Data Scientist - Senior Data Scientist (state client EXP Remote)

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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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