Data Science Senior Associate
Job Description & How to Apply Below
Advance your career at GALE as a Senior Associate in Data Science, focusing on impactful machine learning applications. Engage in hybrid work while providing data-driven solutions for diverse clients.
The Senior Associate role requires 3-5 years of experience in machine learning and data analysis. You will implement advanced algorithms, manage data pipelines, and communicate insights effectively.
This role offers an excellent opportunity to work across various industries, with a focus on tangible outcomes for clients.
Key Responsibilities:
• Work on research initiatives using advanced machine learning methods
• Implement data-driven solutions to facilitate growth for clients
• Prepare and integrate structured and non-structured data for analysis
• Conduct market research and customer segmentation analyses
• Build prototypes and APIs to demonstrate model effectiveness
Requirements:
• 3-5 years of experience with machine learning algorithms
• Proficient in SQL and Python for data processing
• Strong background in statistics and analysis
• Familiarity with Postgre
SQL, AWS Redshift, or similar databases
• Excellent influencing skills to drive client adoption
Bring your data science expertise to shape innovative solutions at GALE.
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Position Requirements
10+ Years
work experience
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