Sr. Data Scientist

Requirements: • • Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, or a related field. • 7+ years of experience in Data Science, Machine Learning, or a related field. • Experience working with consumer-facing products and large-scale data. • Advanced SQL and strong Python skills are a must. • Strong understanding of statistical modeling, machine learning algorithms, causal inference, and experimental design. • Experience with large-scale data processing and analysis using technologies such as Spark, Hadoop, or Hive; BigQuery is a plus. • Experience with SQL and relational databases. • Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. • Exceptional product sense and the ability to translate product/business problems into data science solutions. • Strong communication skills and experience working with cross-functional stakeholders.

Key Responsibilities: • Design, develop, and apply Data Science solutions to improve consumer-facing products. • Analyze large-scale datasets to identify trends, patterns, opportunities, and areas for improvement. • Develop and maintain data assets, including analytical tables, datasets, and self-service dashboards. • Build reporting and monitoring dashboards to help Product and Engineering teams understand key metrics and investigate changes. • Define and evaluate product metrics and measurement frameworks. • Design, analyze, and interpret experiments, including A/B tests. • Apply statistical modeling, causal inference, and machine learning methods to product problems. • Develop ML and DS solutions for use cases such as anomaly detection, prediction, and pattern recognition. • Partner with Product Managers and Engineers to translate product requirements and business questions into data science solutions. • Identify strategic insights and communicate them clearly to stakeholders. • Present analytical findings, experiment results, and recommendations to both technical and non-technical audiences. • Contribute to data-driven product strategy and decision-making.

Nice to Have: • Experience working in the Consumer Technology space. • Hands-on experience with causal inference and A/B testing.