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Data Scientist

San Antonio, TX | Full Time

Job Description

STS Systems Support, LLC is seeking a Data Scientist to support the Air Force Civil Engineer Center’s Asset Management Framework managed out of AFCEC/CP.  The Air Force is working to mature its Asset Management processes, procedures, and strategies to an end-state that optimizes life-cycle management while balancing risk and fiscal constraints.  The successful candidates will be part of the SPS team providing innovative solutions to execute the programs above. This position will serve the Real Estate Support Services team and work alongside several other Air Force Product Lines supporting Real Property Asset Management.  The role will include supporting the Air Force Activity Managers and Sub-Activity Managers with the management of the specific asset product line and the development of asset management principles and execution of the requirement development and validation process. Responsibilities will include the following: Work directly with the Real Estate Services Team to provide analysis of associated data bases for requirements validation research, verification of requirement entry matches in data bases, awareness of requirement changes from previous years, and reporting and visualization of associated metrics such as cost, term lengths, status updates, and trend identification. Provide Subject Matter Expert (SME) with experience and proven skills in interpreting, analysis, reporting, design, development, integration, training, testing, documentation, and implementation of Accountable Property Systems of Record (APSR) and information therein. Perform management of large dataset APSR information compilation, reporting and application, possibly involving multiple projects and groups of personnel at multiple locations. Assist with Real Property requirement submission, description, justification, categorization improvement and streamlining, validation tool development input, testing and use, and other process improvement support and coordination with other business areas such as facilities, housing & dorms, technology investment, etc. Analyze built infrastructure data, aggregate requirements, assess asset performance predictions from Sustainment Management Systems (SMS), analyze statistics and trends across portfolios, validate data, perform data management, compile other summarizing reports for each Activity Management Plan (AMP) portfolio, and recommend enhancements to processes. Support integration of multiple database tools for the Real Estate Services portfolio including socialization of data tool capabilities, development of learning aids for tool implementation, development of dashboard exports to align with reporting cycles for senior leader briefings, incorporation of user feedback, collaboration for development and tracking of metrics for performance, and application of analytics to dashboard tools and integration. Improve data confidence within SMS and other Civil Engineer IT systems through quality assurance checks, data reviews, and ensuring corrections and updates occur Facilitate resolution to challenging technical and programmatic issues. Develop informative, professional graphs, charts, datasets, and comparative analysis. Generate finished product reports and presentations for appropriate stakeholders. Travel to various USAF installations to provide training and perform data quality analysis as a part of Asset Management team Basic Qualifications: Bachelor’s Degree 7 years of related experience Proficient with Exploratory Data Analysis (EDA) and able to tell the story within the data to technical and non-technical professionals. Experienced in Linear and Logistic Regression, Decision Trees, PCA, and Random Forest Modeling in Python or R coding languages. Proficient in Microsoft Excel, Word, and PowerPoint. Experience working with databases preferred Work well in a team environment, work independently to develop professional deliverables and take direction well Strong written and verbal communication skills including the ability to develop graphs, charts, datasets, and comparative analysis Ability to adapt and develop innovative solutions Understanding of cross-functional span of control over various specialties and fields Preferred Qualifications:  Experienced in the SMS System specific to the product line – ie. BUILDER, PAVER, GeoBase/GIS, etc. Experience in data visualization with TABLEAU or similar software. SQL and database querying Experience with Air Force data base structures including FM Suite, BEAST, APSR, ACES-RP,  NexGen IT, and other data bases Experience in a customer service, contractor environment Air Force experience preferred; A background in engineering, architecture, planning, construction, or investment An existing NAC-I clearance Position may require Secret Clearance The position will support a mixed government – contractor environment in Panama City, FL or San Antonio, TX.  Working remotely also considered for fully qualified candidate.  This position requires the ability to receive a NAC-I clearance.

Skills for Data Scientist

The job skills required for Data Scientist include Analysis, Python, Data Analysis, Presentation, Collaboration,and Planning 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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Career Path for Data Scientist

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.

How to Become a Data Scientist

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 a Data Scientist

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Step 2 Knowing the best tips for becoming a Data Scientist can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

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