Data Scientist I

Qlarant • Remote, Remote, US,

2d • $64,606 - $97,888

About The Position

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.

Requirements

• Minimum Bachelor's Degree required
• 0 - 2 years of experience required

Nice To Haves

• 2 - 4 years preferred

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level