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Mining Data Analytics Jobs in Missouri (NOW HIRING)

Build high-quality analytics systems that solve our customers' business problems using techniques from data mining, statistics, and machine learning * Write clean, collaborative, and version ...

Mine Operations Specialist

Boss, MO

$47K - $63K/yr

Using innovative mining techniques, Doe Run skillfully taps one of the largest lead deposits in the ... Provide data analysis and run economic impact analysis projects. * Share data analytics with ...

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Mining Data Analytics information

What is the difference between Mining Data Analytics vs Data Analyst?

AspectMining Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Mining Engineering, or related fields; certifications in data analytics or mining softwareBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentMining sites, data centers, or corporate offices; focus on mineral extraction dataOffice settings, corporate or consulting firms; focus on business data
Employer & Industry UsageMining companies, resource extraction industriesVarious industries including finance, healthcare, retail

Mining Data Analytics and Data Analysts both analyze data, but Mining Data Analytics specializes in mineral extraction data within the mining industry, often requiring industry-specific knowledge and certifications. Data Analysts have a broader scope across multiple industries, focusing on business insights. While both roles involve data interpretation, their environments and applications differ significantly.

What are popular job titles related to Mining Data Analytics jobs in Missouri? For Mining Data Analytics jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Mining Data Analytics jobs in Missouri look for? The top searched job categories for Mining Data Analytics jobs in Missouri are:
What cities in Missouri are hiring for Mining Data Analytics jobs? Cities in Missouri with the most Mining Data Analytics job openings:
Data Scientist - DIRECT HIRE

Data Scientist - DIRECT HIRE

Department of Transportation

Kansas City, MO • On-site

$85K/yr

Other

Posted 20 days ago


California Conservation Corps rating

7.5

Company rating: 7.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

533rd of 832 rated public administrative organizations


Job description

This position is located in the Department of Transportation (DOT), Federal Transit Administration (FTA), Office of the Chief Data Officer (OCDO). OCDO develops strategic approaches to leveraging FTA’s data assets, manages FTA’s data governance, builds a strong data culture, manages data as a strategic asset, and uses data to improve mission delivery, operational efficiency, and actionable decision-making data, including via advanced analytic techniques and AI.

Qualifications:

To meet the minimum qualifications for this position, you must (1) meet the Education Requirement for the series, (2) provide a copy of transcripts for verification, AND (3) meet either the education or experience qualifications for the grade at which you are requesting consideration.

To qualify for the GS-11 on Experience, you must have at least one year of experience equal or equivalent to the GS-09 it must include:

  • Experience interpreting data sets and applying statistical and analytic methods to discover patterns for guiding decision-making, streamlining operations, or improving programs.
  • Experience with Python, R, SQL or other analytical tools to develop analyses, reports, or data products.
  • Experience refining business problems into objective, measurable problem statements and translating analysis into clear communications and visualizations to stakeholders in an organization.

To qualify for the GS-11 on Education alone, you must have:
3 years of progressively higher level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree.
You can also qualify based on a combination of higher level graduate education and experience. This must be fully supported by your resume and transcripts, provided with your application.

To qualify for the GS-12 on Experience, you must have at least one year of experience equal or equivalent to the GS-11 it must include:

  • Experience assisting efforts to enhance data governance, management, and data use across an organization, including collaborating and coordinating with other stakeholders in or outside of an organization.

You cannot qualify on education at the GS-12 level; you must have experience.

To qualify for the GS-13 on Experience, you must have at least one year of experience equal or equivalent to the GS-12 it must include:

  • Experience directing advanced data science and artificial intelligence initiatives from conception to deployment, including advising on appropriate classification or predictive models, developing machine learning algorithms, and evaluating models that resulted in an implementation in a production environment.

You cannot qualify on education at the GS-12 level; you must have experience.

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. Data Analysis & Analytics - Manipulates and exploits internal and external, structured, and unstructured data sources to accomplish organizational goals.  
  2. Data Management - Knowledge of the principles, procedures, and tools of data management, such as modeling techniques, data backup, data recovery, data dictionaries, data warehousing, data mining, data archiving, data disposal, and data standardization processes. 
  3. Data Visualization and Communications - Utilizes tools, techniques, and software to generate reports or visualizations that convey data analyses, findings, and limitations and translates technical concepts, data findings, uncertainty, or limitations (including potential bias) from data sets into concise, plain language and supporting diagrams and media.
  4. Service Delivery - Anticipates and meets the needs of both internal and external customers. Seeks to obtain customer feedback through various channels to improve products and services. Delivers high-quality products and services; is committed to continuous improvement.


For all types of consideration, experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social).  Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment.  You will receive credit for all qualifying experience, including volunteer experience.
For additional information about applying to Federal positions, please click on the following link: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-policies/#url=e4
All applicants must meet all qualification requirements by the closing date of this announcement.

Education:

BASIC REQUIREMENTS:

  1. 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.

    OR

  2. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

Employment Type: OTHER

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