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DATA SCIENTIST
$118k-145k (estimate)
Full Time 3 Months Ago
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Department of the Air Force - Agency Wide is Hiring a DATA SCIENTIST Near Los Angeles, CA

Click on "Learn more about this agency" button below to view Eligibilities being considered and other IMPORTANT information.
The primary purpose of this position is to perform a variety of duties in the Data Science field and to complete developmental assignments and training outlined in the formal training and developmental plan.

Qualifications:


BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:

Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.


KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:

1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.

2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports,
documentation, and correspondence to communicate factual and procedural information clearly.

3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.

4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.

5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.

6. Ability to plan and organize work and confer with co-workers effectively.

PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.

VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment.You will receive credit for all qualifying experience, including volunteer experience.

Responsibilities:

NH-02

DUTY 1: Performs developmental assignments in support of projects assigned to higher level analysts. Performs minor phases of a larger assignment or work of moderate difficulty where procedures are established, and a number of specific guidelines exist. Applies the various steps of accepted data science procedures to search for information and perform well precedented work. Performs a series of specific and related tasks that have been selected to orient the employee in the practical application of basic occupational techniques, such as conducting analytical investigations using scientific methodology and problem solving for matters that are primarily of a factual nature. Assignments are combined with training to further develop analytical skills and techniques. Assistance is available from the supervisor or a higher-graded specialist.

DUTY 2: Performs general operations and assignments for portions of a project or study consisting of a series of interrelated tasks or problems. The employee applies judgment in the independent application of methods and techniques previously learned. The employee locates and selects the most appropriate guidelines and modifies to address unusual situations. Assists higher graded data scientists in finding solutions to problems requiring a variety of sources and utilizes suggested work methods, practices, or procedures to work unfamiliar tasks. Compiles, organizes, analyzes, and processes data and information in compliance with established procedures. Evaluates and resolves routine problems that are encountered; refers unfamiliar situations, significant deviations, and problems to the supervisor for assistance.

DUTY 3: Participates in special initiatives, studies, and projects. Performs special research tasks designed to utilize and enhance knowledge of work processes and techniques. Works with higher graded specialists in planning and conducting special initiatives, studies, and projects. Assists in preparing reports and briefings outlining study findings and recommendations. Uses computers and information technology and their varied applications to accomplish projects, plans, and reports.

DUTY 4: Prepares correspondence and other documentation. Drafts or prepares a variety of documents to include newsletter items, responses to routine inquiries, reports, letters, and other related documents.

Job Summary

JOB TYPE

Full Time

SALARY

$118k-145k (estimate)

POST DATE

01/11/2024

EXPIRATION DATE

09/30/2024

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The job skills required for DATA SCIENTIST include Data Science, 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.

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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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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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Business analysts are focused on reporting, just like data analysts.

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Step 3: View the best colleges and universities for Data Scientist.

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