We are looking for a Data Analyst (Machine Learning) who can lead data-driven initiatives, turning complex data into clear insights that guide product evolution and strategic direction. This role goes beyond analysis—you're setting the foundation for how data is used to shape decisions across the business.

What You’ll Do

• Analyze large datasets to extract actionable insights that inform product and business decisions.
• Collaborate with data scientists and engineers to deploy machine learning models into production.
• Develop dashboards, reports, and data visualizations to track model performance and business impact.
• Perform exploratory data analysis (EDA) to uncover trends and opportunities.
• Assist in feature selection and engineering for machine learning algorithms.
• Conduct A/B tests and statistical analysis to validate model improvements.
• Translate complex data findings into clear, concise, and strategic recommendations.

Skills We’re Looking For

• Strong experience with Python (Pandas, NumPy, Scikit-learn) or R.
• Proficiency in SQL and working with relational databases.
• Solid understanding of statistical methods and machine learning fundamentals.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, or Looker).
• Comfortable manipulating large datasets from multiple sources.
• Experience with version control tools like Git.
• Strong communication and collaboration skills.

We’d Love It If You’ve Had

• Hands-on experience deploying ML models in production environments.