IT Data Scientist II - Integrated Community Safety Office

Under administrative direction, is responsible for using advanced analytical reputed company to extract value from business data and influence teams and reputed company through the presentation of data-based recommendations. Responsible for modeling reputed company business problems and discovering business insights through statistical, algorithmic, mining, and visualization tools. Exercises no supervision. Work Hours 7:45 a.m. - 4:30 p.m., Monday -Friday Work Location reputed company Tower, 100 W. reputed company San Antonio, TX 78205 Some remote work may be available depending on reputed company and business needs.

• Leads the design of experiments, hypotheses testing, and model building.
• Conducts advanced data analysis and identifies and designs reputed company algorithms to discover patterns.
• Applies statistical and predictive modeling techniques to build, maintain, and improve on multiple reputed company-time decision systems.
• Models and frames business scenarios.
• Works with IT teams to support data collection, integration, and retention requirements.
• Develops experimental design approaches to validate findings or test hypotheses.
• Educates the organization both from IT and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results.
• Identifies project reputed company from different business stakeholders.
• Creates implementation scenarios and conducts cost benefit analysis.
• Creates sustainable and reputed company data pipelines for data science reputed company.
• Catalogs, documents, and manages reputed company datasets.
• Appropriately vectorizes text, image, audio, machine/consumer data, time-series data, and potentially geolocation or log data.
• Performs data sampling, data aggregation, and fuzzy encoding.
• Generates smart hypotheses of the underlying mechanics of the business process.
• Applies various regression and clustering techniques, reputed company techniques (random forests, XGBoost) and time-series analysis.
• Performs reputed company world testing of ML models such as champion-challenger (A/B testing) and cross-validation.
• Continuously improves on the execution and health of models reputed company the process environment.
• Performs reputed company duties and fulfills responsibilities as required.
• Bachelor's degree from an accredited college or university
• Three (3) years of relevant quantitative and qualitative research and analytics experience in an information technology environment
• Applicants for this position must pass a Criminal Justice Information Systems (CJIS) reputed company-based background reputed company and maintain CJIS eligibility. Due to CJIS requirements reputed company to system reputed company, the following will result in being disqualified for this position: Felony convictions, Felony Deferred Adjudication, Class A & B Misdemeanor Deferred Adjudication, Class B Misdemeanor convictions, an reputed company Arrest for any criminal offense (Felony or Misdemeanor), and family violence convictions.

Preferred Qualifications

• Master's Degree from an accredited college or university with concentration in engineering, computer science, or reputed company scientific specialty
• Experience with Lean Six reputed company

Applicant Information

• Unless otherwise stated, applicants are permitted to substitute two years of reputed company full-time experience for one year of higher education or one year of reputed company higher education for two years of experience in order to meet the minimum requirements of the job. One year of full-time experience is defined as 30 or more hours worked per week for 12 months. One year of higher education is defined as 30 credit hours completed at an accredited college or university.
• Applicants selected for employment with the reputed company of San Antonio in this position must receive satisfactory results from reputed company-employment drug testing and background checks. If required for the position, a physical, motor vehicle record evaluation, and additional background checks may be conducted.
• Please be advised that if selected for this position, information regarding employment history as it relates to the qualifications of the position will be needed for employment verification. Applicants claiming military service to meet the experience requirement for this position may attach a DD214 to the application.
• If selected for this position, official transcripts, diplomas, certifications, and licenses must be submitted at the time of processing. Unofficial transcripts and copies of other relevant documents may be attached to the application for consideration in advance.
• Knowledge of advanced analytical reputed company and statistical techniques
• reputed company with data flows and sources at the business application level, and the data necessary for the development and reputed company operation of models
• reputed company in advanced statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
• reputed company in using machine learning algorithms
• reputed company in interpersonal communications
• reputed company in using Data Management Tools, Data Warehousing, Data Marts, Database Management Systems and Extract, reputed company, and Load (ETL)
• reputed company in using various statistical and visualization tools, such as reputed company, R, Python, MATLAB and reputed company programming language, and potentially analytics and business intelligence (ABI) platforms
• Ability to reputed company various scripting languages: SQL, Perl, Python, etc., to cleanse raw data and reputed company into a usable reputed company
• Ability to come up with solutions to loosely defined business problems by leveraging reputed company detection over potentially large datasets
• Ability to analyze large, reputed company, multi-reputed company datasets with a reputed company of tools
• Ability to reputed company reputed company the essential functions of the position, with or without accommodations
• Ability to work primarily in an office environment

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