Qlarant is a not-for-profit corporation that partners with public and private sectors to create high quality, safe, and efficient delivery of health care and human services programs. We have multiple lines of business including population health, utilization review, managed care organization quality review, and quality assurance for programs serving individuals with developmental disabilities. Qlarant is also a national leader in fighting fraud, waste and abuse for large organizations across the country. In addition, our Foundation provides grant opportunities to those with programs for underserved communities.

Best People, Best Solutions, Best Results

Job Summary:

Develops actionable insights to help identify, understand, and resolve moderately complex business problems, leveraging big data and innovative problem-solving techniques to forecast future trends and outcomes based on past data patterns. Works individually, as well as with higher-level data scientists, designing experiments to solve problems with code and building predictive models and machine learning algorithms tailored to solve intricate business challenges. Develops an in-depth understanding of the business's needs and objectives, enabling the identification and formulation of pertinent questions that can be effectively addressed through data analysis.

Essential Functions:

Applies deep learning algorithms and models for tasks such as image recognition, natural language processing, and other complex patterns.
Applies highly developed knowledge when applying advanced statistical methods to analyze complex datasets, uncovering nuanced insights and relationships.
Acts as a top-level specialist, optimizing machine learning models for efficiency, scalability, and improved performance in real-world applications.
Develops strategy for expertly selecting and engineering features to enhance model interpretability, accuracy, and generalization.
Designs and conducts A/B tests and experimentation to evaluate the impact of changes and interventions.
Leads cross-functional collaboration efforts, working closely with diverse teams to integrate data science solutions into business operations.
Develops algorithms that can scale to handle large datasets and complex computations, ensuring efficiency in processing.
Implements systems to deploy machine learning models into production environments, enabling their integration into operational systems.
Develops automated data pipelines for efficient data collection, processing, and integration, streamlining the end-to-end data science workflow.

Level of Supervision Received:

Under general supervision, proceeds alone on regular duties, referring questionable cases to manager

Education (can be substituted for experience):

Minimum Bachelor's Degree required

Work Experience (can be substituted for education):

0 - 2 years of experience required; 2 - 4 years preferred

Qlarant is an Equal Opportunity Employer of Minorities, Females, Protected Veterans, and Individuals with Disabilities.

Qlarant is a drug-free workplace. All offers of employment are contingent upon successful completion of pre-employment background and drug screens.

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