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Data Scientist
$120k-148k (estimate)
Full Time | Business Services 2 Weeks Ago
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Incept Data Solutions is Hiring a Data Scientist Near Arlington, VA

Clearance: Secret

Office Location: Arlington, VA

Position Overview:

We are seeking a skilled Data Scientist to join our dynamic and innovative team. The ideal candidate will have demonstrated expertise in working with mid-to-large size datasets and data analysis tools, along with a strong background in mathematics and statistics.

Responsibilities:

· Working with mid-to-large size datasets.

· Implement build processes supporting data transformation, data structures, metadata, and workload management.

· Manipulate, process, and extract value from large, disconnected datasets.

· Implement data warehousing solutions.

· Develop data validation methods and data analysis tools.

· Ensure compliance with data governance and security policies.

· Work with structured, semi-structured, and unstructured data, including data parsing, transformation, schema analysis, and query/analysis.

· Utilize SQL and relational databases for data analysis.

· Utilize and fluency in one or more programming languages (e.g., Python, JavaScript, R, etc.).

· Utilize big data tools.

Requirements:

· Strong mathematical/statistical background.

· Demonstrated experience with Linux, Unix, or Microsoft Windows operating systems.

· Demonstrated experience with SQL and relational databases.

· Demonstrated experience with Python and JavaScript for web/HTML development.

· Experience with computational notebook software such as Zeppelin or Jupyter.

· Experience with the application of visual analytics to computational analytic results.

· Bachelor's or Master's Degree in an IT discipline.

Highly Desired Skills:

· Demonstrated experience working on Amazon Web Services environments or other cloud service providers (CSP) environments.

· Demonstrated experience building, instrumenting, and monitoring analytic pipelines.

· Demonstrated experience using Python to deliver operational ML capabilities.

· Demonstrated experience with distributed data and data computing tools.

· Demonstrated experience with the Amazon Web Services infrastructure or other cloud service providers (CSP) infrastructure.

· Demonstrated experience with the data science capabilities native to Amazon Web Services or other cloud service providers (CSP).

· Demonstrated experience working with Linux command line (bash).

Missing Link Security does not discriminate in employment opportunities, terms, and conditions of employment, or practices on the basis of race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, or any characteristic protected by law.

Job Type: Full-time

Benefits:

  • 401(k)
  • Dental insurance
  • Health insurance

Schedule:

  • Monday to Friday

Education:

  • Bachelor's (Required)

Experience:

  • · Strong mathematical/statistical background.: 5 years (Required)
  • Linux, Unix, or Microsoft Windows operating systems.: 4 years (Required)
  • SQL and relational databases.: 3 years (Required)
  • Python and JavaScript for web/HTML development.: 4 years (Required)
  • computational notebook software such as Zeppelin or Jupyter.: 4 years (Required)

Security clearance:

  • Secret (Required)

Work Location: In person

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

SALARY

$120k-148k (estimate)

POST DATE

04/13/2024

EXPIRATION DATE

08/10/2024

WEBSITE

inceptds.com

HEADQUARTERS

Herndon, VA

SIZE

<25

INDUSTRY

Business Services

Show more

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The job skills required for Data Scientist include Data Science, Python, SQL, Data Analysis, Big Data, Programming Language, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. 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. 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 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.

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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.

02/01/2022: Peoria, IL

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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