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About the Role

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.

Responsibilities

• 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.

Requirements

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

Skills

• Big data
• Innovative problem-solving techniques
• Predictive modeling
• Machine learning algorithms
• Deep learning algorithms
• Image recognition
• Natural language processing
• Advanced statistical methods
• Feature engineering
• A/B testing
• Experimentation
• Algorithm development
• Data pipelines

Experience Level

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

Education Level

• Minimum Bachelor's Degree required

About the Company

• 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
• Qlarant is a drug-free workplace.

Equal Opportunity

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