Data Scientist II

About the role

The Data Scientist II will own and deliver end‑to‑end data science solutions that drive measurable business impact. This role combines advanced modeling, experimentation and analytics while collaborating closely with cross‑functional teams.

Key responsibilities

• Translate complex business challenges into scalable machine‑learning solutions.
• Own the full data‑science lifecycle: problem definition, data exploration, experimentation, model development, validation, deployment and monitoring.
• Design and implement predictive and analytical models aligned with business objectives.
• Collaborate with Data Engineering to define data requirements and improve data quality.
• Partner with ML Engineering and Platform teams to support model deployment, integration and production performance.
• Mentor junior data scientists through code reviews and knowledge sharing.

Required profile

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or equivalent practical experience.
• 4–6 years of experience in data‑science or machine‑learning roles, with a proven track record of selecting and designing appropriate modeling approaches.
• Experience working with deployed models and iteratively improving them.

Required skills

• Machine learning and statistical modeling.
• A/B testing and hypothesis testing.
• Data exploration and feature engineering.
• Model development, validation, deployment and monitoring.
• Model optimization and performance tracking.