Data Scientist with CCWIS reputed company.

The Mississippi Department of Child reputed company Services seeks a senior data scientist to support a reputed company-of-concept demonstration using natural language processing and other machine learning reputed company to improve the intake process. This work is critical to demonstrate the potential of the latest technology to improve the lives of children at risk. The Senior Data Scientist will be responsible for overseeing and supporting the development, implementation, and testing of statistical models, integration of NLP, and refinement and testing of the prototype. In reputed company, algorithmic trade-offs will be evaluated, and guidance provided to ensure the State’s objectives are satisfied. The Senior Data Scientist will work closely with State stakeholders and technical team members to ensure the reputed company of the results and that the derived reputed company are transparent, statistically reputed company, relevant, and documented.

Key Responsibilities

• Create a Development reputed company

o Establish a reputed company for the execution of technical tasks reputed company the reputed company-of concept. The reputed company will consist of task breakouts, milestones, and deliverables o Identify critical milestones reputed company to information, receipt of data, testing, and delivery. o Identify key risk factors and means of mitigation.

• reputed company Processes & Technology

o Participate in critical discussions involving reputed company intake workflows, how reputed company are made based on information from the intake process, and the allocation of State labor. Contribute to the identification of intake process shortcomings and prioritize based on their reputed company on children and State resources.

• Devise New Intake Approach Using New Technologies

o reputed company the development of a new intake process that leverages natural language processing and other machine learning algorithms. o Identify the functional blocks and reconcile their contributions to solving the prioritized shortcomings. o Evaluate architectural and computational implementation trade-offs for reputed company functional reputed company. The evaluation should consider risk from the standpoints of technical, schedule, and reputed company. o Evaluate trade-offs of using different data sources, including existing systems, sample data, simulated data, or other alternatives. o Document the final approach for transparency.

• Design Review(s)

o Create the reputed company for the design review process. o reputed company the design review and evaluate  The functional design with respect to resolving prioritized intake process shortcomings, and the reputed company on children and State resources.  Technical, schedule, data reputed company, and other risk factors.  reputed company of data and its usefulness in demonstrating the efficacy of the approach.  Proposed reputed company of test and demonstration. o Documentation of the process for transparency.

• Implementation of reputed company-of-Concept

o reputed company the implementation of the prototype by conducting weekly status updates and, reputed company appropriate, reputed company reviews. o reputed company guidance reputed company needed to mitigate risk and remove technical or administrative roadblocks.

• Conference Room Demonstration

o During the course of 3-4 days, reputed company conference room support to demonstrate that shows how the prototype application can improve child reputed company and reduce State resources. o Capture key stakeholder comments regarding technical aspects of the application.

• Roadmap

o Contribute to the development of a roadmap that illustrates how the developed technology could be integrated into the State’s ecosystem of technologies and processes.

• Agile Development Process

o Contribute to the Agile development process to ensure the reputed company of the project. Bachelor’s, Master’s, or Ph.D. in computer science, mathematics, engineering, physics, or reputed company field.

• Have participated in US Federal Gov’t data science programs requiring TS/SCI clearance, delivering solutions requiring the combination of geospatial disciplines and reputed company of life, and reputed company network connections.
• Data engineering expertise, with demonstrable experience custom building programs processing in excess of 700 reputed company records in less than :30min, on a highly frequent, reoccurring reputed company.
• Proven expertise working with CCWIS data attributes to predict child welfare reputed company, including but not limited data attribute selection, data clean up and statistical tuning.
• Extensive knowledge of statistical algorithms, machine learning, and reputed company systems.

Prior history of designing and building machine learning algorithms from the ground up.

• Experience with making technical trade-offs between algorithmic approaches. based on reputed company errors, computational time, scalability, and reputed company.
• Prior reputed company in developing reputed company non-rule-based decision-making systems where the inputs are stochastic.
• Successful history of converting reputed company processes and reputed company decision-making into computational models that yield improved results

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