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TM Floyd & Company
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Data Scientist (Onsite)
TM Floyd & Company Chesterfield, VA
$106k-130k (estimate)
Full Time 1 Week Ago
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TM Floyd & Company is Hiring a Data Scientist (Onsite) Near Chesterfield, VA

We're currently hiring a Data Scientist for an onsite role based in North Chesterfield, VA. If you’re looking for a new opportunity, apply today!

Key Responsibilities:

• Serve as the team leader for two teams – a test data team and a Microsoft Power BI reports team

• Collaborate with suppliers, interface partners, and Information Technology (IT) divisions to extract, scrub, pre-position and utilize test data in coordination with test plans and activities

• Coordinate test data management with the Information Security Officer (ISO)

• Research and document report requirements and develop Power BI reports

• Assist with the development of test plans and test cases and analysis of each test case and applicable test data requirements and sources

• Lead all aspects of test data management and interface partner test environments

• Develop and maintain an inventory of reports

Skills & Qualifications:

• 6 years of experience performing complex data analysis and creating management and statistical reports

• 5 years of experience with:

o Microsoft Products (Word, Excel, Visio, PowerPoint)

o Developing Power BI reports and experience developing system test plans

o Implementing cloud-hosted Software as a Service (SaaS) solutions

o Managing security access and user profile management

o Analyzing functional/nonfunctional system requirements

The salary range for this position is $95,000 - $110,000. Actual compensation within that range will be dependent upon the individual's skills, experience, and qualifications.

Job Summary

JOB TYPE

Full Time

SALARY

$106k-130k (estimate)

POST DATE

06/07/2024

EXPIRATION DATE

07/04/2024

WEBSITE

tmfloyd.com

HEADQUARTERS

COLUMBIA, SC

SIZE

200 - 500

FOUNDED

1976

TYPE

Private

CEO

TERRY M FLOYD

REVENUE

<$5M

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

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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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