Senior Data Scientist
About us
Founded in Baton Rouge, LA in 2008, Vinformatix, LLC helps customers in the public and private sectors to meet complex challenges with custom web-based solutions that are user-friendly, reliable, and scalable. As a leading representative of Louisiana’s emerging home-grown digital economy; we create software and web-based solutions that help public sector agencies increase productivity, mobility, effectiveness, and the security of public information. Our services include multi-platform web and mobile application development, software and hardware systems integration, data analytics development, GIS related services, and business automation and consulting services.
Position Summary:
(This position is ONLY looking for candidates that have a Government Issued Secret Clearance)
Performs data analytic functions to include the application development of analytics, measures, and metrics to help foster performance towards service targets, objectives, and goals in order to influence agency public health decisions.
Makes recommendations on best practices to improve predictive analytics, data sampling, data warehousing processes, and other uses of advanced analytics and information technology.
Evaluates and interprets data extracts and reports from various systems assessing relevant data sources validity and reliability to meet project needs to aid stakeholders in understanding and utilizing analytical reports.
Produces analytical reports and communicates the technical data requirements to data providers.
Identifies trends, correlations, and causations within large datasets to provide a synopsis of emerging trends, challenges, and recommendations for change.
Develops and implements dynamic data visualizations and interactive reporting to provide meaningful insight from the data (such as dashboards, scorecards, and graphs).
Incorporate and/or integrate health equity principles and practices in the development of IT infrastructures, algorithms, concepts, storage, retention and surveillance programs reflective in the collection, analysis and dissemination of social determinants data and factors that inform and impact public health outcomes and mission driven efforts to protect and prevent global public health threats to include the socially and economically disadvantaged/underrepresented populations.
Develops mathematical, and/or statistical models for evaluation, identification, collection, and analysis of all data used to support assigned projects or program(s).
Performs work involving the conceptualization of complex data research analyses and chooses specific technical methods and procedures for a single project or an entire area of investigation.
Data to be analyzed comes from diverse sources and in diverse forms that include computerized statistical files, manual or automated program reporting systems and program files, and ad hoc information obtained from internal and external sources.
Utilizes a variety of quantitative analyses, data research tools and techniques, and other appropriate quantitative methodologies.
Selects the appropriate scientific data collection techniques for program analysis from numerous sources, assures the adequacy and accuracy of the data, and identifies significant factors which affect the research or investigation. This includes setting up the problems; conducting background investigations; collecting scientific data; displaying data for analysis; formulating mathematical expressions; and drawing conclusions.
Develops reports and presentations that will be translations of technical analyses into business applicable material, simple, concise, understandable, and convincing.
Develops illustrations and visualizations of data that can easily be comprehended and simplified for non-technical stakeholder audiences, communicating statistical modeling results as measures of the business’s impact.
Attends meetings to coordinate work with other organizations involved in the project, such as the developer or contractor, tester, and other analytical organizations.
Prepares comprehensive technical reports of completed studies, assuring adequate correlation of data, integration of all pertinent considerations, and substantiation of conclusions.
Qualifications and Education
Individuals must possess Masters or Bachelors with five (5) plus years of specialized experience. Specialized experience is defined as experience that is typically in or related to the work of the position to be filled, and has equipped you with the knowledge, skills, and abilities to successfully perform the duties of the position, and that is typically in or related to the work of the position to be filled.
Must have the ability to Work with large datasets, Microsoft Office Suite, Microsoft Power Platform tools such as Power BI, Power Automate, Power Apps, and related software languages to support data integration, analysis, data visualization, display techniques and reporting.
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study that is appropriate for the position.
SECRET Clearance is required for this position.
or
Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown above, plus additional education or appropriate experience. Experience in programing languages such as Python, R, SQL, SAS, Stata; experience with data visualization using PowerBI. Experience with large data sets and data tools to support the analysis and dissemination of findings. Knowledge of machine learning algorithms ad techniques, such as linear regression, decision trees, clustering, and deep learning. Additionally, experience with communication and collaboration with stakeholders across multifaceted organizations, identifying opportunities, communicating findings, and delivering actionable insights.
Job Types: Full-time, Contract
Pay: $100,000.00 - $125,000.00 per year
Benefits:
401(k)
401(k) matching
Dental insurance
Health insurance
Paid time off
Vision insurance
Schedule:
8 hour shift
Work Location: Remote
