Lead Machine Learning Data Scientist for Innovative Solutions

Drive advanced machine learning solutions as a Principal Associate Data Scientist. Leverage cutting-edge technologies to optimize data-driven strategies and create impactful models for diverse customer data. In this senior role, you will engage with large data sets to extract insights and develop machine learning algorithms. Your expertise in Python or R and experience with SQL, alongside tools like H2O or TensorFlow, will play a crucial role. This position requires creativity and a proactive approach to solving complex problems while experimenting with novel methodologies in a hybrid work model. Key Responsibilities:

• Write software to clean and investigate large datasets
• Build and deploy machine learning models for production
• Develop rapid experimentation and optimization pipelines
• Design experiments to optimize business strategies
• Investigate new methodologies and data technologies Requirements:
• 3+ years in Python or R for modeling
• 3+ years using version control (GitHub)
• 3+ years in machine learning or predictive modeling
• 3+ years with SQL
• Strong analytical and communication skills Utilize your machine learning expertise and creative problem-solving to impact customer experiences positively.