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Senior Predictive Modeler

2 months ago

San Francisco, California, United States Unreal Gigs Full time
About the Role

Unreal Gigs is seeking a highly skilled Senior Predictive Modeler to join our team of data science experts. As a key member of our analytics team, you will play a critical role in developing and implementing predictive models to drive business outcomes and support decision-making.

Key Responsibilities
  • Model Development: Develop predictive models using advanced statistical techniques, machine learning algorithms, and data mining methods to analyze large and complex datasets.
  • Data Analysis: Analyze data to extract meaningful insights and prepare data for modeling, ensuring high-quality data is used to inform business decisions.
  • Feature Engineering: Engineer features and variables from raw data to improve model performance and accuracy.
  • Model Evaluation: Evaluate model performance using appropriate metrics and validation techniques to ensure models meet business requirements.
  • Model Deployment: Deploy predictive models into production environments and integrate them into business applications to drive business outcomes.
  • Communication: Create clear and compelling visualizations to communicate model results and recommendations to stakeholders.
  • Collaboration: Collaborate with cross-functional teams to understand requirements and deliver predictive analytics solutions that meet business needs.
  • Documentation: Document model development processes, methodologies, and findings to ensure knowledge sharing and reuse.
  • Professional Development: Stay abreast of industry trends and best practices in predictive modeling and data analytics to maintain expertise and stay competitive.
  • Mentorship: Mentor and coach junior modelers, fostering a culture of continuous learning and improvement within the team.
Requirements
  • Education: Master's or Ph.D. degree in Statistics, Mathematics, Computer Science, Engineering, or related field.
  • Experience: 5+ years of experience in predictive modeling, machine learning, or data science.
  • Skills: Proficiency in statistical analysis, machine learning algorithms, and data mining techniques, as well as strong analytical and problem-solving skills.
  • Tools: Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
  • Soft Skills: Excellent communication and collaboration skills, with a strong attention to detail and ability to work independently.
What We Offer
  • Competitive Salary: Competitive salary based on experience and qualifications.
  • Benefits Package: Comprehensive benefits package, including health insurance and retirement plans.
  • Flexible Work Arrangements: Flexible work arrangements and generous vacation time.
  • Professional Development Opportunities: Professional development opportunities and access to training programs.
  • Diverse Work Environment: Opportunity to work with a diverse range of datasets and industries.
  • Collaborative Culture: Vibrant and collaborative company culture with growth opportunities.