Data Scientist - Senior Data Scientist - MS MDCPS (156573)
Jackson, MS
12+ Months
100% remote
The Mississippi Department of Child Protective Services seeks a senior data scientist to support a proof-of-concept
demonstration using natural language processing and other machine learning methods 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 addition, 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 quality of the results and
that the derived methods are transparent, statistically sound, relevant, and documented.
Required Skills :
Bachelor s, Master s, or Ph.D. in computer science, mathematics, engineering, physics, or related field.
Have participated in US Federal Gov t data science programs requiring TS/SCI clearance, delivering solutions
requiring the combination of geospatial disciplines and pattern of life, and Social network connections.
Data engineering expertise, with demonstrable experience custom building programs processing in excess of
700 Million records in less than :30min, on a highly frequent, reoccurring basis.
Proven expertise working with CCWIS data attributes to predict child welfare outcomes, including but not
limited data attribute selection, data clean up and statistical tuning.
Extensive knowledge of statistical algorithms, machine learning, and adaptive 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 collective errors,
computational time, scalability, and outcomes.
Prior success in developing optimal non-rule-based decision-making systems where the inputs are stochastic.
Successful history of converting social processes and human decision-making into computational models that
yield improved results.
Regards,
Venkat Krishna Mohan
Key Business Solutions, Inc.
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