Qualifications

• 5+ years of experience in machine learning or related fields
• Proficiency in data wrangling and preprocessing techniques
• Experience conducting machine learning experiments and model optimization
• Strong analytical skills with a focus on quantitative problem-solving
• Ability to work collaboratively with cross-functional teams
• Familiarity with baseline modeling and model deployment practices
• Excellent documentation and communication skills

Responsibilities

• Execute data wrangling to prepare data for analysis
• Conduct machine learning experiments to assess feasibility of solutions
• Fine-tune baseline models to achieve maximum performance
• Internally test models based on predefined business criteria
• Identify optimization techniques based on model performance results
• Document processes and findings for clear communication with stakeholders
• Collaborate with data scientists to implement model deployment strategies
• Assist product teams in planning and launching new product features
• Set and review objectives and key results (OKRs) for team performance
• Identify and articulate model validation metrics to product teams
• Stay updated on industry trends and prototype rapidly for solution feasibility

Benefits

• Opportunity to work on innovative ML solutions
• Collaborative work environment with cross-departmental teams
• Professional development through mentorship from Lead II
• Exposure to product planning and execution processes
• Chance to influence product features with data-driven insights