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RESPONSIBILITIES:
Kforce'a client, a high infotech company is looking for a Remote Principal Data Scientist in Nashville, TN.
Summary:
This company was founded in 2012 with the desire to help home health agencies identify patients on census at-risk for unplanned rehospitalization. Since then this firm has developed products and services which help home health providers create clinical programs, manage large populations more efficiently, and drive value to strategic partnerships. As the Principal Data Scientist you will be responsible for developing, interpreting, and implementing statistical models and creating other analytical solutions using the latest statistical and data science techniques for business problems across the organization.
Duties and Responsibilities:
Own predictive modeling processes at this firm
Develop and maintain predictive models
Investigate data quality
Explore feature selection and model tuning for improved performance
Collect performance data and monitor model assessment
Drive data understanding to ensure the alignment of data science to business goals
Work with Product Team to align on data meaning and industry practices and terminology
Work with Data Platform Team to ensure concept and semantic integrity across data layers
Manage Data Governance Framework Research and analyze the effectiveness of products
Use techniques such as PSM to estimate, understand, and monitor product performance
Research and implement new machine learning methods to improve risk management products
Support BI and analytics across departments
REQUIREMENTS:
Undergraduate degree from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, or related fields with a strong mathematical background, with ability to understand data mining algorithms and machine learning
Statistical hypothesis tests: Advanced degree in Statistics
Eight years of professional experience working as a Senior Data Scientist in machine learning,
Three or more years managing and mentoring a team of data scientists in a production environment
Demonstrated experience in data governance and data quality best practices
Experience in bringing a data science product to market working across business functions
Broad knowledge of supervised machine learning approaches and performance; Boosting, random forests, linear regression, logistic regression, artificial neural networks, convolutional neural networks, naive bayes, etc.
Moderate knowledge of traditional statistics; Confidence intervals, hypothesis tests for independent samples vs related samples, p values, type I vs type II error
Expert ability to communicate findings and solutions clearly to a variety of audiences, as well as draft clear, comprehensive specifications for engineers or explaining analytics concepts to non-experts
Support Data Science Team in at least one area
Ability to translate analysis question into a testable hypothesis and run a well-designed experiment
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
