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Data Scientist
Na Oiwi Kane Washington, DC
$120k-148k (estimate)
Full Time 1 Month Ago
Save

Na Oiwi Kane is Hiring a Data Scientist Near Washington, DC

Location: Nationwide with preference for DC metro area. Remote work may be available.

Security Clearance:

Must be a US Citizen eligible for a DoD Secret Clearance.

Job Summary:

Collaborate with the data analytics and support services team providing data science and data analytics support analyzing, verifying, designing, refining, modernizing, and maintaining data models and component views within client systems. The team reviews and conducts analysis of current data models and data logic utilized to identify any gaps that may exist. The team uses industry standard methodologies to ensure the data model, data logic, and established business rules are accurately presented in the reporting capabilities of the systems. The team analyzes and provides recommendations for utilizing big data sets by structuring and analyzing the data in a way allowing client end users to prepare reports.

Key Responsibilities:

  • Support the development and implementation of data marts, data structures, functions, data warehouse fact & dimension tables, views, and indexes
  • Write complex SQL queries and SQL performance tuning
  • Capture technical metadata through data modeling tools
  • Gather analyst requirements, create, organize, and use data stores, create and use indexes, create and use data documents, and optimize the ability to query and retrieve required data
  • Support the review and provide input on Business Rules Document(s)
  • Other duties as assigned

Job Requirements:

Qualifications:

  • Minimum 2 years experience
  • Experience modeling reporting marts/layers for BI Tools (Tableau Preferred)
  • Experience with statistical computer languages (SQL, R, Python, etc.)
  • Proficiency and application experience in data architecture, data visualization, and reporting
  • Strong understanding of data structures and modeling
  • Demonstrated ability to interact with Functional Analysts, Project Managers, ETL developers, and end users regarding data needs

Benefits:

  • Employer Paid Medical Insurance
  • Dental and Vision Insurance
  • 401k
  • PTO
  • Tuition Reimbursement

Physical Requirements:

Work may involve sitting or standing for extended periods of time. Position may require typing and reading from a computer screen. Must have sufficient mobility, including but not limited to bending, reaching, and kneeling to complete daily duties in a timely and efficient manner. There is a possibility that due to parking availability and location of work, walking moderate to long distance may be required. Possible lifting up to 25 lbs.

Please note: 4S-Silversword Software and Services LLC reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Positions functions and qualifications may vary depending on business needs. 4S-Silversword Software and Services LLC is an equal opportunity employer and does not discriminate against applicants based on race, color, creed, religion, medical condition, legally protected genetic information, national origin, sex (including pregnancy, childbirth or related medical condition), sexual orientation, gender identity and expression, age, disability, or Vietnam era, or other eligible veteran status or legally protected characteristics.

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Job Snapshot

Employee Type

Full-Time

Location

Nationwide, DC (Onsite)

Job Type

Information Technology, Government

Experience

Not Specified

Date Posted

02/26/2024

Job Summary

JOB TYPE

Full Time

SALARY

$120k-148k (estimate)

POST DATE

03/02/2024

EXPIRATION DATE

07/01/2024

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Na Oiwi Kane
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The job skills required for Data Scientist include Data Science, Python, SQL, Data Analytics, Big Data, Tableau, 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.

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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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