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Data Scientist
$106k-131k (estimate)
Contractor | Building Construction 5 Days Ago
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BLOC Resources, LLC is Hiring a Data Scientist Near Atlanta, GA

Education, Certifications/Licenses: 
Required: 
Bachelor’s degree in mathematics, economics, engineering, computer science, or similar discipline. 
Preferred:
Graduate degree in quantitative discipline

Related Work Experience:
Required:
2-3 years experience in data science, analytics, and modeling, preferably in the energy or finance industry.
Proven track record of model creation and management in a business environment.

Specific Skills & Knowledge:
Required:
Knowledge of data base management systems such as SQL Server, MySQL, or Microsoft Access
Experiences of machine learning and data visualization: 
Strong experience in python, Power BI, predictive modeling 
Experience with SQL required. 
Proven record of experience working with large databases and use of statistical models for valuation and 
prediction. Experience with Python required, experience with R or SPSS preferred but not required.
Demonstrate quantitative skills and ability to apply complex financial and statistical principles.
Ability to manage multiple projects at once with several departments and stakeholders in a timely fashion with measurable results.

Job Summary

JOB TYPE

Contractor

INDUSTRY

Building Construction

SALARY

$106k-131k (estimate)

POST DATE

05/09/2024

EXPIRATION DATE

08/05/2024

WEBSITE

blocglobal.com

HEADQUARTERS

BIRMINGHAM, AL

SIZE

100 - 200

FOUNDED

2015

TYPE

Private

CEO

HERSCHELL L HAMILTON

REVENUE

$10M - $50M

INDUSTRY

Building Construction

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The job skills required for Data Scientist include Data Science, Python, SQL, Economics, 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.

02/12/2022: San Diego, CA

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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