This job post is closed and the position is probably filled. Please do not apply.
π€ Automatically closed by a robot after apply link
was detected as broken.
Description:
Lead the development and execution of the company's data science strategy to drive business value and competitive advantage.
Apply advanced analytics and machine learning techniques to analyze large datasets and build predictive models for strategic initiatives.
Develop and deploy machine learning models from data preparation to production deployment.
Collaborate with cross-functional teams to align on business objectives and drive data science initiatives.
Mentor junior team members and foster a culture of continuous learning and knowledge sharing.
Create data visualizations and narratives to communicate analytical findings to stakeholders.
Stay updated on the latest developments in data science and explore innovative approaches to problem-solving.
Ensure the integrity and reliability of data science projects through quality assurance and governance processes.
Requirements:
Master's degree or PhD in Computer Science, Statistics, Mathematics, or related field.
5+ years of experience in data science, leading complex projects from conception to delivery.
Expertise in machine learning techniques like regression, classification, clustering, and natural language processing.
Proficiency in Python or R, along with data manipulation and analysis libraries.
Strong problem-solving skills and analytical thinking.
Excellent communication and collaboration abilities.
Leadership experience inspiring and mentoring junior team members.
Benefits:
Competitive salary ranging from $170,000 to $250,000 per year, with potential for higher compensation.
Comprehensive health, dental, and vision insurance plans.
Flexible work hours and remote work options.
Generous vacation and paid time off.
Professional development opportunities including training programs and conferences.
State-of-the-art technology environment with cutting-edge tools.
Vibrant and inclusive company culture with team-building activities.
Opportunities for career growth and advancement.
Exciting projects with real-world impact.
Work alongside top talent and industry experts in data science.