data Scientist will contribute to building new analytical tools and packages across the enterprise and will be expected to collaborate with team members in a highly technical environment. The Data Scientist will be expected to learn and leverage emerging technologies including AWS and Git.

Requirements:

  • Experience with AI/ML.

  • TS/SCI clearance with polygraph is required

  • Strong experience with Python.

  • Experience working with data manipulation, analytic/business insight tools, and data visualization experience

  • Experience with SciPy stack or Tidyverse packages

  • Experience constructing and performing complex database search queries

  • Experience/ knowledge of computer science concepts, data architecture, and experience/knowledge of statistics

  • Demonstrated experience using statistical and machine learning techniques including supervised and unsupervised learning and natural language processing

  • Experience /familiarity with frequentist statistics and probability including predicative modeling

  • Experience with visualizing data using popular packages including Tableau, ggplot or Matplotlib

  • Ability to communicate technical findings to non-technical audiences

  • Typically requires BS degree and 12 – 15 years of prior relevant experience or Masters with 10 – 13 years of prior relevant experience. May possess a Doctorate in technical domain.

Original Posting Date:2024-02-22

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $122,200.00 - $220,900.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Original Posting Date:02/22/2024

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

About the Company:
Leidos

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

SALARY

$120k-148k (estimate)

POST DATE

02/26/2024

EXPIRATION DATE

04/24/2024

WEBSITE

careers.leidos.com

HEADQUARTERS

VIRGINIA BEACH, VA

SIZE

50 - 100

FOUNDED

2019

REVENUE

<$5M

INDUSTRY

Business Services

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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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